A REGIONAL ANALYSIS
   OF WEATHER, CLIMATE, WATER
  AND EARLY WARNING SERVICES
      IN SOUTHERN AFRICA:
STATUS QUO AND PROPOSED ACTIONS
The World Bank

August 2021

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                                                                                                        ACKNOWLEDGMENT




                        T
                              he World Bank team would like to acknowledge the Southern African Development Community
                              (SADC), the SADC Climate Services Centre and the World Meteorological Organization (Regional
                              Office for Africa) for their continued guidance throughout the analysis, coordination with
                        stakeholders in the region and contributions to the report. The report was made possible thanks to the
                        contributions from national services responsible for meteorology, hydrology, early warning and disaster
                        risk management in the 16 member states of SADC, River Basin Organisations, regional technical
                        organisations and representatives from private sector, universities and communities in Southern Africa.

                        The report was made possible and prepared in the context of the Building Disaster Resilience to Natural
                        Hazards in Sub-Saharan African Regions, Countries and Communities Program, which is an initiative
                        of the Organization of the African, Caribbean and Pacific States (OACPS), financed by the European
                        Union (EU) and implemented by the World Bank and Global Facility for Disaster Reduction and Recovery
                        (GFDRR). The World Bank team is grateful to the Organization of the OACPS, the EU and the African Union
                        Commission for their overall guidance and leadership to this program.

                        The report was prepared with the technical guidance and support from Royal HaskoningDHV, AquaLinks
                        and Weather Impact, with a team led by Tjeerd Driessen and Marieke de Groen with contributions from
                        Pleun Bonekamp, Fiona van der Burgt, Bradwell Garanganga, Karel Heijnert, Omar Khan, Alphonse
                        Mujinga, Seun Oyebode, Rene Pearson, Hanneke Schuurmans, and Nicholas Steffens. The World Bank
                        team for was led by Prashant Singh and Carl Dingel with contributions from Giovanni Castellanos, Makoto
                        Suwa, and Deon Terblanche. Sonia Quiroga conducted the socio-economic analysis. Darcy Gallucio edited
                        and Miki Fernandez of Ultra Designs, designed the report. The report also benefited from overall strategic
                        guidance and support of Sameh Wahba, Meskerem Brhane, Sylvie Debomy, Niels Holm Nielsen and Ana
                        Campos.

                        The World Bank as well as all partners and consultants extend their gratitude and appreciation to the
                        many stakeholders who in many different ways contributed to the study and the development of this
                        report.




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                    i
DISCLAIMER




             T
                  his report was prepared by the World Bank and the Global Facility for Disaster Reduction and
                  Recovery (GFDRR) with contributions from consultants. The findings, analysis and conclusions
                  expressed in this report do not reflect the views of the World Bank, its Board of Directors, the
             governments they represent or any of its partner organizations. 

             Although the World Bank and GFDRR have made all efforts to ensure that the information in this report
             is correct, its accuracy cannot be guaranteed. Use of any data or information from this report is at
             the user’s risk. The World Bank, GFDRR or any of its partners shall not be liable for any loss, damage,
             liability, or expense because of use of data contained in this document.

             The boundaries, colors, denomination, and other information shown in any map in this work do not
             imply any judgment on the part of the World Bank and its partners concerning the legal status of any
             territory or the endorsement or acceptance of such boundaries. 

             The program under review in this report was financed by the EU under the 10th European Development
             Fund through the ACP Secretariat and was implemented by the World Bank in association with GFDRR. 




ii	                                                                               STATUS QUO AND PROPOSED ACTIONS
                                                                                                      TABLE OF CONTENTS



                        Acronyms	iv
                        Executive Summary	vii
                        1.	 Introduction and Context	1
                        	    1.1	Introduction	                                                                        1
                        	    1.2	 Regional Context	                                                                   2
                        	    1.3	 Climate and Disaster Profile of Southern Africa	                                   3
                        	    1.4	 Hydromet Value Chain	                                                              5
                        2.	 Status of Hydromet Services in Southern Africa	9
                        	    2.1	 Methodology for taking stock and evaluating NMHSs	                                 9
                        	    2.2	 Status of National Meteorological And Hydrological Services	                       9
                                 2.2.1	 Enabling factors	                                                            13
                                 2.2.2 	 Observation and monitoring network	                                         13
                                 2.2.3	 Data processing, analysis and modeling	                                      16
                                 2.2.4	 Services including early warning	                                            18
                        	    2.3	 Status of regional services and organizations	                                     19
                        	    2.4	 Status of private sector engagement and collaboration with universities	           22
                        	    2.5	 Status of collaboration with universities	                                         23
                        3.	 Guidance for Strengthening Hydromet and Early Warning Services	25
                        	    3.1	 Proposed Objectives and Outcomes	                                                  25
                                 3.1.1 	 Outcome A: Stronger institutional capacity of and collaboration between
                                         NMHSs and regional organizations	                                           27
                                 3.1.2	 Outcome B. Observations and monitoring networks in the region
                                        are better equipped to support early warning services	                       27
                                 3.1.3 	 Outcome C. Improved lead time and accuracy of the hydromet forecast
                                         with emphasis on the key locations for Early Warning	                      28
                                 3.1.4 	 Outcome D. Improved generation and dissemination of impact-based
                                         early warnings for communities	                                            28
                        	    3.2	 Estimating needs for strengthening hydromet and early warning services	           28
                        4.	 Benefits of investing in hydromet and early warning services	31
                        	    4.1	 Methodology for the socioeconomic analysis	                                        32
                        	    4.2	 Estimation of Benefits from Hydromet and Early Warning Services	                  34
                        5.	 Conclusions and Recommendations	37
                        	    5.1 Conclusions on the status of Hydromet and Early Warning Services	                   37
                        	    5.2 Recommendations for strengthening hydromet and early warning services
                             in the SADC region	                                                                    38
                        	    5.3 Recommendations for Implementation	                                                40
                        6.	References	42


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ACRONYMS



           ACCESS        Applied Center for Climate and Earth System Science
           ACP           African, Caribbean and Pacific countries
           AfDB          African Development Bank
           ANACM         National Agency of Civil Aviation and Meteorology
           AUDA-NEPAD African Union Development Agency–New Partnership for Africa’s Development Southern African
           SANWATCE   Network of Water Centers of Excellence
           CBA           Cost-Benefit Anaysis
           CICOS         Commission Internationale du Bassin Congo-Oubangui-Sangha
           CDFS          ClimDev-Africa Special Fund
           CIRDA         Climate Information for Resilient Development and Adaptation
           CLIMSOFT      Climatological Software
           CNDRS         Centre National de Documentation et de Recherche Scientifique (Comoros)
           CREWS         Climate Risks and Early Warning Services
           CSC           Climate Services Center
           DCCMS         Department of Climate Change and Meteorological Services
           DCP           Department of Civil Protection (Zimbabwe)
           DGPC          Direction Generale de la Protection Civile
           DODMA         Department of Disaster Management Affairs
           DRC           Democratic Republic of Congo
           DMA           Disaster Management Agency
           DMMU          Disaster Management and Mitigation Unit
           DNGRH         Direcção Nacional de Gestão de Recursos Hídricos (Mozambique)
           DRM           Disaster Risk Management
           DWA           Department of Water Affairs
           DWR           Directorate of Water Resources (Tanzania)
           DWS           Department of Water and Sanitation (South Africa)
           ECMWF         European Center for Medium-Range Weather Forecasts
           ENEAM         Ecole Nationale d’Enseignement de l’Aéronautique et de la Météorologie
           ESPA          Ecole Supérieure Polytechnique d’Antananarivo
           ECCAS         Economic Community of Central African States
           EU            European Union
           EUMETSAT      European Organization for the Exploitation of Meteorological Satellites
           EWS           Early Warning System
           FEWSNET       Food Early Warning System-Net
           GBON          Global Basic Observation Network
           GCF           Green Climate Fund
           GISC          Global Information System Center
           GNI           Gross National Income
           GPC           Global Production Center




iv	                                                                                   STATUS QUO AND PROPOSED ACTIONS
                                                                                                                     ACRONYMS



                         GTS           Global Telecommunication System
                         HYCOS         Hydrological Cycle Observing System
                         Hydromet      Hydro-meteorological
                         HYDSTRA       Hydstra/TS is a time-series data management system by Kisters (proprietary)
                         ICPAC         IGAD Climate Prediction and Applications Center
                         ICT           Information and Communications Technology
                         IGAD          Intergovernmental Authority on Development
                         IHP           International Hydrological Program
                         INAM          Instituto Nacional de Meteorologia (Mozambique)
                         INAMET        National Institute for Meteorology and Geophysics (Angola)
                         INGD          Instituto Nacional de Gestão e Redução do Risco de Desastres (Mozambique)
                         INRH          National Institute for Water Resources (Angola)
                         IOC           Indian Ocean Commission
                         IT            Information Technology
                         LAM           Limited Area Model
                         LIMCOM        Limpopo River Basin Commission
                         LMS           Lesotho Meteorological Services
                         LRR           Loss Reduction Rate
                         MASA          Meteorological Association of Southern Africa
                         METCAP        Common Alerting Protocol
                         METTELSAT     Agence Nationale de Météorologie et de Télédétection par Satellite (DRC)
                         NOAA          National Oceanic and Atmospheric Administration
                         NDMA          National Disaster Management Authority
                         NDMC          National Disaster Management Center
                         NHS           National Hydrological Services
                         NMHS          National Meteorological and Hydrological Services
                         NMS           National Meteorological Services
                         NPV           Net Present Value
                         OKACOM        Okavango River Basin Commission
                         ORASECOM      Orange-Senqu River Basin Commission
                         PeriPeri U    Partners Enhancing Resilience for People Exposed to Risks
                         PMO-DMD       Prime Minister’s Office - Disaster Management Department (Tanzania)
                         PPE           Public-Private Engagement
                         RSMC          Regional Specialized Meteorological Center
                         RTC           Regional Training Center
                         RTH           Regional Telecommunications Hub
                         SADC          Southern African Development Community
                         SARCOF        South African Regional Climate Outlook Forum
                         SARFFGS       Southern Africa Regional Flash Flood Guidance System



A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                               v
ACRONYMS



           SASSCAL   Southern African Science Service Center for Climate Change and Adaptive Land Management
           SAWS      South African Weather Service
           SEB       Socio-Economic Benefits
           TAHMO     Trans-African Hydro-Meteorological Observatory
           TMA       Tanzania Meteorological Authority
           UNDP      United Nations Development Programme
           VLab      Virtual Laboratory
           WARMA     Water Resources Management Authority (Zambia)
           WIGOS     WMO Integrated Global Observing System Center
           WISER     Weather and Climate Information Services for Africa
           WMO       World Meteorological Organization
           WRF       Weather Research and Forecasting
           ZAMCOM    Zambezi River Basin Commission
           ZAMWIS    Zambezi Water Resources Information Systems
           ZINWA     Zimbabwe National Water Authority
           ZMD       Zambia Meteorological Department
           SMA       Seychelles Meteorological Authority




vi	                                                                           STATUS QUO AND PROPOSED ACTIONS
                                                                                                         EXECUTIVE SUMMARY




                        S
                              outhern Africa is highly vulnerable to extreme weather, climate and water-related events. These
                              include droughts and floods; severe convective storms accompanied by heavy rain, lightning,
                              hail and strong winds; tropical storms and cyclones causing storm surges, strong wind and heavy
                        rainfall; and frontal systems that bring freezing weather and snowfalls to the southern parts of the region.
                        The region is home to approximately 345 million people whose lives and livelihoods are directly affected
                        by the impacts of extreme weather and climate events. The southern African nations are organized
                        through the Southern African Development Community (SADC) which comprises of 16 Member States.

                        In line with global trends, natural hazards in the SADC region have been increasing in frequency and
                        intensity over the past three decades and warming over the region is faster than the global average. The
                        entire region is affected (in descending order of exposure) by droughts, floods, cyclones, and earthquakes.
                        Meteorological, climatological, and hydrological services, in this context referred to jointly as “hydromet
                        services”, play an important role in providing timely and adequate information for early warning. Early
                        warning can save lives and will improve the management of sectors of the economy, such as agriculture,
                        industry, power production and transport. The objective of the report is threefold:

                        ●	   gain a better understanding of the status of the hydromet services in the different SADC Member States,
                        ●	   identify challenges that could best be addressed with a regional approach, and to
                        ●	   identify needs for strengthening hydromet services with a specific focus on early warning services.

                        Status of Hydromet Services in Southern Africa
                        Using the metric developed for this study, most National Meteorological Services (NMSs) have a higher
                        level of maturity than the National Hydrological Services (NHSs) in the same country (see table ES1).
                        The NHSs are often non- or semi-autonomous departments as part of the Ministry of Water. Their limited
                        capacity is therefore often focusing on providing advice on water use licenses and decision support to
                        feasibility studies for infrastructure. As a result, the scope of further hydrological services including flood
                        and drought warnings is generally very limited.

                        Most organizations have basic challenges such as insufficient funds to pay staff salaries and basic
                        infrastructure needs. Few NMHSs engage actively with sectors and users providing only in few cases
                        dedicated services to those sectors. As a result, services for the large economic sectors, including the
                        important agricultural sector, are generally basic.

                        The early warnings for floods and hydrological droughts are mainly based on observations and weather
                        forecasts or climate outlooks, not on hydrological and/or hydraulic modeling. The cascading forecasting
                        process, which promotes the use of global and regional forecasts to be interpreted nationally, is applied,
                        but its value is limited due to the low number of observations feeding into the global models and/or
                        validating outputs of such models. This is a result of challenges in the observation infrastructure, but also
                        of limitations in information technology (IT) infrastructure, license fees and human capacity to make use
                        of the global and regional services.

                        Many current meteorological and hydrological stations are not operational, while networks are already
                        not sufficiently dense for initialization and calibration of the global weather models and for early warning
                        on hydrological events. While there are needs expressed for extending these networks, the current
                        capacities are not sufficient to get the operability of the current networks higher.




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EXECUTIVE SUMMARY



               Communication and coordination with Disaster Risk Management (DRM) agencies can be improved.
               To some extent Standard Operating Procedures are in place. However, the NMHSs are resourceful in
               managing with the limited means they have and are attempting to apply concepts such as impact based
               forecasting to improve early warning services.

               Table ES1: Maturity scores for national meteorological and hydrological services

                                          National Meteorological Services           National Hydrological Services
                                      Questions                                  Questions
                                      answered                                   answered
                Maturity score           (%)           Score          Level         (%)          Score           Level
                Angola                  78%            59%          Essential      68%           38%             Basic
                Botswana                73%            50%          Essential      77%           23%             Basic
                Comoros                 47%            25%            Basic                  Not applicable
                DRC                     47%            14%         Below Basic               Not assessed
                Eswatini                84%            42%          Essential      79%           23%             Basic
                Lesotho                 88%            45%          Essential      83%           47%           Essential
                Madagascar              77%            62%             Full        42%            9%          Below Basic
                Malawi                  86%            57%          Essential      79%           36%             Basic
                Mauritius               96%            67%             Full        64%           28%             Basic
                Mozambique              50%            32%            Basic        60%           53%           Essential
                Namibia                 94%            43%          Essential      94%           42%           Essential
                Seychelles              97%            63%             Full                  Not applicable
                South Africa            99%            92%          Advanced       91%           75%             Full
                Tanzania                92%            84%          Advanced       83%           38%             Basic
                Zambia                  91%            50%          Essential      72%           43%           Essential
                Zimbabwe                95%            66%             Full        81%           42%           Essential


               Guidance for strengthening hydromet and early warning services
               Drawing from the analysis of the status of weather, climate, water and early warning services in the
               region, an action plan for strengthening hydromet services has been formulated. The goal of the
               proposed action plan is “to have NMHSs within the SADC region that are capable to (better) provide impact-
               based early warning services on climate, weather and water hazards.”

               The vision is that by 2030 (and, where possible by 2025) in all SADC member states essential early
               warning services can be provided and that service levels have improved in this regard. Regional
               Centers have sustained and modernized their operation, providing adequate services to the countries,
               communities and businesses in Southern Africa, and support Member States in a cascading approach.
               Based on the analysis in the stocktaking report, four outcomes were identified to achieve this goal:

               A.	 Stronger institutional capacity of and collaboration between NMHSs and regional organizations
               B.	 Observations and monitoring networks in the region are better equipped to support early warning
                   services
               C.	 Improved lead time and accuracy of the hydromet forecast with emphasis on the key locations
               D.	 Improved generation and dissemination of impact-based early warnings for specific user groups


viii	                                                                                    STATUS QUO AND PROPOSED ACTIONS
                                                                                                            EXECUTIVE SUMMARY



                        Based on the findings of the stocktaking phase, a regional investment framework and action plan has
                        been prepared to strengthen early warning services. It should be highlighted that:

                        ●	   The needs to strengthen are estimated at US$ 116 million. In addition, US$ 89.4 million would be
                             required as operation expenses for 10 years and 277 staff would need to be mobilized to execute the
                             actions.
                        ●	   The total operational costs and the additionally required staff costs would considerably exceed the
                             gross capital investments. This makes explicit the liabilities that are a result of the investments, which
                             need to be carried by the Member States.
                        ●	   Member States will also need to reserve additional funding for annual depreciation of goods and works
                             to sustain the services after the lifespan of equipment. This reservation is not included in the total
                             budget.
                        In table ES2 below the estimated costs per outcome and for regional and national level are presented.

                        Table ES2: SADC region hydromet investment costs per outcome
                                                                          Gross Capital Investments and Actions
                                                                                     (in US$ million)
                         Outcome                     Works            Goods         Consultancies           Training        Total
                         Outcome A                     0               0.5               3.0                  6.7           10.2
                         Outcome B                     4.9             25.2               8.1                 8.6           46.8
                         Outcome C                     0               3.8                9.7                18.7           32.2
                         Outcome D                     2.6             2.6               20.4                 1.6            27.1
                         Total                         7.5             31.2              41.2                35.6           116.3


                        Benefit of Investing in Hydromet Services
                        The benefits of investing in hydromet services, also with narrow focus on early warning services, are
                        substantial, particularly due to the foregone damages and losses from floods and droughts in the region.
                        The report focusses only on hydromet services related to early warning. The estimation of socio-economic
                        benefits is thus also related only to the direct and indirect benefits of early warning services and not for
                        example on agrometeorology. It is however acknowledged that potentially the socio-economic benefits
                        would be higher, but also that substantially more would need to be done to effectively provide different
                        user communities with, such as agriculture, transport, or insurance, with adequate early warning services.
                        The socio-economic benefit analysis highlights the potentially huge benefits, which can be achieved for
                        different sectors of the economy. With the proposed actions and investments benefits of US$ 7 to US$ 12
                        for every US$ 1 invested are estimated.


                        Recommendations
                        Building upon the existing strong regional institutions the following recommendations are proposed for
                        the implementation of those actions:

                        ●	   Strengthening hydromet services in Southern Africa requires substantial investments and concerted
                             efforts from governments, development partners and the private sector. For actions to strengthen hy-
                             dromet services related to early warning, the gross investment costs are estimated to be US$ 116 mil-
                             lion. In addition, commitments from governments on operation and maintenance, staffing and training



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EXECUTIVE SUMMARY



                    are prerequisite for making the envisioned outcomes of such investment sustainable. These costs
                    can be substantial and are estimated over a period of 10 years at US$ 89.4 million for operation
                    and maintenance. While it makes sense for governments to prioritize funding of hydromet services,
                    additional grants, loans and public-private partnerships might be needed to source this finance, in
                    particular during this difficult period of recovery from the COVID-19 pandemic. Adequate provision
                    of hydromet services to vulnerable communities and economic sectors needs such investments. How-
                    ever, it is realized that implementing all actions simultaneously may not be possible financially and
                    in terms of capacity of the organisations. Therefore, allowing an incremental increase in capacity of
                    NMHS may be the most durable way forward.
               ●	   Regional cooperation between the various role players in the hydromet value chain, of which the
                    NMHSs and disaster management structures are central, is a key success driver for improving hy-
                    dromet services and EWS in the region.
               ●	   Differences in climate, organizational structure, existing hydromet value chain, potential partner-
                    ships with the private sector and available financial and human resources all need to be considered
                    for a detailed design of country-level investments and actions.
               ●	   The modernization of hydromet and early warning services in Southern Africa should complement
                    and leverage ongoing initiatives, such as the Global Framework for Climate Services, Climate Risks
                    and Early Warning Services (CREWS), WMO’s Systematic Observations Financing Facility (SOFF) and
                    other projects or programs targeted towards hydromet modernization. Notably, the SOFF would be
                    an important program, as it aims to provide finance for bringing observation networks to Global
                    Basic Observation Network (GBON) standards. These GBON standards are developed to improve the
                    performance of global weather forecasting models, which are important in the cascading approach of
                    forecasting. Also, the program coordinated by the Indian Ocean Commission that has started in 2021
                    may cover some of the actions for the island states.
               ●	   A program for modernizing hydromet and early warning services in Southern Africa should be the
                    joint effort of national governments, regional organisations, including SADC and River Basin Organi-
                    sations, private sector and development partners and be part of the global structure, such as GBON.
                    As a next step, the report should be taken forward through the Hydromet Alliance, which is a part-
                    nership of WMO, other UN organisations and multilateral development Banks, including World Bank.
                    Individual country assessments, with operation, maintenance and staffing plans would need to follow
                    to operationalize the recommendations of the report.




x	                                                                                     STATUS QUO AND PROPOSED ACTIONS
                                                                                       1 • INTRODUCTION AND CONTEXT



                        1.1 Introduction
                        Southern Africa is highly vulnerable to extreme weather, climate, and water-related events. These
                        include droughts and floods; severe convective storms accompanied by heavy rain, lightning, hail and
                        strong winds; tropical storms and cyclones causing storm surges, strong wind and heavy rainfall; and
                        frontal systems that bring freezing weather and snowfalls to the southern parts of the region. The region
                        is home to approximately 345 million people whose lives and livelihoods are directly affected by the
                        impacts of extreme weather and climate events. The southern African nations are organized through
                        the Southern African Development Community (SADC) which comprises of 16 Member States: Angola,
                        Botswana, Comoros, Democratic Republic of Congo, Eswatini, Lesotho, Madagascar, Malawi, Mauritius,
                        Mozambique, Namibia, Seychelles, South Africa, Tanzania, Zambia, and Zimbabwe.

                        In 2021, the SADC, together with the World Meteorological Organization (WMO), World Bank, European
                        Union (EU) and other partners, hosted the first Hydromet Forum. The purpose was to discuss and set
                        priorities to strengthen weather, water, and climate information as well as disaster risk management
                        strategies and services for sustainable development and reducing regional disaster and climate risks.
                        The participants discussed the critical role of hydromet and early warning services for sectors that drive
                        the region’s economies, such as agriculture, urban and industrial activities, and aviation and marine
                        services, and for combating the socio-economic impacts of disaster and climate risks. In this context,
                        the term “hydromet” services is defined as meteorological (weather and climate) and hydrological (water
                        resources and flooding hydrology and hydraulic) services. In this report, the organizations responsible for
                        meteorological services and hydrological services are referred to as respectively National Meteorological
                        Services (NMSs) and National Hydrological Services (NHSs), or jointly National Meteorological and
                        Hydrological Services (NMHSs). To provide timely and accurate early warning, they need to cooperate
                        and coordinate with each other. They also need to make use of regional and global information as many
                        weather systems impact several countries at a time and several river catchments are shared between
                        countries. However, they are all resource constrained. To further improve early warning, they would need
                        support from each other, the private and academic sectors, and development partners.

                        In Southern Africa, the coordination between disaster risk reduction and hydromet services is among
                        others advanced by SADC. It formulated the SADC Disaster Risk Reduction Strategic Plan, and it
                        facilitates the Southern African Climate Outlook Forums through SADC Climate Services Centre (SADC
                        CSC). It assists NMSs through regional investment programs and facilitated the establishment of river
                        basin organizations (RBOs) to manage transboundary river basins. The region is also home to several
                        WMO designated regional centers covering topics ranging from training and meteorological data
                        communication to guidance on severe weather, seasonal forecasts and tropical cyclone advice, based on
                        the competencies of the host organizations.

                        The study’s objective is to take stock of the state of hydromet services and early warning systems in SADC
                        Member States, to identify opportunities for regional collaboration and to inform investment planning
                        in those services. This study builds on various previous studies for evaluating and advising on national
                        hydromet services in developing countries (Rogers et al. 2019; WMO 2015; World Bank 2019, among
                        other) to identify good fit for NMHSs in Southern Africa.

                        The study was carried out in a fully virtual manner during the COVID-19 global pandemic. The analysis
                        was based on an online questionnaire with responses from 49 organizations, 23 online workshops, many
                        bilateral phone calls and expert judgment. The analysis and study results have been validated with the
                        region in two virtual workshops. This summary report is informed by the following components:



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1 • INTRODUCTION AND CONTEXT



                 ●	   Taking stock of the existing national climate, weather and water services in Southern Africa as well as
                      the challenges, needs and opportunities
                 ●	   Providing guidance on strengthening early warning services in Southern Africa
                 ●	   Analyzing academic and private-sector engagement in the provision of hydromet and early warning
                      services in Southern Africa

                 1.2 Regional Context
                 The total population in the SADC region has grown from 277 million in 2010 to over 340 million in 2018
                 and is expected to continue growing to about 500 million by 2050. Southern Africa also has countries
                 with very different country sizes and population densities, development statuses and economies.
                 Botswana, Namibia, Mauritius, Seychelles, and South Africa are high-income or upper-middle-income
                 countries, where agriculture contributes marginally to GDP. Democratic Republic of Congo, Madagascar,
                 Malawi, and Mozambique are low-income countries where agriculture contributes significantly to GDP.
                 In Malawi and Mozambique, more than 70 percent of the population is employed in agriculture. Table 1
                 provides an overview of the key country and development indicators.

                 Table 1. Overview of key country indicators for SADC member states
                                     Total       Rural                    GDP*                           Employment in        Income level
                                     Pop.        Pop.        GDP*       per capita      Agriculture       Agriculture        Income group
                                     2018        2018         2018        2018         2014-18 avg           2018           (GNI per capita,
                  Country           million       %         $ billion       $            % of GDP          % of total           2018)**
                 Angola                 30.8        34.5        99.6        3,234                9.03                50.9   Lower middle
                 Botswana                 2.3       30.6        18.1        8,033                2.06                20.4   Upper middle
                 Comoros                  0.8       71.0          1.2       1,403                31.3                35.0   Lower middle
                 DRC                    84.1        55.5        35.2          418                18.9                64.8   Low
                 Eswatini                 1.1       76.2          5.4       4,762                  8.9               12.5   Lower middle
                 Lesotho                  2.1       71.8          2.6       1,248                  4.5               44.9   Lower middle
                 Madagascar             26.3        62.8        12.7          484                25.1                64.7   Low
                 Malawi                 18.1        83.1          9.5         521                25.5                76.6   Low
                 Mauritius                1.3       59.2        13.4       10,577                  3.1                6.2   High
                 Mozambique             29.5        64.0         17.5         593                23.9                70.6   Low
                 Namibia                  2.4       50.0        14.8        6,029                  7.4               22.6   Upper middle
                 Seychelles               0.1       43.3          1.4      14,140                  2.1                n/a   High
                 South Africa           57.8        33.6       429.5        7,432                  2.2                5.2   Upper middle
                 Tanzania               56.3        66.2        52.4          959                 27.3               65.7   Lower middle
                 Zambia                  17.4       56.5        29.1        1,678                  5.1               50.1   Lower middle
                 Zimbabwe               14.4        67.8        18.6        1,289                  7.5               50.1   Lower middle
                 Source: World Bank (2021b). Note: *Gross domestic product (constant 2010 dollars); **World Bank classification.



                 In urbanization, the region paints a very diverse picture. Urban population growth in the last five years
                 (2016-2020) has ranged between 1.6 percent in Eswatini to 5.0 percent in Tanzania (World Bank 2021a).
                 Mauritius is the only regional country not to experience urban population growth in this period. Angola,
                 Botswana and South Africa are the most urbanized countries, while Eswatini, Lesotho and Malawi are
                 the least urbanized countries. In many cases, dense cities are prone to flash floods. Food security is an
                 issue across Southern Africa due to limited purchasing power and high climate variability.




2	                                                                                                    STATUS QUO AND PROPOSED ACTIONS
                                                                                                     1 • INTRODUCTION AND CONTEXT



                        1.3 Climate and Disaster Profile of Southern Africa
                        Apart from human density differences and economic circumstances, Southern Africa also has a wide
                        variety of climates and geographies. Climate types include an arid coastal desert along the west coast of
                        South Africa and Namibia, a semi-arid temperate climate with summer rainfall over the interior central
                        plateau, a humid subtropical climate over the low-lying coastal regions of the southeast, and a winter
                        rainfall Mediterranean climate in the south-western part of South Africa. The oceans and the geography
                        influence the differences, with the movement of the Inter Tropical Convergence Zone and the influence
                        of tropical systems and cyclones as well as frontal systems also playing a role in annual variations. Large
                        parts of the region are also affected by convective storms that are often accompanied by heavy rain,
                        strong winds, reduced visibility, lightning and hail.

                        In line with global trends, natural hazards in the SADC region have been increasing in frequency and
                        intensity over the past three decades and warming over the region is faster that the global average. The
                        entire region is affected (in descending order of exposure) by droughts, floods, cyclones. However, these
                        hazards are only the most extensive ones; countries and cities in the region are affected by other hazards
                        such as sea level rise, heat stress, fire hazards, storm surges and volcanic eruptions. Disasters resulting
                        from these hazards have a domino effect especially on urban systems, as they have primary local impacts
                        (infrastructure damage and loss of lives and livelihoods) and secondary ripple effects in neighboring and
                        distant cities and towns due to interconnected trade networks and ecosystems. Table 2 summarizes the
                        average annual flood loss based on EMDAT data between 1960 and 2019 (Guha Saphir et al., 2021).

                        Table 2: Southern Africa regional flood impacts and potential benefits of hydromet services for floods
                        (source: Guha Saphir et al., 2021)
                                                                                    C. Total        D. Estimated average        E. Estimated average
                                                A. Flood          B. Flood          affected          annual damages*         annual avoided damages
                            Country             episodes        frequency 1       per episode            ($ millions)                ($ millions)
                            Angola                 45               1.50             28,793                306.54                       39.85
                            Botswana               11               0.23             16,235                 26.97                        3.51
                            Comoros                 2               0.20             33,819                 48.01                        6.24
                            DRC                    35               1.21            31,006                 248.47                       32.30
                            Eswatini                3               0.16             91,633                102.69                       13.35
                            Lesotho                 5               0.15            37,000                  38.62                        5.02
                            Madagascar             10               0.30            29,646                  63.76                        8.29
                            Malawi                 42               0.81            91,684                 525.59                       68.33
                            Mauritius               1               0.17               82                   0.10                        0.01
                            Mozambique             42               0.81            239,760               1,374.47                     178.68
                            Namibia                16               0.84            68,960                 412.17                       53.58
                            Seychelles              2               0.09             2,836                   1.83                       0.24
                            South Africa           42               0.70             13,939                 69.26                       9.00
                            Tanzania               52               0.95             24,532                164.62                       21.40
                            Zambia                 22               0.54            267,473               1,018.66                     132.43
                            Zimbabwe               12               0.57            28,669                 116.27                       15.12
                            Total                                                                                                      543.99
                        Note: Calculations are based on annualized avoidable damages. $1 = LRR 0.32; * Damage x Affected x FP.
                        Note: The values are annualized considering the flood frequency, so considered for every year, not only for those years with a
                        flood episode occurring.

                        1
                         	 Flood frequency is calculated as EM-DAT reported episodes with respect to total based on Lesk, Rowhani and
                           Ramankutty (2006).

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1 • INTRODUCTION AND CONTEXT



                 Ecosystems do not follow administrative boundaries. Apart from local impacts of climate, also
                 transboundary aspects play a role and regional cooperation is therefore important. In Southern Africa,
                 climate and hazard patterns are not equally distributed and are often transboundary. Several river
                 basins responsible for major floods are transboundary (Figure 1) and droughts often have impact on
                 several countries at the same time.

                 Figure 1: SADC political boundaries and major river basins2


                                 SADC Political Boundaries and Major River Basins




                                                                                     Mauritius




                                                                                     Seychelles
                      Buzi          Limpopo        Rovuma     Capital Cities
                      Congo         Madagascar     Save       Watercourses
                      Cuvelai       Maputo         Umbeluzi   Waterbodies
                      Incomati      Okavango       Zambezi    Political Boundaries
                      Kunene        Orange-Senqu



                 	 SADC (2016).
                 2




4	                                                                                                STATUS QUO AND PROPOSED ACTIONS
                                                                                        1 • INTRODUCTION AND CONTEXT



                        Droughts occur frequently in the region and have devastating and far-reaching impacts. Each year in
                        most countries, drought is experienced somewhere, dependent on the definition used. Between 1980
                        and 2000, the SADC region was struck by four major regional droughts.

                        ●	   In 2015/16, El Niño disrupted the agricultural season, with major parts of Eswatini, Lesotho, Namibia,
                             South Africa and Zimbabwe declaring drought emergencies and this drought cycle lasted for some
                             years. Prolonged droughts have impacted food security. For example, in the 2018/19 agricultural sea-
                             son, about 10.8 million people were affected by food insecurity (OCHA 2019).
                        Floods and tropical cyclones often lead to significant damage and loss of infrastructure, lives and
                        livelihoods:

                        ●	   Flooding impacts nearly every country in Southern Africa. Floods are common events in the river ba-
                             sins of the Congo, Limpopo, Okavango and Zambezi and affect cities and human settlements in Angola,
                             Botswana, DRC, Mozambique, Namibia, South Africa, Zambia and Zimbabwe. In the Zambezi River
                             catchment areas, floods frequently impact Malawi, Mozambique, Zambia and Zimbabwe.
                        ●	   Cyclones and tropical storms mostly impact countries along the Indian Ocean Coast: Madagascar, Mo-
                             zambique and the Indian Ocean islands. The cyclone season runs from November to May. While the
                             area of land affected is vast, the threat to coastal cities in Mozambique and river basins stretching
                             inland to areas in neighboring countries (Malawi and Zimbabwe) is equally important. The impacts can
                             cause flooding and subsequent landslides. Hence, these storm events often lead to severe flooding and
                             cause acute damages and losses. In 2018/ 2019, Cyclones Idai and Kenneth caused extensive damage,
                             even reaching inward-located countries: 975,600 and 270,000 people were affected in Malawi and
                             Zimbabwe, respectively.
                        The frequency and intensity of these hazards differ but their risk has been increasing with climate change
                        and the growing population within the region. However, uncertainty surrounds the extent and location of
                        the increasing extremes. Temperature changes are more certain than precipitation changes. Projections
                        suggest that Southern Africa will be substantially affected by changing temperature and rainfall
                        patterns as well as an increased number and possibly more severe cyclones in the Indian Ocean
                        region (Sesolle 2012). In general, SADC has experienced a downward trend in its regional rainfall
                        pattern, with below normal rainfall becoming more frequent, which in combination with higher
                        evaporation losses due to warmer temperatures, impacts regional water resources negatively.

                        Livelihoods and economies in Southern Africa are vulnerable to weather and climate shocks. Notably,
                        countries that are highly dependent on agriculture and employ a large part of the population in agriculture
                        have experienced substantial impacts on livelihoods and economies.

                        1.4 Hydromet Value Chain
                        Investing in hydromet services is commonly considered a priority “low regret” climate adaptation
                        and disaster risk reduction strategy. While methodologies to assess the economic benefits of these
                        investments are still evolving, the literature suggests that such activities can be extremely beneficial.
                        These investments help to avert losses associated with climate hazards and enhance the productivity of
                        climate-dependent sectors, such as agriculture, water resources management, hydropower and transport.

                        The hydromet value chain (figure 3) shows that value, in economic and social terms, starts with
                        observation of climate through to decision-making and outcomes (WMO 2015a). As such, the value of
                        an accurate, timely and relevant forecast can only be maximized if a beneficial value is achieved at the



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1 • INTRODUCTION AND CONTEXT



                  end of the process. Any project design on the modernization of hydromet and disaster risk management
                  services should be designed around an effective value chain that links the monitoring and modeling with
                  concrete services to different sectors of the economy and communities. Merely improving observations
                  or forecasts, through improved technologies, for example, will not necessarily generate economic value
                  unless the entire value chain process works to facilitate impacts and end-user decision-making.

                  Figure 3: National Hydromet Services production and delivery system components (above); Hydromet
                  value chain (below)3

                                           Processing and data management




        Weather
        Climate          Observations       Modelling               Forecasting       Service delivery
         Water



                                               Research and development




                                                  COMMUNICATION PROCESSES

                      Service Production          Basic and
                                             specialized services            User decisions
     Weather                                     NMHS and                     and actions
                                                                                                         Outcomes
     Climate                                commercial providers
      Water
                                                    VALUE-ADDING PROCESSES




                  	 Source: WMO 2015a.
                  3




6	                                                                                            STATUS QUO AND PROPOSED ACTIONS
                                                                                       1 • INTRODUCTION AND CONTEXT



                        In this report, hydromet services are a combination of weather, climate and hydrological services, not of
                        hydrometeorology in its stricter sense. Weather and climate services that do not have a direct relationship
                        with hydrology (such as aviation) are included in the stocktaking. However, not all hydrological services
                        have been included in the stocktaking. Groundwater and water-quality services have not been included,
                        as in most cases they are not in the hydrology section of the water departments that were involved in
                        the survey. The hydromet value chain represents the interlinked and interdependent building blocks that
                        are needed to translate the actual weather, water and climate conditions into services and products to
                        inform wise decisions be society. For the analysis in this study, the hydromet value chain described in
                        WMO (2015) has been applied in a simplified form:

                        ●	   Enabling factors strengthen all blocks of the value chain and include institutional capacity, such as
                             staff numbers, overall IT capacity and power supply and ways of dissemination.
                        ●	   Observation and monitoring include surface-based observations and remote-sensing observations.
                        ●	   Data processing, analysis and modeling include modeling for analyses and forecasts.
                        ●	   Services include all services for end-users.
                        The NMS and NHS in each country, are jointly in charge of organizing and/or facilitating the strengthening
                        of the hydromet value chain while a growing number of other stakeholders are involved and contributing
                        to the value chain, especially in recent years. The DRM organization is an important user of information
                        from the NMHS for early warning and the inputs of the DRM organizations have therefore also been
                        received during this study.




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                    7
High tide at a caravan park, Hermanus, South Africa. Photo: Melissa Jooste / Alamy Stock Photo
                                                                                     2 • STATUS OF HYDROMET SERVICES
                                                                                                   IN SOUTHERN AFRICA


                         2.1 Methodology for taking stock and evaluating NMHSs
                         This stocktaking of existing weather, climate, and water services in Southern Africa, including the
                         challenges and needs, aims to better understand the status of hydromet services in the region. Three
                         reports played a key role for the development of the survey and to assess maturity levels: Weathering
                         the Change (Rogers et al. 2019), The Power of Partnership (World Bank 2019) and WMO Capacity
                         Development Strategy and Implementation Plan (WMO 2015). After the survey, virtual workshops in
                         each country and bilateral telephone calls took place to fill any gaps and clarify or correct responses.
                         This resulted in a comprehensive set of responses that crystalized the status of hydromet services in
                         Southern Africa.

                         The categorization and evaluation of the NMHSs on the four components of the hydromet value chain
                         was assisted by scoring to describe the level of maturity. The maturity score is based on the information
                         provided by the organizations, on all four components of the hydromet value chain and on multiple
                         choice questions in the survey. The categories described in the WMO Capacity Development Strategy and
                         Implementation Plan (WMO 2015) were used as a reference to link multiple choice answers to certain
                         levels. Those WMO-categories are Basic, Essential, Full and Advanced. In addition, a fifth category
                         ‘Below Basic’ was introduced for instances where the Basic level was not achieved. The method is further
                         explained in Box 1.


                                         Box 1: Calculation maturity scores and levels
   For each question that contributed to the maturity score, the multiple-choice options were connected to a certain WMO-
   category. For the organizational maturity score, the scores for all answers (1 for Basic, 2 for Essential, 3 for Full and 4 for
   Advanced) were summed up and divided by the maximum number of points that could be obtained from the questions
   answered. For example, if a country answered a question in a way that corresponds with a ‘Basic’ level where one could
   score ‘Advanced’ as highest score, the country retrieved 1 out of 4 points, while 4 was added to the maximum number of
   points that could be obtained. Since not all organizations answered the survey to the same extent, it should be noted that
   the organizational maturity score is not always calculated based on the same number and type of questions. Hence, caution
   and diligence are needed to correctly interpret the organizational maturity scores. The organizational maturity scores
   described as a percentage were then translated to 1 of the 5 maturity levels (that is, Below Basic: not more than 20%, Basic:
   between 20% and 40%, Essential: between 40% and 60%, Full: between 60% and 80%, Advanced: more than 80%).
   The overall maturity scores are based on averaging and this does not mean all requirements of WMO for a certain lower
   category are then fulfilled. The scores are used to get an overall impression on how the NMHS organizations for the different
   countries compare. Hence, the maturity levels are qualitative levels after assessment of the entire hydromet value chain of
   the organizations and explain how advanced an organization is in addressing all components of the hydromet value chain.


                         2.2 Status of National Meteorological And Hydrological Services
                         The 16 member states of SADC have a very diverse range of NMHSs, which are in most cases under
                         the authority of different ministries and departments. Table 3 provides an overview of the national
                         organizations responsible for weather and climate services, water services and early warning and disaster
                         risk management. In most countries, the NMS is an autonomous organization and the NHS is part of the
                         ministry responsible for water resource management. As a result, the NHS is not only providing early
                         warning services, but also conducting hydrological analyses for water-use licenses, for monitoring water
                         use and for supporting feasibility studies. The responsibilities of the NHSs between countries also differ,
                         depending on the presence/absence of catchment management agencies and whether geohydrology and
                         water quality departments are separate or included in what is referred to as the NHS.


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2 • STATUS OF HYDROMET SERVICES
IN SOUTHERN AFRICA


                 Table 3: Overview of National Meteorological and Hydrological Services and Disaster Risk
                 Management Organizations in SADC Member States
                  Country                  NMS                              NHS                            DRM
                                           National Institute for           National Institute for Water
                  Angola                                                                                   Angola DRM*
                                           Meteorology and Geophysics       Resources
                                                                            Hydrology/Surface Water
                                           Department of                                                   National Disaster
                  Botswana                                                  Division, Department of
                                           Meteorological Services                                         Management Office
                                                                            Water Affairs
                                                                                                           Direction Generale de
                                           Direction de la Météorologie
                                                                                                           la Protection Civile,
                                           (represented by L’Agence
                                                                            Limited activity or non-       represented by Centre
                  Comoros                  Nationale de l’Aviation Civile
                                                                            existent                       National de Documentation
                                           et de la Météorologie de
                                                                                                           et de Recherche
                                           l’Union des Comores
                                                                                                           Scientifique
                  Democratic               Agence Nationale de la Météorologie et de Télédétection         Direction Nationale de la
                  Republic of Congo        par satellite                                                   Protection Civile
                                           Eswatini Meteorological          Directorate Hydrology:      National Disaster
                  Eswatini
                                           Service                          Department of Water Affairs Management Authority
                                           Lesotho Meteorological                                          Disaster Management
                  Lesotho                                                   Department of Water Affairs
                                           Services                                                        Agency
                                                                                                           National Bureau for Disaster
                  Madagascar               Direction General de la Météorologie
                                                                                                           Risk Reduction*
                                           Department of Climate
                                                                            Department of Water            Department of Disaster
                  Malawi                   Change and Meteorological
                                                                            Resources                      Management Affairs
                                           Services
                                                                            Ministry of Energy & Public    National Disaster Risk
                                           Mauritius Meteorological
                  Mauritius                                                 Utilities (Water Resources     Reduction and Management
                                           Services
                                                                            Unit)                          Center
                                                                            Direcção Nacional de           Instituto Nacional de
                                           Instituto Nacional de
                  Mozambique                                                Gestão de Recursos             Gestão e Redução do Risco
                                           Meteorologia
                                                                            Hídricos                       de Desastres)
                                                                            National Hydrological
                                           Namibia Meteorological           Services of Namibia,           Directorate Disaster Risk
                  Namibia
                                           Service                          Ministry of Agriculture,       Management
                                                                            Water and Land Reform
                                           Seychelles Meteorological        Limited activity or            Department of Risk and
                  Seychelles
                                           Authority                        nonexistent                    Disaster Management*
                                                                            Directorate: Surface and
                                           South African Weather            Groundwater Information,       National Disaster
                  South Africa
                                           Service                          Department of Water and        Management Center
                                                                            Sanitation
                                                                            Ministry of Water -            Prime Minister’s Office
                                           Tanzania Meteorological
                  Tanzania                                                  Directorate Water              - Disaster Management
                                           Authority
                                                                            Resources                      Department
                                           Zambia Meteorological            Zambia Water Resources         Disaster Management and
                  Zambia
                                           Department                       Management Authority           Mitigation Unit
                                           Meteorological Services          Zimbabwe National Water        Department of Civil
                  Zimbabwe
                                           Department                       Authority                      Protection
                 * Organizations that did not participate in the study.



10	                                                                                                STATUS QUO AND PROPOSED ACTIONS
                                                                                              2 • STATUS OF HYDROMET SERVICES
                                                                                                            IN SOUTHERN AFRICA


                        The maturity scores for the NHSs and NMSs as per the described method, are presented in table 4 and
                        illustrated in figures 4 and 5.4 The scores indicate that regional NHSs are weaker than NMSs, consistent
                        with global trends. In general, NHSs are mandated and managed to a lesser extent than NMSs. The small
                        island states and Madagascar are historically weak in hydrological services but have relatively good
                        NMSs. Comoros and Seychelles rely scarcely on surface water for water supply; thus, surface water
                        hydrology of their NHS is not well developed. In DRC, hydrological services for navigation and electricity
                        are provided by, respectively, the Regies des Voies Fluviales (RVF) and the Société Nationale d’Electricité
                        (SNEL). METTELSAT provides meteorological and hydrological services, but its hydrological services are
                        not well developed, which is concerning from a disaster risk management perspective.

                        Table 4: Maturity of NMSs and NHSs in SADC member states
                                                                  NMS                                                   NHS

                                               Questions                                           Questions
                            Maturity score   answered (%)        Score              Level        answered (%)           Score             Level
                            Angola              78%               59%            Essential            68%               38%               Basic
                            Botswana            73%               50%            Essential            77%               23%               Basic
                            Comoros             47%               25%              Basic                           Not applicable
                            DRC                 47%               14%           Below Basic                        Not assessed
                            Eswatini            84%               42%            Essential            79%               23%               Basic
                            Lesotho             88%               45%            Essential            83%               47%             Essential
                            Madagascar          77%               62%               Full              42%                9%           Below Basic
                            Malawi              86%               57%            Essential            79%               36%               Basic
                            Mauritius           96%               67%               Full              64%               28%               Basic
                            Mozambique          50%               32%              Basic              60%               53%             Essential
                            Namibia             94%               43%            Essential            94%               42%             Essential
                            Seychelles          97%               63%               Full                           Not applicable
                            South Africa        99%               92%            Advanced             91%               75%               Full
                            Tanzania            92%               84%            Advanced             83%               38%               Basic
                            Zambia              91%               50%            Essential            72%               43%             Essential
                            Zimbabwe            95%               66%               Full              81%               42%             Essential
                        Note: Not all requirements for a WMO category have been met. NMS maturity score is for the combination of meteorological and
                        climatological services, while the NHS score is for hydrological services only.




                        4
                         	 Note: Maturity scores for NHSs in Comoros, Democratic Republic of Congo (DRC) and Seychelles were not analyzed
                           for lack of response to the survey.


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2 • STATUS OF HYDROMET SERVICES
IN SOUTHERN AFRICA


                 Figure 4: Map showing maturity of NMSs by SADC member state




                 Figure 5: Map showing maturity of NHSs by SADC member state




12	                                                                            STATUS QUO AND PROPOSED ACTIONS
                                                                                   2 • STATUS OF HYDROMET SERVICES
                                                                                                 IN SOUTHERN AFRICA


                        2.2.1 Enabling factors
                        The hydromet value chain only functions properly with sufficient enabling factors. Five such factors are:
                        institutional capacity, research & development, education & training, data and information dissemination,
                        and infrastructure. They help determine the feasibility and sustainability of investments.

                        In looking across the SADC region, mandates, strategic goals, business plans and capacity- building plans
                        are unclear or nonexistent. Mandates tend to be clearer for NMSs than for NHSs, which have fewer staff.
                        NMSs tend to assess their own institutional capacity more positively than NHSs, and all face considerable
                        challenges in attracting qualified and experienced personnel and resources for staff salaries.

                        The dissemination of data and information is weak. Most countries have challenges with Standard
                        Operating Procedures, such as the exchange of information between NMSs and NHSs. For DRM agencies,
                        serious challenges exist in terms of chosen medium, format type and interpretation of information
                        received from NMHSs. In general, NMHS websites have very limited functionality for disseminating
                        information.

                        Regional NMSs and NHSs face modernization challenges. In addition to limited financial and human
                        resources, the processes for accessing development financing are often complex and not well understood by
                        these technical agencies. NMHSs also do not always have the capacity to implement such large programs.

                        In terms of infrastructure, interrupted power supply, poor internet connectivity and/or equipment issues
                        pose substantial challenges and form a bottleneck for implementing region-wide or centralized solutions.
                        These factors also adversely affect communication links between field stations, central offices, and
                        service beneficiaries. In many instances, additional IT expertise and infrastructure will be required prior
                        to investment. Yet, NMHSs are resourceful and try to provide the maximum level of services within their
                        means and (where existent) mandates.

                        2.2.2 Observation and monitoring network
                        For most countries, a large proportion of weather, rainfall and river- and reservoir-gauging stations
                        are not operational, and the observation networks are limited (table 5). Most NMHSs are not able to
                        sustainably operate, maintain and calibrate the existing network due to lack of capacity (for example,
                        financial resources, spare parts, transport means or limited capable staff at regional offices). Keeping
                        observation stations functional and providing appropriate maintenance and repair is a challenge due to
                        vandalism, limited availability of spare parts and limited funding for salaries and infrastructure. While
                        current observation networks are not well maintained or are (for other reasons) not operational, most
                        NMSs and NHSs have high ambitions to increase the number of observation stations.

                        For most NMSs in the region, the frequency of upper air measurements is too low in most countries for
                        proper model initialization. Only four NMSs conduct daily upper-air measurements. About half of the
                        NMSs indicated that lightning detection systems need to be developed or improved. SAWS operates
                        a Vaisala-based lightning detection system consisting of 24 sensors and has apart from including it in
                        the information provided to forecasters also developed sector specific services in this regard. Such a
                        system would be easier to set up than radar, would partly improve the understanding of rainfall, assist
                        in the identification of convective storms and their evolution and would enable services to lightning
                        sensitive sectors. Regional cooperation is important, as the more stations are providing the distance to
                        lightning for a location assessment, the more accurate the location and intensity of thunderstorms can
                        be determined.



A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                   13
2 • STATUS OF HYDROMET SERVICES
IN SOUTHERN AFRICA


                 The use of weather radar is limited in the region, with only South Africa and Tanzania having radars
                 operational. Many countries have the ambition to deploy this technology. These systems are expensive to
                 acquire and maintain, require specialized mechanical, electrical and ICT skill and extensive supporting
                 infrastructure to ensure reliable power, communication and data processing. Despite being the primary
                 tool for Nowcasting and effective in real-time areal rainfall estimation, only SAWS has largely been
                 successful in operating and using a weather radar network of the past approximate 25 years.

                 Especially for NHSs, the state of hydrological stations is concerning. In most SADC countries, more than
                 30 percent of current flow gauges are not operational. While some may be reported as operational, their
                 rating curves need higher accuracy to derive the flows from the measured water levels.

                 Usage of satellite remote-sensing data products from different providers is common for NMSs. The
                 products from the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT)
                 are the most widely used, by 11 countries. Building capacity and ongoing training to optimize the use
                 of the vast range of applications available from satellites, such as EUMETSAT, is still important, in
                 particular because of the challenges with ground based observations networks. For NHSs, more than
                 half of the responding NHSs do not use satellite based remote sensing for droughts, and also more than
                 half not for flood monitoring. More in-country expertise is needed on remote sensing for hydrological
                 applications.




14	                                                                                    STATUS QUO AND PROPOSED ACTIONS
                                                                                                Table 5: Key characteristics of observations and monitoring for NMSs and NHSs in SADC Member States
                                                                                                                                                NMS                                                                                         NHS
                                                                                                                                                                                                                                               River       Reservoir
                                                                                                                      Self-assessed                                                                                                           gauging       gauging
                                                                                                                      qualification                                               Self-assessed          Gauging         Gauging stations   stations on   stations on
                                                                                                                            of            Weather       Rainfall                   qualification       stations in        in reservoirs/     telemetry     telemetry
                                                                                                 Observations and      observation        stations      stations      Use of      of observation          rivers               lakes          system        system        How often are rating
                                                                                                 Monitoring             network          (number)      (number)       radar          network            (number)            (number)            (%)           (%)          curves updated?

                                                                                                 Angola                 Essential         10-50          10-50          No         Unanswered            10-50                1-10            1-10%         1-10%              1-5 years

                                                                                                 Botswana                   Full          10-50          > 200          No          Essential            10-50               10-50            1-10%          0%             Once per year
                                                                                                 Comoros                Essential          1-10          10-50          No         Unanswered             None                None            None          None                 None
                                                                                                                                                         0/
                                                                                                 DRC                   Unanswered         10-50                         No         Unanswered              10             > 200 by RVF       Unknown      Unknown              Unknown
                                                                                                                                                       Unknown
                                                                                                 Eswatini               Essential         10-50          10-50          No         Unanswered            10-50                1-10           10-30%         1-10%
                                                                                                 Lesotho                Essential        50-200          10-50          No          Essential            10-50                  0            10-30%         1-10%       After every major flood

                                                                                                 Madagascar             Essential         10-50           1-10          No         Unanswered            10-50               10-50                0%         0%

                                                                                                 Malawi                     Full         50-200         50-200          No          Essential           50-200                1-10            1-10%          0%               5-10 years
                                                                                                 Mauritius                  Full          10-50         50-200         Yes             Basic             10-50                1-10            1-10%         1-10%
                                                                                                 Mozambique             Essential        50-200            0            No          Essential           50-200               10-50            1-10%         1-10%              1-5 years
                                                                                                 Namibia                Essential         10-50         50-200          No          Essential            > 200                  0            10-30%          0%
                                                                                                 Seychelles             Essential         10-50          10-50          No         Unanswered
                                                                                                                                                                                                                                                                        1-5 years planned, but
                                                                                                 South Africa              Full          50-200          > 200         Yes          Essential            > 200                > 200          30-50%        30-50%
                                                                                                                                                                                                                                                                          often less frequent
                                                                                                                                                                                                                                                                        Once per year and after
                                                                                                 Tanzania               Essential        50-200         50-200         Yes          Essential            > 200                1-10            1-10%          0%
                                                                                                                                                                                                                                                                          every major flood




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	
                                                                                                 Zambia                 Essential        50-200         50-200          No             Basic            50-200               50-200          10-30%        10-30%              1-5 years
                                                                                                 Zimbabwe               Essential        50-200         50-200          No             Basic             > 200               50-200           1-10%         1-10%       After every major flood
                                                                                                Note: Number of stations are range of stations that currently operational stations managed by the organization itself.




15
                                                                                                                                                                                                                                                                                                                IN SOUTHERN AFRICA
                                                                                                                                                                                                                                                                                                  2 • STATUS OF HYDROMET SERVICES
2 • STATUS OF HYDROMET SERVICES
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                 2.2.3 Data processing, analysis and modeling
                 Digitization

                 Almost all SADC NMHSs have a database management system for some form of basic data processing,
                 although some rely on spreadsheets. License fees and affordability are a challenge for commercial
                 software. At the same time, many countries have archives of historical data which are only available on
                 paper. Digitization of archived data is therefore important.

                 Transmission of data to WMO’s Global Telecommunication System

                 NMSs transmit minimal meteorological data to WMO’s Global Telecommunication System (GTS). Eight
                 countries transmit less than 50 percent, and Lesotho, Eswatini and Mauritius transmit less than 20
                 percent. Low transmission rates are caused by outdated software, but poor internet connectivity
                 and interrupted power supply also play a role. Increasing data transmission to WMO’s GTS improves
                 initialization and verification (or calibration) of numerical weather prediction and possibly even
                 hydrological models.

                 Modeling and forecasting capacity

                 The regional NMSs use forecasting outputs from global production centers, and 10 of the 16 NMSs have
                 a Limited Area Model (LAM). License fees, human capacity and IT infrastructure, however, limit the
                 use of the global production center services. All NMSs, except Zambia, use probabilistic forecasts from
                 ensemble prediction systems of regional or global centers, such as European Center for Medium-Range
                 Weather Forecasts (ECMWF) and National Oceanic and Atmospheric Administration (NOAA). Botswana,
                 Mozambique and Zambia use their own Water Research and Forecasting (WRF) model as a LAM, while
                 the SADC CSC also uses a WRF model. Dynamic or statistical downscaling could be an alternative for
                 using a LAM.

                 Only eight regional NMSs provide quantitative precipitation forecasts, which are important for
                 hydrological forecasts. Most NHSs focus on monitoring and observations to generate forecasts and
                 have very limited modeling and forecasting capacity. Six NHSs do not conduct hydrological modeling,
                 while 13 NHSs do not use any hydraulic models. Most available models are used for water resources
                 assessments, either as an input for water-use licensing or for assessing the feasibility of infrastructure.
                 Of these models and information services, many are not maintained on a continuous basis to provide
                 input to operational decisions, such as early warning. In practice, NHSs have challenges in obtaining
                 data and forecasts from their NMSs. Table 6 shows the key characteristics of data processing, analysis
                 and modeling for NMSs and NHSs, respectively.

                 Eight NHSs use Hydstra to manage their hydrological data since this was introduced in a SADC investment
                 programme; four use simple spreadsheets or different programs; and four did not provide information.
                 Eight NHSs do provide some services based on hydrological models, such as rainfall-runoff modeling for
                 strategic decision-making. Only the NHSs of Mozambique, Namibia and South Africa provide services
                 based on hydraulic modeling, as related to flood routing in certain river basins in their country.




16	                                                                                      STATUS QUO AND PROPOSED ACTIONS
                                                                                                Table 6: Key characteristics of data processing, analysis and modeling for NMSs in SADC member states


                                                                                                                                                                                    Upload to WMO
                                                                                                                                                                                                            Self-rated skill of forecasts per forecasting window
                                                                                                                                                     Quantitative                    system, % of
                                                                                                                What data storage system             precipitation     Ensemble        stations                     1–5         5 – 10                   Seasonal    Verification
                                                                                                 NMS            is used                      LAM       forecasts       forecasts                        < 1 days    days         days      > 10 days    prediction    capacity
                                                                                                 Angola         Not answered                 Yes          Yes            Yes           70-90%           Medium      High        High       Medium          Low           Yes
                                                                                                 Botswana       Not answered                 Yes          No             Yes               -             High      Medium        Low         Low         Medium          Yes
                                                                                                 Comoros        Excel and paper               No          Yes            Yes            < 20%           Medium     Medium        Low         Low         Medium          No
                                                                                                 DRC            Not answered                  No                         Yes               -            Medium      Low          Low         Low         Medium          No

                                                                                                 Eswatini       METCAP, excel and paper       No          Yes            Yes            < 20%            High      Medium        Low         Low         Medium          Yes

                                                                                                 Lesotho        CLIMSOFT and paper            No          No             Yes               -             High      Medium        Low         Low           High          No

                                                                                                 Madagascar     Not answered                 Yes          Yes            Yes           70-90%            High      Medium        Low         Low         Medium          Yes
                                                                                                 Malawi         CLIMSOFT                     Yes          No             Yes           50-70%           Medium     Medium      Medium        Low           Low           No
                                                                                                 Mauritius      Excel                         No          No             Yes               -             High      Medium        Low         Low         Medium          No
                                                                                                 Mozambique     Not answered                  No          Yes            Yes           20-50%            High      Medium        Low         Low         Medium          No

                                                                                                 Namibia        Unspecified and paper        Yes          Yes            Yes           20-50%            High      Medium        Low         Low           Low           Yes

                                                                                                 Seychelles     CLIMSOFT                     Yes          No             Yes           50-70%            High      Medium      Medium      Medium        Medium          No

                                                                                                 South Africa   Unspecified                  Yes          Yes            Yes            > 90%            High       High       Medium        Low         Medium          Yes

                                                                                                 Tanzania       CLIDATA                      Yes          No             Yes           20-50%            High       High       Medium      Medium        Medium          Yes

                                                                                                 Zambia         CLIMSOFT and CLICOM          Yes          Yes             No           20-50%            High      Medium        Low         Low         Medium          Yes

                                                                                                                                                                                                                                                                     Qualitative




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	
                                                                                                 Zimbabwe       CLIMSOFT                     Yes          No             Yes           70-90%            High       High       Medium        Low         Medium
                                                                                                                                                                                                                                                                       only




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                 2.2.4 Services including early warning
                 NMHSs provide hydromet services to various sectors and the general public, but very few have staff
                 dedicated to engaging with sectors or end-users. Impact-based forecasting is a known concept for most
                 NMHSs although countries interpret it differently. Countries use different methods for impact-based
                 forecasting and there is scant discussion among DRMs, NMSs and NHSs to develop it. In addition,
                 income streams from service provision are either limited or result mainly from meteorological services
                 for the aviation sector. Services to the aviation and agriculture sectors are common for the NMSs, but
                 the services for the agricultural sector are relatively basic despite it being an important sector for
                 all SADC member states. Many NMSs identified the insurance, energy, agriculture, aviation and water
                 management sectors as feasible for public-private engagements (PPE). NHSs often provide water
                 availability services as a minimum to water managers (11), agriculture (10), energy sector (10), mining
                 (8) and industry (7). Flood early warnings are mostly qualitative and based on observations. Although
                 five NHSs claim to flood forecast for some river basins, this is only confirmed for three NHSs (Shire
                 Basin in Malawi; Zambezi Basin in Mozambique; Orange-Senqu Basin in South Africa). Table 7 shows
                 the hazards for which each NMHS provides early warning.

                 Table 7: SADC National Meteorological and Hydrological Services for early warning by hazard type
                                  Flash/Fluvial flood




                                                                                                                       Tropical cyclones
                                                                                      Meteorological




                                                                                                                                                                                        Extreme Wind
                                                                                                       Hydro-logical




                                                                                                                                           Extreme Rain
                                                                      Coastal flood




                                                                                                                                                                                                              Storm surge
                                                                                                                                                                          Fire hazard
                                                        River flood




                                                                                      drought


                                                                                                       drought




                                                                                                                                                                  Frost




                                                                                                                                                                                                       Heat
                                                                                                                                                          Hail
                  NMS & NHS
                  Angola               x                  x             --                 x                x             --                  x            x       --       x              x           --       --
                  Botswana             x                  --            --                 x               --              x                  x            x       x        x              x            x       --
                  Comoros              x                  --            --                --               --              x                  x           --                --            --           --       x
                  DRC                  x                  x             --                 x               --             --                  x           --       --       --            --           --       --
                  Eswatini             x                  x             --                 x                x              x                  x            x       x        x              x            x       --
                  Lesotho              x                  x             --                 x                x              x                  x            x       x        --             x            x       --
                  Madagascar           x                  --            --                 x               --              x                  x            x       x         x             x            x        x
                  Malawi               x                   x            --                 x               --              x                  x            x       x        --             x            x       --
                  Mauritius            x                   x            --                 x                x              x                  x           --       --       --             x           --        x
                  Mozambique           x                   x            --                 x                x              x                  x            x       x         x             x           --       --
                  Namibia              x                   x            --                 x                x              x                  x           --       x        --             x            x       --
                  Seychelles           x                   x            --                 x               --              x                  x           --       --       --             x           --       --
                  South Africa         x                   x             x                 x                x              x                  x            x       x         x             x            x        x
                  Tanzania             x                  --            --                 x               --              x                  x           --       --       --             x           --       --
                  Zambia               x                   x            --                 x               --              x                  x           --       --       --             x            x       --
                  Zimbabwe             x                   x            --                 x                x              x                  x            x       x         x             x            x       --
                  TOTAL           16                    12               1               15                8           14                  16             9        9        7           14             9        4




18	                                                                                                                                                              STATUS QUO AND PROPOSED ACTIONS
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                                                                                                             IN SOUTHERN AFRICA


                        2.3 Status of regional services and organizations
                        All NMHSs in Southern Africa use information from regional centers, river basin organizations or national
                        organizations that have a WMO designated regional role. These organizations support the NMHSs with
                        operational hydromet services and/or with capacity building (table 8 and table 9).

                        Table 8: Overview of main SADC river basin organizations (RBOs) approached for this study
                         RBOs             Full name                                               SADC member states
                                          Commission Internationale du Bassin Congo-              Angola and DRC sharing with non-SADC
                         CICOS*
                                          Oubangui-Sangha                                         member states
                         LIMCOM           Limpopo River Basin Commission                          Botswana, Mozambique and Zimbabwe
                         OKACOM           Okavango River Basin Commission                         Angola, Botswana and Namibia
                         ORASECOM         Orange-Senqu River Basin Commission                     Botswana, Lesotho, Namibia and South Africa
                                                                                                  Angola, Botswana, Malawi, Mozambique,
                         ZAMCOM           Zambezi River Basin Commission
                                                                                                  Namibia, Tanzania, Zambia and Zimbabwe
                        Note: * CICOS did not participate in the SADC stocktaking as separately stocktaking of hydromet services was done for the
                        Economic Community of Central African States (ECCAS).

                        Table 9: Overview of SADC regional providers of hydromet services*
                         Designated role / organization Designation                                                         Host organization
                                                           Implementing agent for improved hydromet services
                                                           in SADC. Climate services for all SADC member states.
                         SADC CSC                                                                                           SADC Secretariat
                                                           Facilitator of Southern African Regional Climate
                                                           Outlook Forum (SARCOF)
                         ICPAC (IGAD Climate
                                                           CSC for Eastern Africa, including SADC Member State
                         Prediction and Applications                                                                        IGAD
                                                           Tanzania
                         Center)*
                                                           For long-range forecasts, coupled ocean-atmosphere
                         WMO Global Production
                                                           global seasonal prediction model, can be consulted by            SAWS
                         Centers (GPCs)
                                                           whole globe. .
                                                           For severe weather forecasts: serves as custodian of
                                                           the Southern African Regional Flash Flood Guidance
                                                                                                                            SAWS
                         WMO Regional Specialized          System (SARFFGS) for 9 countries and the Southern
                         Meteorological Center             Africa Severe Weather Forecasting Project
                         (RSMC)                                                                                             Tropical Cyclone Center,
                                                           For support on tropical cyclones                                 La Réunion Météo
                                                                                                                            France
                         WMO Regional                                                                                       SAWS; formerly also
                         Telecommunications Hub            For collection, distribution and real-time exchange of           Zambia Meteorological
                         (RTH) & WMO Global                meteorological data between WMO members or NMSs                  Department (ZMD) also
                         Information System Center         within the continent and in the other five continents            served as RTH but now
                         (GISC)                                                                                             is inactive
                         WMO Regional Training
                                                           For training and education, with additional
                         Center (RTC), including                                                                            SAWS
                                                           specialization in Satellite Meteorology (with VLab)
                         Virtual Laboratory (VLab)
                         WMO Integrated Global             For improvement and evolution of WMO global                      SAWS
                         Observing System Center           observing systems
                         (WIGOS)



A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                                       19
2 • STATUS OF HYDROMET SERVICES
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                  Designated role / organization Designation                                                 Host organization
                  WMO RTCs for Lusophone             For training and education for lusophone countries      National Institute
                  countries                                                                                  for Meteorology and
                                                                                                             Geophysics (Angola)
                                                                                                             (INAMET)
                  WMO RTCs for Francophone           For training and education for francophone countries    Ecole Nationale
                  countries                                                                                  d’Enseignement de
                                                                                                             l’Aéronautique et de la
                                                                                                             Météorologie (ENEAM)
                                                                                                             & Ecole Supérieure
                                                                                                             Polytechnique
                                                                                                             d’Antananarivo (ESPA)
                                                                                                             (Madagascar)*
                  WMO Regional Radiation             For international calibration of meteorological         National Agency of
                  Center                             radiation standards within the global network and for   Meteorology and
                                                     maintaining the standard instruments for this purpose   Teledetection by
                                                                                                             Satellite (METTELSAT)
                                                                                                             (DRC NMS)
                  Hydromet services for              For facilitation of Southwest Indian Ocean Climate      Indian Ocean
                  Southwest Indian Ocean             Forum and as initiator and implementing agent for       Commission (IOC)
                                                     projects that benefit hydromet services in the SADC
                                                     island states
                  WMO Regional                       For maintaining relevant calibration standards and      Botswana Department
                  Instrumentation Center             assisting members in calibrating their national         of Meteorological
                  (Inactive)                         meteorological and related environmental standards      Services*
                                                     and monitoring instruments
                 Note: * Organizations that were not interviewed for their regional role.




                 SADC CSC assists the region’s NMHSs both operationally and strategically. Twice a day it runs the WRF
                 model to create forecasts and it performs remote-sensing assessments. SADC CSC facilitates the seasonal
                 forecast discussions in South African Regional Climate Outlook Forum (SARCOF), provides advisories
                 to NMS directors on extreme weather systems that geographically cover at least two countries and
                 manages the regional NMHS investment programs. It is in the process of becoming a fully designated
                 WMO Climate Services Center and is extending its capacity to provide broader services. For 11 East
                 African countries, ICPAC is the WMO-accredited climate center. Within the SADC region, only Tanzania
                 benefits from the services of ICPAC. The Indian Ocean Commission (IOC) supports regional forecasting
                 and monitoring actions as a coordinator for the Southwest Indian Ocean countries.

                 Within the SADC region, the following institutions have received official designations by WMO:

                 ●	   As the WMO RSMC for Severe Weather Forecasts, RSMC Pretoria (that is, SAWS) provides severe
                      weather guidance to SADC countries as part of the WMO Severe Weather Forecasting Project. This
                      information is based on global and in-house models and the responsibility is formally included in
                      the National Forecasting Centre workflow. The information is accessible through a dedicated website
                      and the intention is to provide countries in the region with a heads-up of weather events in the short
                      and medium forecasting timescales. Flash flood early warning guidance, using the Southern Afri-
                      ca Regional Flash Flood Guidance System (SARFFGS) is provided to nine SADC member states, but
                      not yet to Angola, DRC, Tanzania, Madagascar or the island states. As this system is not mature nor


20	                                                                                               STATUS QUO AND PROPOSED ACTIONS
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                                                                                                   IN SOUTHERN AFRICA


                             well-established, RSMC Pretoria would like to extend the SARFFGS and resuscitate the annual training
                             sessions. The RSMC La Réunion for Tropical Cyclone Forecasts provides guidance information about all
                             tropical low systems for 13 SADC member states. The center’s mandate is to track systems in the Indian
                             Ocean, but the center also aims to continue tracking the system after landfall. Close coordination with
                             the RSMC at SAWS is therefore key in that regard. The RSMC in La Réunion is part of Météo France
                             and uses Global Circulation Models for seasonal forecasts as well as the Météo France LAM for more
                             short-term forecasts.
                        ●	   As a WMO Global Producing Centre for Long-Range Forecasts, one of twelve such centers in the world,
                             SAWS uses its own global numerical model, which involves coupling of both the atmosphere and ocean
                             components to form a fully interactive coupled modelling system, named the SAWS Coupled Model
                             (SCM), and it combines its output to that of the GFDL-SPEAR and COLA-RSMAS-CCSM4 systems (part of
                             the North American Multi-Model Ensemble System) to provide multi-model ensemble forecasts. SAWS
                             makes these seasonal forecasts available through its website, among others, in the form of a “Seasonal
                             Climate Watch”. It is unknown to what extent these forecasts are currently being used in the region but
                             these forecasts are provided as input the Southern Africa Regional Climate Outlook Forum.
                        ●	   The WMO-RTH and WMO-GISC can support the NMSs to increase data transmission of data to the
                             WMO’s GTS, but this is currently only happening to a limited extent. As mentioned, improving the
                             transmission is essential for better initialization and calibration of regional and global numerical
                             weather prediction models. Both WMO-RTH and WMO-GISC roles are fulfilled by SAWS. The Zambian
                             Meteorological Department also functioned as an RTH but is currently inactive.
                        ●	   WMO-WIGOS was launched in February 2021 and can become instrumental in combining NMS’ data
                             with data from other sources. It aims to collect metadata of different data sources than the NMSs have
                             which are relevant for climate (change) monitoring. This is another WMO role of SAWS.
                        ●	   From the WMO regional training center (RTC) in Pretoria there is much training in English, for almost
                             all skills needed with specific recognition by WMO and for the remote-sensing skills. Also, a number of
                             NMHSs staff have been trained in RTCs in other parts of Africa, and/or in another continent. The NMS
                             of Angola National Institute for Meteorology and Geophysics (INAMET) is also designated as WMO RTC
                             for lusophone countries but is currently not operational. Then there are additionally for francophone
                             countries two institutions in Madagascar that function as an RTC but their status of operation was not
                             confirmed during the study.
                        ●	   The NMS of Botswana is a designated WMO Regional Instrumentation Center but is not operational. The
                             NMS indicates it would like to resuscitate the role, likely with funding from the Botswana government.
                        ●	   The WMO Regional Radiation Center is in the DRC, but it has not been confirmed if it is operational.
                        Currently, RSMC Pretoria, RSMC La Réunion and SADC CSC all play a role in providing Member States
                        with short-term weather warnings. RSMC Pretoria provides short-term extreme weather forecasts and
                        flash flood guidance; RSMC La Réunion focuses on the tropical low systems above the sea; and SADC
                        CSC provides advisories based on their WRF modeling. SADC is convening harmonization meetings with
                        Directors of NMHSs and WMO Regional Institutions, but further harmonization needs to be initiated and
                        the mandates between these three organizations need to be clarified. There may be some duplication of
                        tasks that is not cost effective and which will not inform wise future investment decisions, but also there
                        is a risk that several uncoordinated sources of similar information may not be in the interest of society.
                        However, such harmonization needs further discussion, as there are also schools of thought that see the
                        roles differently and see the benefit of having different source of information.


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2 • STATUS OF HYDROMET SERVICES
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                 Most organizations with a regional role depend on cost recovery for regional services, either by WMO,
                 Member States and/or project funding. This makes such services very vulnerable to the end of such
                 funding sources.

                 Overview and Status of river basin organizations

                 RBOs provide limited operational services. Most of the RBO services pertain to water resources planning
                 and monitoring and to facilitating the data sharing between member states, while there are currently
                 limited operational services. The ZAMCOM has a data exchange system (Zambezi Water Resources
                 Information Systems (ZAMWIS)) but the data is not up to date. It also has an operational model for flow
                 forecasts at key locations. The ORASECOM set up a water information system to enable data exchange.
                 ZAMCOM, OKACOM, and ORASECOM are ahead of LIMCOM in terms of services and institutional set up.
                 Similar database management systems have been introduced in SADC to enhance data sharing within
                 the river basins.

                 Most RBOs have the ambition to develop hydrological forecasting systems to inform operational
                 decisions. However, the resource constraints of most Member States mean the RBOs depend on grants.
                 A hybrid system combining the efforts of RBOs and NHSs could be more cost efficient, as most NHSs
                 still have to set up modeling capacity. RBOs view that certain Member States, rather than themselves,
                 are better situated to provide certain functions given they are more advanced and have the capacity for
                 maintaining systems.

                 2.4 Status of private sector engagement and collaboration with universities
                 Private sector engagement was explored by analyzing survey results and studying the policies and
                 regulatory frameworks of different SADC countries. Additionally, three case studies of potential
                 PPE were explored by facilitating workshops between the private sector and NMSs on crop-specific
                 advice (Madagascar), weather-index-based crop insurance (Malawi) and lightning-detection services
                 (Eswatini).

                 Among NMHSs, the perceptions of existing relationships with the private sector vary. About 45 percent
                 of the respondents see the relationship as effective or see themselves as a major player. Most NMSs
                 are very positive about the feasibility of setting up PPEs with many segments of the private sector but
                 there is a lack of a unified approach to engage into these relationships that will result in mutual benefits
                 while at the same time favors the outcomes to society. The limited survey results of NHSs precludes
                 generalizations. For NMHSs alike, there is limited co-development of services with the private sector.

                 As for data policies, NMSs in several SADC countries have provisions in the respective meteorological
                 and water acts that articulate charging for data and services, or not. In several countries, the charges
                 must be published in the government gazette or require ministerial approval. For NHSs, the water acts
                 consulted do not stipulate if fees can be charged for information or stipulate of fees can be charged for
                 water use. These water use charges, however, are not solely dedicated to cost-recovery for hydrological
                 services. Charging for data and services can of course provide financial income for the organizations
                 selling the data, but can also limit the full value of this data on a national and regional level, if charges
                 are so high that they limit the use of the data.

                 Many SADC countries have public-private partnership acts or policies covering private sector
                 investments in infrastructure. The acts seem to be written for large water management and transport
                 infrastructure, but the procedures described may also be relevant for instances when the private sector
                 invests in monitoring or IT infrastructure.


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                        Apart from opportunities, NMHSs identified challenges in terms of mandates, infrastructure handover,
                        procurement, profit sharing, and regulatory frameworks. The correlation between policy and regulatory
                        framework and the current public-private engagement on the ground was not clear.

                        The case studies indicate that most NMSs had plans for PPEs but had not yet acted on them. The case
                        studies bear this out: NMSs have limited experience in engaging on potential business models and client-
                        centric service development. During the workshops, the private sector parties identified needs that NMSs
                        appeared to be able to readily fulfil but was not yet aware of.

                        2.5 Status of collaboration with universities
                        More than 40 universities are working on topics related to weather, climate, water and disaster risk
                        reduction. Most NMHSs already have existing relationships with universities, mainly in their own countries,
                        for research and development support and as alma maters of their employees. These relationships are in
                        general ‘occasionally beneficial’ - with a lack of communication being the main reason why challenges are
                        yet to be solved, rather than a lack of capacity at the universities. There is a large dispersion of expertise
                        in the region and only small research units exist at those universities. This makes it more difficult to
                        engage in stimulating a cooperative building of capacity and research profile.

                        Academic networks exist and have been in place for years. However, these networks do not cover all
                        SADC countries and hydromet services are only part of their scope:

                        ●	   Partners Enhancing Resilience for People Exposed to Risks (PeriPeriU) mainly focuses on disaster risk
                             management and only touches on hydromet services.
                        ●	   AUDA-NEPAD SANWATCE focuses on research for water, in general.
                        ●	   Applied Center for Climate and Earth System Science (ACCESS) is a South African consortium that
                             focuses on earth system sciences.
                        ●	   WaterNet targets has an official mandate by the SADC to build capacity in integrated water manage-
                             ment and is truly regional with many collaborating academic institutions. Within WaterNet, a hydro-
                             logical program is in place, for which the University of Dar es Salaam coordinates expert inputs from
                             various Southern African universities.
                        NMHSs, universities and research institutions have different cost-recovery models, inhibiting
                        opportunities for collaboration. To improve research and development for NMHS with the support of
                        universities, one must be aware that many academics focus on teaching rather than on research.

                        In the networks and in the region, as well as in cooperation with overseas universities and research
                        funds, the South African universities are relatively well represented. It is recommended to also involve
                        other SADC universities in networks for research and capacity building. These universities need support,
                        given their limited staff and financial capacities.

                        For NHSs, apart from training at the academic level, there is a clear additional need for vocational
                        training, which is not being addressed by the universities. For meteorology, the Regional Training Centers
                        offer vocational training. For NMSs to grow capacity in numerical weather prediction, it is recommended
                        to further build existing collaboration between NMSs and academic institutes around the SADC Cyber-
                        Infrastructure Framework.

                        Initiatives such as internships, bursary programs, research chairs funded by the NMHSs, involvement of
                        NMHSs staff in lecturing or co-supervision of students are not common in the region. More pilots in this
                        regard are recommended as there are positive experiences with these types of interventions.

A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                      23
                  Photos: 24,
                 January      2021—Cyclone
                          South            Elosie
                                African Weather   hits Limpopo, South Africa.
                                                Service




24	
STATUS QUO AND PROPOSED ACTIONS
                                                                              3 • GUIDANCE FOR STRENGTHENING
                                                                         HYDROMET AND EARLY WARNING SERVICES




                        T
                              he analysis in the previous chapters highlighted the strategic importance of hydromet and early
                              warning services for Southern Africa. The current service levels of the region’s NMHSs leave for
                              most countries substantial gaps to respond to the growing demand of adequate services based on
                        sound observations. At the global level, the WMO has launched the Systematic Observations Financing
                        Facility (SOFF) to support countries in generating and exchanging basic observational data based on
                        the Global Basic Observing Network (WMO 2020). In line with these global initiatives, guidance is
                        herewith provided for strengthening hydromet and early warning services in Southern Africa in a
                        programmatic approach. This chapter highlights the programmatic approach for modernizing hydromet
                        services in Southern Africa, defines objectives, outcomes and output and makes recommendations for
                        its implementations.

                        3.1 Proposed Objectives and Outcomes
                        The report formulates a comprehensive program addressing the modernization of hydromet services in
                        Southern Africa, ensuring programmatic support along the entire hydromet value chain from observations
                        to improving early warning services and reaching communities. Experience from previous programs
                        and projects shows that hydromet projects should address the entire hydromet value chain, be sizable
                        enough to have a transformative and sustainable impact and support the necessary institutional reforms.

                        Acknowledging the complexity of large projects and programs, the diversity of the SADC member states
                        in terms of modernization needs and recognizing different opportunities for financing of hydromet
                        services (from the perspective of governments, hydromet services, donors and the private sector), a
                        commonly agreed set of objectives and outcomes, a common framework for monitoring and evaluation
                        and a coherent approach and strategy on policies and regional collaboration have been formulated.

                        The goal of the proposed action plan is “to have NMHSs within the SADC region that are capable to (better)
                        provide impact-based early warning services on climate, weather and water hazards.”

                        The vision is that by 2030 (and, where possible already by 2025) in all SADC member states essential
                        early warning services can be provided and that service levels have improved with this regard. Regional
                        Centers have sustained and modernized their operation, providing adequate services to the countries,
                        communities and businesses in Southern Africa, and support member states in a cascading approach.

                        Based on the analysis in the stocktaking report, four outcomes were identified to achieve this goal. The
                        different outcomes and related intermediate actions and results/outputs are (figure 6):

                        A.	 Stronger institutional capacity of and collaboration between NMHSs and regional organizations
                        B.	 Observations and monitoring networks in the region are better equipped to support early warning
                            services
                        C.	 Improved lead time and accuracy of the hydromet forecast with emphasis on the key locations
                        D.	 Improved generation and dissemination of impact-based early warnings for specific user groups




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                  25
26	
                                  Figure 6: Goal, outcomes and outputs of investment framework to modernize hydromet services in the SADC region


                                                                                                        NMHSs are capable to (better) provide
                                                                                                       impact-based early warning services on
                                                                                                         climate, weather, and water hazards




                                           A. Stronger institutional                   B. Observations and monitoring                        C. Improved lead time and                       D. Improved generation and
                                         capacity of and collaboration                    networks in the region are                         accuracy of the hydromet                       dissemination of imapct-based
                                                                                                                                                                                                                                         AND EARLY WARNING SERVICES




                                         between NMHS and regional                     better equipped to support early                    forecast with emphasis at the                    early warnings for specific user
                                                 organizations                                 warning services                           key locations for early warning                               groups



                                             1. Cooperations and coordination             1. Calibrate, rehabilitate, upgrade, and              1. Establishment of upload routine to         1. Improved and effective impact-based
                                          between institutions with a regional role       automate existing monitoring stations                WMO GTS to improve initialization and          early warnings (interplay between NMS/
                                                                                                                                              calibration/verification of (international)              NHS/DRM/end-users)
                                                                                                                                                                                                                                         3 • GUIDANCE FOR STRENGTHENING HYDROMET




                                                                                                                                               Numerical Weather Prediction models

                                            2. Capacitation of institutions with a           2. Optimize design of multi-tiered
                                                        regional role                         hydromet monitoring networks
                                                                                                                                                    2. Streamline meteorological                  2. Effective and resilient warning
                                                                                                                                                 forecasting/warning routines using            dissemination systems (communication
                                          3. Financing of training and educational                                                            Global and Regional Models and satellite                        hardware)
                                           programmes to sustain qualified staff               3. Extension of (multi-tiered)                  remote sensing products (data access,
                                           and develop more attractive positions          observation networks (focus on stations                    software platforms training)
                                             for people already employed at the                     important for EWS)
                                                           NMHSs                                                                                                                                3. Establishment of Common Alerting
                                                                                                                                                                                                       Protocol (countrywide)
                                                                                                                                                 3. Development and systematic use
                                                                                               4. Strengthen operation and                      of free or affordable data, forecasting
                                          4. Strengthening of mandates, strategic
                                                                                            maintenance of monitoring stations                    models and web services (models
                                          goals and implementing capacity to be
                                                   more service-oriented                                                                                development, training)
                                                                                                                                                                                                 4. Improved understanding of the
                                                                                                                                                                                               hazards, exposure and vulnerability, to
                                                                                                                                                                                               know how impact-based early warning
                                          5. Investments in resilient infrastructure                                                                                                              can effectively inform mitigating
                                                                                                                                                4. Capacity in NHSs to perform (or at
                                             for power supply and internet of the                                                                                                                emergency management measures
                                                                                                                                              least interpret) river modeling, analysis
                                              NMHSs and up-to-date, sustainable                                                                       and forecasting systems)
                                                         IT-solutions

                                                                                                                                                                                                 5. Improved dissemination of agro-
                                               6. Considering the roles of all                                                                                                                        meteorological services
                                            stakeholders in the hydromet value
                                          chain, including other public bodies (e.g.
                                           healthcare, infrastructure), the private                                                  = Goal                                                     6. Improved means to provide flash
                                                     sector and academia                                                                                                                        flood early warnings to the general
                                                                                                                                     = Outcome                                                         public in major cities

                                                                                                                                     = Output




STATUS QUO AND PROPOSED ACTIONS
                                                                     3 • GUIDANCE FOR STRENGTHENING HYDROMET
                                                                                   AND EARLY WARNING SERVICES


                        3.1.1 Outcome A: Stronger institutional capacity of and collaboration between NMHSs and
                        regional organizations
                        All NMSs and NHSs in the region have capacity challenges and are relatively small organizations in
                        relation to the enormous tasks they need to fulfil. The WMO recommends a cascading process in which
                        global and regional organizations support NMHSs, but also bilateral cooperation could assist in obtaining
                        ‘economies of scale’ advantages.

                        In this outcome, strengthening regional collaboration would start with harmonizing the activities of
                        the regional organizations, notably SADC CSC, RSMC La Réunion and RSMC Pretoria. Activities should
                        lead to a harmonization of early warning messages, updating relevant protocols and harmonizing of
                        activities. In addition to improved coordination, SADC CSC, RSMCs and RTC and NMSs that have other
                        WMO designated roles need further support to implement their genuine activities and mandates. Those
                        activities include, for example, improving and rolling out to additional countries of the flash flood guidance
                        through RSMC Pretoria, training through RTC Pretoria RTC Angola and RTC Madagascar, assistance to
                        NMSs with uploading of weather information to GTS by the GISC and RTH, and calibration of instruments
                        by new or to be resuscitated calibration centres. Also, RBOs need to step up their role to support basin-
                        wide collaboration on flood modelling, forecasting and information dissemination. Stimulating regional
                        collaboration is an underlying but important reason to support the SARCOF process, pre- and post-season
                        meetings within river basins and joint education.

                        At the national level, NMHSs need support to strengthen their respective management structures. The
                        NMHSs will need to identify what changes in the mandates and in the organization are needed to become
                        more service oriented. In terms of infrastructure, NMHSs most importantly will need adequate support
                        to ensure power supply, internet access and back-up IT capacity.

                        To facilitate collaboration with academia, universities, and the private sector, the action plan proposes
                        regional funds to support capacity building, academic exchanges, and public-private collaboration. For
                        example, a regional program like a regional bursary program, as was once applied for the water sector,
                        could facilitate innovation by promoting private and academic sector collaboration with NMHSs and
                        promote collaboration among partners in the region.

                        3.1.2 Outcome B. Observations and monitoring networks in the region are better
                        equipped to support early warning services
                        Strengthening the observation network and closing critical observation gaps remains an important
                        outcome of any hydromet modernization effort in the region. Before investing in new stations, priority
                        should be given to the calibration, resuscitation, and automation of meteorological, climatological and
                        hydrological observation stations as a large portion of observation stations is not operational and/or not
                        recently calibrated despite the importance of these stations for any early warning system (EWS) and other
                        hydromet services. In particular, river gauging stations need updated rating curves. The current network
                        densities are not sufficient to effectively monitor the most relevant weather and climate phenomena.
                        Before additional stations are added to the observation network, it will be important to consider the
                        additional costs for operating and maintaining the observation network. Operation and maintenance
                        issues are common across all NMHSs and are often driven by a lack of staff, customized and missing
                        spare parts of equipment, lack of resources for field and frequent maintenance visits. It will therefore
                        be important to find a balanced approach between investments in additional observation stations (or
                        reinstalled stations) and the costs for operation and maintenance of the observation network. Actions for
                        maintaining current networks are therefore also included. Priority would be given to enable countries


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3 • GUIDANCE FOR STRENGTHENING HYDROMET
AND EARLY WARNING SERVICES


                to comply with the Global Basic Observation Network (GBON) requirements, whereas reaching WMO
                standards for NMSs may still take some time. As part of the observation network, countries may need
                to establish or extend their upper-air observation network and introduce a lighting detection network
                and make maximum use from the satellite data and products available through for example EUMETSAT.

                3.1.3 Outcome C. Improved lead time and accuracy of the hydromet forecast with
                emphasis on the key locations for Early Warning
                In this outcome, significant emphasis is placed on improving processes for the NMSs to transmit
                meteorological data globally through the WMO GTS, which is important for the initialization and
                verification of forecasting models, and on improving reception and interpretation of model forecasts from
                global and regional models. Furthermore, actions are included to assist in training and provision of data
                management and modeling solutions that are affordable to maintain for NMHSs. Most NHSs hardly make
                use of modelling for early warning purposes both for floods (hydrological and hydraulic) and droughts
                (hydrological), therefore special actions are included to strengthen them. NMHSs should be assisted to
                in the first place make optimal use of existing model output available and then to set up and implement
                hydrological and hydraulic models through different means, such as on-the-job training, establishing
                models with the support of consultants, and peer learning where required. The action plan also has
                training in interpretation and use of what is available from regional and global centres. It will also be
                important to strengthen the link between flash flood guidance and early warning at the regional level

                3.1.4 Outcome D. Improved generation and dissemination of impact-based early
                warnings for communities
                This outcome aims to reach end-users with timely, impact-based early warnings. Warnings for extreme
                weather are issued directly from the NMHSs to specific user groups. However, other warnings should be
                disseminated through DRM organizations and their networks in the country. This investment addresses
                the warnings as provided by the NMHSs to the user groups and to the DRM. Realistic and useful ways of
                impact-based forecasting need a thorough consultative process within the countries, as they depend on
                the hazards, the capacities of NMHSs and DRM organizations and the capacities of the targeted users
                to receive and interpret warnings and act on them. Actions are included to support such a process,
                engaging with the DRM organizations and representatives of the end-users of the early warnings. The
                infrastructure means of communication between NMS, NHS and DRM during disasters and Common
                Alerting Protocols are also strengthened. The outcome further addresses better organization of spatial
                information on hazards, exposure, and vulnerability in such a way that it can inform strategic, tactical
                and operational decisions before and during the occurrence of the hazards. This information will inform
                many earlier mentioned outputs. For farmers, regional development of warnings dissemination tools
                and national roll outs of such warning tools is included. This will contribute to optimization of farming
                and mitigate some of the impacts of mainly droughts but also other weather hazards. Although the
                SARFFGS is improved in Outcome A, additional budgets are reserved to develop more advanced flash
                flood guidance systems for metropolitan areas. Such advanced systems require an advanced level of
                hydromet services and are therefore given low priority for those NMHSs that are not yet at this level.

                3.2 Estimating needs for strengthening hydromet and early warning services
                The needs for strengthening weather, water, climate, and early warning services in Southern Africa
                are substantial. This estimation of needs and related costs focuses on those activities, which can be
                implemented in the next 5 to 10 years and supports actions that would strengthen the existing institutions


28	                                                                                    STATUS QUO AND PROPOSED ACTIONS
                                                                        3 • GUIDANCE FOR STRENGTHENING HYDROMET
                                                                                      AND EARLY WARNING SERVICES


                        within their mandate. Only those activities and actions that would directly lead to strengthened early
                        warning and impact-based forecasting and thus not the other relevant priorities of the NMHSs have
                        been considered. All actions would, to the extent possible, be supported by regional actors, institutions,
                        private-sector actors, and universities to strengthen further regional linkages and support the existing
                        institutions in the region with this regard. The estimation of costs is based on general unit costs, needs
                        expressed by the NMHSs, existing infrastructure, country size, relevance of hazards, expert judgement
                        and the maturity level of the NMHSs (see table 4). Where suitable, priority would be given for low-cost
                        technology (for example, in the observation network) and license free or affordable software applications.
                        Only very limited costs are included with regard to building, vehicles and related issues. Operational and
                        maintenance costs are included, apart from staff costs that have been expressed in numbers of staff
                        rather than in costs of salaries.

                        To strengthen hydromet services for effective early warning, it is estimated that approximately US$ 116
                        million at current price levels would be needed for all actions to be implemented over the next ten
                        years, excluding the budget for operational and maintenance costs. This cost estimate may increase
                        once other issues that NMHS would require to improve are included in the calculation. This already
                        requires large commitments from the Member States and other partners. Table 10 provides a general
                        overview of costs by proposed outcome. It is estimated that the costs would vary between US$ 3 million
                        and US$ 12 million between Member States depending on their specific needs. About US$ 8.3 million or
                        about 7 percent would be needed for regional actions. This would, for example, also include resources
                        for regional actions, such as a regional scholarship or bursary program. A detailed country assessment
                        would need to follow to draft a detailed country level investment plan, to review the assumptions made
                        for allocation of certain actions to certain NMHSs or organizations with a regional role. The 10 years of
                        operations and maintenance, includes additional training . This period of 10 years for the operational
                        costs was chosen because a longer period would have large technology developments and changing
                        needs of countries, which cannot yet be forecasted. Deliberately, country level needs are not highlighted
                        in this summary report due to the high uncertainty of the estimations.

                        Table 10: SADC region hydromet investment costs per outcome
                                                                        Gross Capital Investments and Actions
                                                                                   (in US$ million)
                         Outcome               Works            Goods            Consultancies          Training       Total
                         Outcome A               0               0.5                  3.0                 6.7           10.2
                         Outcome B              4.9              25.2                 8.1                 8.6          46.8
                         Outcome C               0               3.8                  9.7                18.7           32.2
                         Outcome D              2.6              2.6                 20.4                 1.6           27.1
                         Total                  7.5             32.1                 41.2                35.6          116.3



                        Hydromet services are an important public good function and, in most countries, supported by
                        the government or through public-private partnerships. The proposed investments and actions for
                        strengthening hydromet and early warning services require sufficient operation, maintenance, and
                        personnel. In addition, many of the existing staff in the National Hydromet Services are close to retirement
                        in the coming years, leaving a substantial gap of expertise in some of the countries. It is estimated that
                        to sustain and operate the proposed investments and actions about 277 staff would be required, which
                        would need to be ascertained if it is already available. In some countries it is well possible that some


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3 • GUIDANCE FOR STRENGTHENING HYDROMET
AND EARLY WARNING SERVICES


                of the current staff cannot fulfil certain tasks due to lack of investments or operational budget. By
                making clear per action which staff is needed to make the operation and maintenance sustainable,
                the expectation of investments of Member States is clearer. While financial and technical partners can
                support, to some extent, the training of forecasters, hydrologists and early warning specialists, the
                annual salaries would need to be taken up by the respective NMHSs and thus governments. Due to the
                large differences in salaries and different arrangements in the NMHS about recruiting and involving
                staff a country specific estimation of the staffing was not conducted. Back of the envelope estimations
                of staffing expenses over a period of 10 years would add up to US$ 90 million. Collaboration with the
                private sector or public-private collaboration as well as with universities and research institutes may
                present an opportunity to attract and sustain talent in the national hydromet community.

                The annual operation and maintenance budget in Table 11 is here estimated at about 8 percent of the
                investment costs for the hydromet observation, vehicles and ICT equipment.

                Table 11: SADC region hydromet investment costs per outcome by cost categories
                                                                               Operational costs
                                    Operation and maintenance for       Operation and maintenance for           Additional staff
                 Outcome                 1 year [US$ 1000]                   10 year [US$ 1000]                [number of staff*]
                 Outcome A                        607                                6,065                            18
                 Outcome B                       3,254                              32,542                            60
                 Outcome C                        1,932                             19,320                           154
                 Outcome D                       3,150                              31,500                            45
                 Total                           8,943                              89,427                           277

                Note: Cost per outcome = x $1,000 per year. * FTE, Full time employee (equivalent)



                At country level estimates of investments and actions range between US$ 3 million (for example for
                Comoros and Seychelles) and US$ 12.0 millions (for Tanzania) depending on the needs of the member
                states. While estimations were made at country level and then aggregated, it was agreed to not present
                country specific estimates due to the large number of country specific factors. It is furthermore important
                to note that the cost estimations do not include country specific costs, like import duties for goods to
                be imported or the possibility to source consultancy studies and support locally. Other costs such as the
                costs for the construction of buildings for NMHS, vehicles and other expenses are neither considered.
                As such the report the report provides an overview of the key issues to be financed.




30	                                                                                                  STATUS QUO AND PROPOSED ACTIONS
                                                                                                             TITULO Y TITULO



                        The importance of hydromet and early warning services for the economy and livelihoods in Southern
                        Africa is highlighted at the beginning of the report. In this chapter, the economic benefits from
                        strengthening hydromet and early warning services are identified, with specific attention to the benefits
                        from strengthening early warning information and to a lesser extent benefits to sectors such as agriculture,
                        transport and energy production. The socio-economic benefit analysis aims to quantify the benefits from
                        strengthening and modernizing hydromet services by conducting simulations on the potential benefit
                        and estimating key financial indicators (such as, benefit-cost ratio and net present value). Figure 7
                        summarizes the proposed framework for the economic analysis, linked to the main affected sectors and
                        some specific impacts.

                        Since hydrometeorological products and services are public goods, they are generally not marketed
                        in markets. Therefore, there is usually no direct information on their economic value. For this reason,
                        to determine the economic benefits generated by projects to improve hydrometeorological systems, it
                        is necessary to use specific approaches, such as benchmarking, and results transfer methods. In this
                        analysis, the benefits derived for the different economic sectors have been estimated through benefits
                        transfer methods. The analysis follows the general structure of the “Triple Dividend of Resilience”
                        framework.5 This framework suggests considering the following three resilience dividends when
                        estimating the benefits of a project:

                        ●	   First dividend: save lives and avoid damages and losses. That is, to what extent an improved system for
                             predicting extreme events and early warning reduces asset losses and prevents deaths.
                        ●	   Second dividend: unlocking economic potential. Greater awareness of risks and better predictions
                             can increase economic productivity, support long-term investments in productive assets and develop
                             opportunities
                        ●	   Third dividend: generate the development of co-benefits. Investing in hydrometeorology can serve
                             multiple purposes that go beyond reducing the impact of disasters. For example, improving the quality
                             and timeliness of predictions can produce co-benefits for a significant number of stakeholders, includ-
                             ing households.




                        5
                            	 Tanner et al. (2015).


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4 • BENEFITS OF INVESTING IN HYDROMET
AND EARLY WARNING SERVICES


                              Figure 7: Triple Dividend Resilience Framework adapted to SEB analysis of the action plan6


                         SEB                                Type of
                       analysis                             Benefits                                    Methods

                                         First Dividend: Direct benefits derived from the
                                         intervention, such as:
                         1st                                                                   Avoided damages accounting      Direct benefits
                                         1. Infrastructure damages                             (EMDAT, PDNAs data)             of action plan
                       Primary
                                         2. Economic losses
                       benefits
      Investment                         3. Insurance compensation
      on improved
      hydromet                           Second Dividend: Impacts on development,
      services (mod-                     such as:                                              Productivity reponse
                         1st
      ernization of                                                                            functions (FAOSTAT, WB)
                       Primary           1. Productivity increase
      Early Warning
                       benefits          2. Support long-term investments                      CGEM market impacts (GTAP
      Systems)
                                         3. Develop market opportunities                       database and model)             Indirect
                                                                                                                               perdurable
                                                                                               WTP for hydromet services       benefits
                         1st             Third Dividend: Co-benefits                           (country level surveys)
                       Primary           Adyacent effects on other sectors, such               Stakeholder perceptions
                       benefits          as household welfare, end-users relations             (benchmarking meetings)
      Actions Cost:                      improvement, etc.
      Implementa-
      tion budget,
      O&M costs,
      depretiation




                              4.1 Methodology for the socioeconomic analysis
                              Table 12 outlines the methods proposed to evaluate each of the aspects mentioned in the proposed potential
                              benefits to evaluate. A detailed description of the methods proposed can be found in Quiroga, 2018.7

                              Table 12: Methods and databases for the analysis of the quantitative benefits to improve hydromet
                              services in the SADC region
                                  Potential benefits      Indicators to analyse                  Proposed method                      Data
                                                          Analysis of frequency in the           Avoided losses                       EMDAT,
                                                          countries, average losses per                                               PDNAs
                                  Flood losses
                                                          affected people and loss reduction
                                                          ratio due to improvements in DRM
                                                          Drought impacts on crop                Cost-Loss model (improved drought    EMDAT, FAO
                                  Drought impacts
                                                          production                             early warnings)
                                  Improved economic       Change in production                   Impact functions (estimated          FAO, World
                                  productivity                                                   production response)                 Bank
                                  (agriculture, energy)
                                  Unblocked market        Change in GDP                          Computable general equilibrium       GTAP global
                                  benefits                                                       model                                database
                                                          Change in WTP                          Transfer knowledge (similar          Literature
                                  Household welfare
                                                                                                 regions)                             review


                              6
                                  	 Source: Elaboration based on Tanner et al. (2015).
                              7
                                  	 http://documents.worldbank.org/curated/en/842621563163324249/Socioeconomic-Analysis-of-the-Poten-
                                    tial-Benefits-of-Modernizing-Hydrometeorological-Services-in-the-Lao-People-s-Democratic-Republic.


32	                                                                                                               STATUS QUO AND PROPOSED ACTIONS
                                                                                                                                      4 • BENEFITS OF INVESTING IN HYDROMET
                                                                                                                                                AND EARLY WARNING SERVICES


                        The benefits of the proposed project have been estimated for each resilience dividend. The selection of
                        sector benefits is limited both by the availability of the data and by restrictions of confidence on the same.
                        Therefore, for this analysis, a “conservative”8 strategy has been taken, so that only the most obvious part of
                        the total benefits of the hydro-meteorological and climatic services have been considered. The total benefits
                        provided are estimated to be reasonably acceptable as a conservative figure compared to their true value.
                        In the analysis, the first dividend considers how predictions and improved early warning systems (EWS)
                        can reduce national losses, both in the face of drought hazards and floods, storms and extreme cold. The
                        second dividend includes how increased awareness of risks and a higher quality of predictions can increase
                        agricultural and energy productivity and the sector’s gross domestic product (GDP) through efficiency
                        gains and the impacts of drought and floods avoided (for example, by better understanding of the optimal
                        sowing or harvesting date or improved energy management). The third dividend includes co-benefits for
                        households through a study of Willingness to Pay (WTP) for improved EWS.

                        Different analysts, countries and agencies have different views on the correct discount rate to use for
                        the cost-benefit analysis. Zhuang et al. (2007) studied discount rates used for public projects around the
                        world and found rates from 2 to 15 percent, with lower rates more common in developed countries and
                        higher rates more common in developing countries. The World Bank provides discount rate guidance
                        in its Handbook on Economic Analysis of Investment Operations (Belli et al. 2001), noting that it has
                        traditionally applied discount rates in the 10 to 12 percent range. Other major multilateral development
                        banks also tend to use rates in this range (Zhuang et al. 2007). WMO (2015a) provides a more detailed
                        discussion of the choice of discount rates. In this analysis, a 12 percent rate of discount as an upper
                        bound and then conduct sensitivity analysis using a lower bound of 3 percent.

                        The benefits of any such project would presumably last much longer; therefore, a 25-year analysis period
                        was chosen to develop the aggregated estimates. With a higher discount rate (for example, 12 percent),
                        benefits more than a couple decades out have minimal present value. The maximum effectiveness rate
                        of the investments is not achieved in a linear trend, but a path of accumulating improvements has been
                        defined (up to 75 percent at the end of the period). Figure 8 shows the effective implementation rate used
                        in this study, based on a binomial cumulative function.

                                                                                                        Figure 8: Effective implementation rate considered in this study
                                                                                                 1.00
                                                                                                   1.00
                                                                                                                                 Potential   benefits     of improved
                                                    degree (binomial)




                                                                                                 0.90
                                                                                                  0.90                           Potential benefits of improved
                                                               rate




                                                                                                                                 hydromet services
                                                                                                                                 hydromet  services
                                                                                                 0.80
                                                                                                  0.80
                                                                        Effective implementation rate
                                       Efective implementation




                                                                                                 0.70
                                                                                                   0.70
                                                                                                                                             Estimated
                                                                                                                                            Estimated     benefits
                                                                                                                                                      benefits of  of
                                                                                                 0.60
                                                                                                  0.60
                                                                                                                                             improved
                                                                                                                                            improved     hydromet
                                                                                                                                                      hydromet
                                                                                                 0.50                                       services
                                                                                                  0.50                                      services
                                                                                                 0.40
                                    Implementation




                                                                                                  0.40

                                                                                                 0.30
                                                                                                  0.30

                                                                                                 0.20
                                                                                                   0.20

                                                                                                 0.10
                                                                                                   0.10                                                      Baseline
                                                                                                                                                               Baseline
                                                                                                 0.00
                                                                                                  0.00
                                                                                                              0    2    4    6    8    10    12    14   16   18   20   22   24
                                                                                                             0    2    4    6    8        year 14 16 18 20 22 24
                                                                                                                                      10 12
                        8
                            	 Kull, Mechler and Hochrainer (2013).                                                                          year

A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                                                                    33
4 • BENEFITS OF INVESTING IN HYDROMET
AND EARLY WARNING SERVICES


                 4.2 Estimation of Benefits from Hydromet and Early Warning Services
                 The results of this analysis show that the contribution of hydrological and meteorological information
                 to socio-economic development in Southern Africa is expected to be very high, particularly due to
                 the potential benefits for the increased productivity of the agriculture and energy sectors and their
                 contribution to GDP. Disasters related to water, especially floods, have played an important role in
                 evaluating the improvement of hydrological and meteorological information. This study has not
                 considered the numbers of deaths from an economic perspective, but only in terms of their social
                 impacts. As this report has avoided valuing life in economic terms, the estimates presented can be
                 considered conservative.

                 Using the 3 percent and 12 percent discount rates as lower and upper bounds, and with the estimated
                 annual benefits, ex ante SEB estimates were established for the EWS modernization in SADC. Table 13
                 shows the results from the baseline SEB calculations. The present value of benefits is between $1,299
                 and $4,151 million using a time horizon of 25 years and a 12 percent and 3 percent discount rate,
                 respectively.

                 Table 13: Present Value of SEB estimates for the SADC region
                                                        Benefit estimates (US$ millions)

                  Discount rate (%)                                 3.0%                   7.0%             12.0%
                                                           Present value of benefits
                  Flood improved response                           3,236.2                1,922.4          1,097.9
                  Drought improved management                       925.8                  549.9            314.1
                  GDP unblocked growth (agriculture and energy)     272.7                  162.0            92.5
                  WTP                                               143.51                 84.2             48.6
                  Present value of SEB                              4,578.2                2,719.6          1,553.2
                                                            Present value of costs
                  Present value of costs                            426.6                  330.7            253.4
                                                              Net present value
                  NPV                                               4,151.6                2,388.9          1,299.7


                 The report focusses only on hydromet services related to early warning. The estimation of socio-economic
                 benefits is thus also related only to the direct and indirect benefits of early warning services and not for
                 example on agrometeorology. It is however acknowledged that potentially the socio-economic benefits
                 would be higher, but also that substantially more would need to be done to effectively provide different
                 user communities with, such as farmers, with adequate early warning services. The socio-economic
                 benefit analysis highlights the potentially huge benefits, which can be achieved for different sectors of
                 the economy.

                 The action plan for modernizing early warning systems in the Southern Africa region seems to have a
                 huge potential for socioeconomic benefits in the countries of the region. Figure 9 shows the present
                 value of benefits and costs, and the NPV of the plan for a discount rate of 12 percent in the considered
                 range of 25 years. Personnel costs have been considered separately as sensitivity analysis. It can be
                 observed that the investment may produce substantial benefits.




34	                                                                                           STATUS QUO AND PROPOSED ACTIONS
                                                                                   4 • BENEFITS OF INVESTING IN HYDROMET
                                                                                             AND EARLY WARNING SERVICES


                          Figure 9: Net Present Value for the SADC region (actualized 25 years)

                                       2000

                                       1500
                                                                                       Discounted benefits (M€)
                                       1000
                        Millions USD



                                                                                       Discounted costs (M€)
                                        500
                                                                                       Discounted costs (M€)
                                                                                       (PC included)
                                          0
                                                                                       Net Present Value (M€)
                                        -500
                                                                                       Net Present Value (M€)
                                                                                       (PC included)
                                       -1000
                                               0 2 4 6 8 10 12 14 16 18 20 22 24
                                                           Year




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                         35
                 An anemometer measuring wind speed and direction. Photo: LasseLund




36	
STATUS QUO AND PROPOSED ACTIONS
                                                                                                       5 • CONCLUSIONS AND
                                                                                                         RECOMMENDATIONS




                       I
                           n recent years, many countries in Southern Africa have made substantial progress on the modernization
                           of their hydromet and early warning services. Now, some countries in Southern African are on a
                           critical junction to sustain these services and to improve their delivery for a meaningful impact to
                        communities and the economy. As such, the modernization of the region’s hydromet services is feasible
                        and an important contribution for the climate-smart and resilient development. This chapter summarizes
                        the main conclusions and provides some key recommendations for implementation of actions.

                        5.1 Conclusions on the status of Hydromet and Early Warning Services
                        The analysis of the status of the NMHSs paints a diverse picture of the status of the national weather,
                        climate, water and early warning services in the 16 SADC member states as well as in the relevant
                        regional organizations.

                        1.	 Four countries in the region have “full” NMSs and two have “advanced” NMSs. In general, NHSs are
                            substantially weaker than NMSs, with only one having a “full” NHS and none being “advanced”. In
                            general, the NMHSs focus on the technical aspects of observations and monitoring and data process-
                            ing, analysis, and modeling and less on the service orientation. The following key challenges were
                            observed:
                             ●	   For most countries, high percentages of meteorological and hydrological stations are not opera-
                                  tional, while the size of the observation networks is already limited and does not meet draft GBON
                                  standards. Usage of remote-sensing data products is common for NMSs, but not for NHSs.
                             ●	   While the NMSs use GPCs, the transmission of available data to the GTS is limited and therewith
                                  limits the calibration and initialization of the models from the GPCs. Most NMSs do not implement
                                  the cascading forecasting process to the extent of considering the option not to have their own
                                  LAM.
                             ●	   NHSs have, in most cases, no or very limited capacity for hydrological or hydraulic modeling to
                                  support operational decisions; thus, early warnings for floods and hydrological droughts are main-
                                  ly based on observations only.
                        2.	 Often the weaknesses of the NMHSs are in the enabling factors such as mandates, funding, capacity
                            building and dissemination of information. The availability of stable power supply and basic IT infra-
                            structure (for example, servers and improved internet connectivity) remain a challenge. NMHSs have
                            big challenges attracting and keeping qualified and experienced personnel.
                        3.	 Very few NMHSs provide services to climate-sensitive economic sectors, such as agriculture. While
                            general agrometeorological services are available in many countries, few NMHSs are currently pro-
                            viding services for specific agricultural producer groups.
                        4.	 Critical gaps remain for last-mile communication and coverage of the early warning systems in major
                            river basins and in urban areas. Instruments such as impact-based forecasting and adapted commu-
                            nication protocols have been tested in pilot projects; however, they are not yet widely rolled out.
                            The division of tasks between DRM agencies and NMHSs is clear, though not necessarily regulated
                            and lacks Standard Operating Procedures for data/information sharing. For DRM agencies, serious
                            challenges exist with the type of information received from the NMS and NHS, in terms of format and
                            way to access, as well as interpretation of data and lead times for floods.
                        5.	 Southern Africa benefits organizations with a regional role, including RSMC Pretoria, RSMC La
                            Réunion and SADC Climate Services Centre as well as various other WMO designated roles to na-


A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                    37
5 • CONCLUSIONS AND
RECOMMENDATIONS


                        tional organizations and a facilitating role of the IOC. There are River Basin Organizations, which
                        facilitate data sharing, but their role in operational services is currently limited. The funding of
                        these centers is precarious, depending largely on project-based funding.
                 6.	 As the socioeconomic benefit analysis highlighted, there are substantial benefits from investing in
                     hydromet and early warning services, notably with regard to reduced damages from droughts and
                     floods. Benefits from strengthening hydromet and early warning services, from the perspective of
                     reduced damages from floods and droughts, would be of a factor of US$7 to US$12 for every US$1
                     invested.

                 5.2 Recommendations for strengthening hydromet and early warning services in the
                 SADC region
                 From the analysis on the status of the hydromet services in the region and discussions with stakeholders
                 in the SADC region, notably the NMHSs, recommendations to strengthen and modernize hydromet
                 services include:

                 Strengthen policies, regional collaboration and data sharing

                 ●	   Any program for strengthening hydromet and early warning services in the region should be owned
                      and driven by the NMHSs and regional institutions in Southern Africa aimed at sustaining key weath-
                      er, water, climate and early warning services to the population. Going forward, the implementation
                      of actions needs to be driven by the SADC Member States with sound implementation plans and
                      coordinated actions at the regional level.
                 ●	   Any regional collaboration on hydromet services should be driven by the effective exchange of hy-
                      dromet data between Member States, with regional and technical organizations and in compliance
                      with global reporting requirements, such as the Global Basic Observation Network. The existing
                      collaboration between RSMC Pretoria, RSMC La Réunion, SADC CSC and river basin organizations
                      should be strengthened and roles and mandates clarified to ensure a real-time exchange of informa-
                      tion, effective use of tools such as the flash flood guidance systems and roll-out of regional climate
                      forecasts, notably supported by the continuation of the SARCOF. To ensure operation of the organiza-
                      tions with a regional role, attention should be given to strengthening the coordination among these
                      regional centers and support to Member States with the use and application of regional products.
                 ●	   The major river systems in Southern Africa are transboundary. Forecasting and managing river floods
                      should, thus, be considered in a transboundary context and involve the RBOs, in particular because
                      the modelling for early warning services is not very developed in most Member States of such RBOs.
                      Using, for example, common hydrological-hydraulic modeling approaches for flood forecasting, with
                      integration of data and information from up- and downstream parts of the basin, would support
                      integral monitoring and availability of data, information and products at the transboundary level.
                      However, it is acknowledged that for each river basin dependent also on the needs and capacities of
                      the Member States different approaches can be followed.

                 Invest in sustaining and modernizing the observation and ICT infrastructure, ensure operation and
                 maintenance, and leverage economies of scale in the region

                 ●	   Rightsizing hydromet investments is crucial. Capital investments in any part of hydromet systems,
                      especially observation networks, require a corresponding increase in operation and maintenance
                      budgets. The focus should be on upgrading and operationalizing the existing network instead of mere
                      enlarging. The modernization of a hydromet and civil protection system is feasible only when gov-


38	                                                                                       STATUS QUO AND PROPOSED ACTIONS
                                                                                                          5 • CONCLUSIONS AND
                                                                                                            RECOMMENDATIONS


                             ernments ensure operation and maintenance of the services, including annual resources for field mon-
                             itoring and station repairs as well as inhouse services. The reports highlights this clearly: To sustain
                             investments in hydromet and early services about 277 additional people would need to be recruited
                             and operation, maintenance and staffing costs to be estimated at US$ 89.6 million over 10 years.
                        ●	   Observation infrastructure and high-performance computing facilities are capital intensive, with high
                             costs for engineering, operation and maintenance. They are, thus, mostly out of reach for many SADC
                             countries. Southern Africa has already successfully demonstrated collaboration is possible through for
                             example the Southern Africa Severe Weather Forecasting Project, through investment programs initi-
                             ated and coordinated by SADC CSC and the Indian Ocean Commission,. Building upon such regional
                             initiatives, SADC Member States can leverage economies of scale to develop infrastructure, continue to
                             promote cascading approaches for forecasting, and establish, promote, institutional, where possible,
                             twinning arrangements between countries to overcome challenges.

                        Focus on impact and cultivate a hydromet service culture

                        ●	   ‘Science for service’ and putting the needs of women, vulnerable groups and other users of hydromet
                             services and early warning systems in the center of the service development will be a critical success
                             factor for any program supporting hydromet and early warning services in the region. So far, only a few
                             NMHSs have actively collaborated with users to jointly develop products and services and to provide
                             impact-based forecasting based on the needs of these users. In this regard, NMHSs are called to step
                             up efforts to actively collaborate with user groups and vulnerable communities and ensure that women
                             are actively involved.
                        ●	   The coverage of early warning systems for floods, droughts and extreme weather events is still scat-
                             tered in large parts of Southern Africa and in many cases lacks effective communication with the
                             affected communities. Investing in early warning systems for urban areas (mostly for flash flood) and
                             riverine floods will be important to deliver on avoiding flood losses.
                        ●	   For droughts, hydrological forecasts on water provision to urban areas and economic sectors and the
                             environment, as well as early warning based on meteorological and hydrological forecasts to provide
                             food security, will be important.

                        Ensuring sustainability of the investment outcomes

                        ●	   The private sector and universities can play an important role to complement NMHSs in the provision
                             of specific services. About 40 universities exist in Southern Africa that provide programs and research
                             related to weather, climate, water, early warning, and disaster risk management. As such, Southern Africa
                             is uniquely positioned to facilitate much of the required training within the region. With regard to private
                             sector collaboration, most NMHSs are positive about collaboration but have, so far, little experience in
                             setting up and managing such collaborations. More engagement with private sector parties is needed to
                             understand their needs and become more end-user focused. For the NMHSs to further develop PPEs, it
                             is important to also have internal discussions on how relationships with the private sector are seen now,
                             what would be the purpose of PPE (revenue generation, cost savings and/or better services) and which
                             sectors to prioritize. Such a discussion will need to reflect on the policy and regulatory framework, the
                             capacity of the NMHS to develop services themselves, the need for additional/improved services and the
                             willingness of the private sector and the NMHSs to invest in setting up such a PPE.
                        ●	   There need to be clear institutional roles, mandates and protocols for the organization and operation of
                             hydromet and early warning services. Technical activities, like meteorological and hydrological obser-


A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                         39
5 • CONCLUSIONS AND
RECOMMENDATIONS


                      vation and monitoring, meteorological forecasting, hydrological and hydraulic modeling to support
                      forecasting and bathymetric surveys, should be done under the guidance of the institution with the
                      appropriate mandate and technical authority. These institutions should contribute in a cooperative
                      and organized way to develop and implement flood early warning systems and to establish warning
                      systems for different hydroclimatic hazards.

                 5.3 Recommendations for Implementation
                 Drawing from the analysis of the status of weather, climate, water and early warning services in the
                 region a set of proposed outcomes and related actions for strengthening hydromet services has been
                 formulated. Building upon the existing strong regional institutions the following recommendations are
                 proposed for the implementation of those actions:

                 ●	   Strengthening hydromet services in Southern Africa requires substantial investments and concerted
                      efforts from governments, development partners and the private sector. The estimations only for
                      priority actions for strengthening hydromet services and actions related to early warning estimate
                      needs of US$ 116 million. In addition, commitments from governments on operation and mainte-
                      nance, staffing and training are prerequisite for making the envisioned outcomes of such investment
                      sustainable. These costs can be substantial and are estimated over a period of 10 years at US$ 89.4
                      million for operation and maintenance and about US$ 90 million for staffing. This calls for maximiz-
                      ing finance, including grants, loans and public-private partnerships, and ensuring that the recovery
                      from the COVID-19 pandemic enables the adequate provision of hydromet services to vulnerable
                      communities. A phased approach, allowing an incremental increase in capacity of NMHSs, may need-
                      ed to be realistic and provide a durable way forward.
                 ●	   Regional cooperation between the various role players in the hydromet value chain, of which the
                      NMHSs and disaster management structures are central, is a key success driver for improving hy-
                      dromet services and EWS in the region.
                 ●	   Differences in climate, organizational structure, existing hydromet value chain, potential partner-
                      ships with the private sector and available financial and human resources all need to be considered
                      for a detailed design of country-level investments and actions.
                 ●	   The modernization of hydromet and early warning services in Southern Africa should complement
                      and leverage ongoing initiatives, such as the Global Framework for Climate Services, Climate Risks
                      and Early Warning Services (CREWS), WMO’s SOFF and specific projects targeted towards hydromet
                      modernization, such as the one Indian Ocean Commission. Notably, the SOFF would be an important
                      program, as it aims to provide finance for bringing observation networks to GBON standards which
                      are prepared for running global weather forecasting models. Table 14 provides an overview of ongo-
                      ing initiatives in Southern Africa, which support hydromet services in the region.
                 ●	   A program for modernizing hydromet and early warning services in Southern Africa should be the
                      joint effort of national governments, private sector and development partners and be part of the glob-
                      al programmatic structure, such as GBON. As a next step, the report should be taken forward through
                      the Hydromet Alliance, which is a joint partnership of WMO, other UN organisations and multilateral
                      development Banks, including World Bank. Individual country assessments, with operation, mainte-
                      nance and staffing plans would need to follow to operationalize the recommendations of the report.




40	                                                                                       STATUS QUO AND PROPOSED ACTIONS
                                                                                                          5 • CONCLUSIONS AND
                                                                                                            RECOMMENDATIONS


                        Table 14: Programs and initiatives to improve regional hydromet services in Southern Africa
                         Acronym           Full name/explanation                         Countries
                         Africa            Partnership of development organizations,     DRC, Mozambique, Tanzania
                         Hydromet          implemented by World Bank and GFDRR
                         Initiative
                         IOC               Hydromet Program of the Indian Ocean          Comoros, Madagascar, Mauritius, Seychelles
                                           Commission supported by GCF, AfD, EU and
                                           other partners
                         CREWS             Climate Risk Early Warning Systems            Comoros, DRC, Madagascar, Mauritius,
                                                                                         Mozambique, Seychelles
                         FEWSNET           Food Early Warning System-Net                 Countries with food early warnings based on
                                                                                         climate forecasts: DRC, Madagascar, Malawi,
                                                                                         Mozambique, Zimbabwe
                         IHP-EWS           International Hydrological Program of         Focus countries: Botswana, Mozambique,
                                           UNESCO – EWS development support for          South Africa, Zimbabwe
                                           Limpopo basin
                         CIRDA             Climate Information for Resilient             Active in all 16 SADC countries.
                                           Development and Adaptation (United Nations
                                           Development Program – UNDP)
                         CLIMSA            Intra-African Caribbean and Pacific Climate   SADC CSC is coordinating case studies which
                                           Services and Related Applications Program     will be set up in different countries.
                         ClimDev-Africa CDSF is the investment arm of the ClimDev-       CDSF implemented the Satellite and Weather
                         Special Fund   Africa program that is jointly implemented       Information for Disaster Resilience in Africa
                         (CDSF)         by the African Union Commission (AUC), the       (SAWIDRA) program that was implemented in
                                        African Development Bank and the United          Southern Africa via the SADC CSC.
                                        Nations Economic Commission for Africa
                                        (UNECA).
                         WISER             Weather and Climate Information Services for Tanzania (active in East and West Africa but
                                           Africa (https://www.metoffice.gov.uk/wiser)  with intention of developing services for the
                                                                                        whole of Africa)
                         SASSCAL           Southern African Science Service Center       Countries with observation stations: Angola,
                                           for Climate Change and Adaptive Land          Botswana, Namibia, South Africa, Zambia
                                           Management
                         TAHMO             Trans-African Hydro-Meteorological            Countries with observation stations: DRC,
                                           Observatory                                   Lesotho, Madagascar, Malawi, Mozambique,
                                                                                         South Africa, Tanzania, Zambia, Zimbabwe.

                        ●	   Regional investment programs for strengthening hydromet and early warning services in the region
                             should be considered as a framework and open platform for governments, development partners and
                             the private sector to support hydromet services in a coherent program, facilitating an incremental in-
                             crease to modernize hydromet and early warning services. Enhanced coordination among regional and
                             national partners should be the point of departure.
                        ●	   Many of the proposed actions are interconnected; thus, it would be important to implement the ac-
                             tions in a coordinated and coherent manner. Coordination among partners would be essential and any
                             regional investment program would not be successful as the effort of a single partner or organization
                             with a large project management structure.




A REGIONAL ANALYSIS OF WEATHER, CLIMATE, WATER AND EARLY WARNING SERVICES IN SOUTHERN AFRICA	                                            41
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