On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel
This report summarizes the activities and outcomes of the 2025 on-the-job training on the New Generation of Seasonal Hydrological Forecasts for West Africa and the Sahel, conducted at AGRHYMET from October 7 to November 4, 2025. The extensive workshop strengthened the capacity of hydrology experts,...
| Autores principales: | , , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Acceso en línea: | https://hdl.handle.net/10568/179556 |
| _version_ | 1855542039737794560 |
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| author | Kiema, Arsene Mohamed, Hamatan Tanimoune, Laouali I Houngnibo, Mandela C M Assoumana, Boubacar Toukal Segnon, Alcade Christel Ali, Abdou Zougmore, Robert Bellarmin |
| author_browse | Ali, Abdou Assoumana, Boubacar Toukal Houngnibo, Mandela C M Kiema, Arsene Mohamed, Hamatan Segnon, Alcade Christel Tanimoune, Laouali I Zougmore, Robert Bellarmin |
| author_facet | Kiema, Arsene Mohamed, Hamatan Tanimoune, Laouali I Houngnibo, Mandela C M Assoumana, Boubacar Toukal Segnon, Alcade Christel Ali, Abdou Zougmore, Robert Bellarmin |
| author_sort | Kiema, Arsene |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This report summarizes the activities and outcomes of the 2025 on-the-job training on the New Generation of Seasonal Hydrological Forecasts for West Africa and the Sahel, conducted at AGRHYMET from October 7 to November 4, 2025. The extensive workshop strengthened the capacity of hydrology experts, enabled 41 hydrology professionals, including 16 women, from 17 West African and Sahelian countries to produce objective, data-driven, and reproducible seasonal hydrological forecasts using R tools and Machine Learning models. Over four weeks, participants progressed from basic hydrological scripting in R to executing ensemble forecasts incorporating statistical and machine-learning models, supplemented by the Python CPT framework. The sessions emphasized complete pipeline thinking, from raw data preparation to model interpretation, thereby advancing AGRHYMET’s regional mandate to standardize operational hydrological prediction in line with WMO Decision 9 (EC-72). The outcomes show a tangible strengthening of institutional capacity, enabling countries to build reproducible, transparent hydrological forecasting workflows and support the long-term operational hydrological prediction capabilities of National Hydrological Services. |
| format | Informe técnico |
| id | CGSpace179556 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1795562026-01-09T02:16:16Z On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel Kiema, Arsene Mohamed, Hamatan Tanimoune, Laouali I Houngnibo, Mandela C M Assoumana, Boubacar Toukal Segnon, Alcade Christel Ali, Abdou Zougmore, Robert Bellarmin climate change adaptation resilience west africa hydrological modelling climate services-climate information services sahel forecasting This report summarizes the activities and outcomes of the 2025 on-the-job training on the New Generation of Seasonal Hydrological Forecasts for West Africa and the Sahel, conducted at AGRHYMET from October 7 to November 4, 2025. The extensive workshop strengthened the capacity of hydrology experts, enabled 41 hydrology professionals, including 16 women, from 17 West African and Sahelian countries to produce objective, data-driven, and reproducible seasonal hydrological forecasts using R tools and Machine Learning models. Over four weeks, participants progressed from basic hydrological scripting in R to executing ensemble forecasts incorporating statistical and machine-learning models, supplemented by the Python CPT framework. The sessions emphasized complete pipeline thinking, from raw data preparation to model interpretation, thereby advancing AGRHYMET’s regional mandate to standardize operational hydrological prediction in line with WMO Decision 9 (EC-72). The outcomes show a tangible strengthening of institutional capacity, enabling countries to build reproducible, transparent hydrological forecasting workflows and support the long-term operational hydrological prediction capabilities of National Hydrological Services. 2025-11 2026-01-08T21:51:26Z 2026-01-08T21:51:26Z Report https://hdl.handle.net/10568/179556 en Open Access application/pdf Kiema, A., Mohamed, H., Tanimoune, I. L., Houngnibo, M. C. M., Assoumana, B. T., Segnon, A. C., Ali, A., & Zougmoré, R. B. 2025. On-the-job training on the new generation of seasonal hydrological forecasts in West Africa and the Sahel. AICCRA Report. Centro Internacional de Agricultura Tropical (CIAT). Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | climate change adaptation resilience west africa hydrological modelling climate services-climate information services sahel forecasting Kiema, Arsene Mohamed, Hamatan Tanimoune, Laouali I Houngnibo, Mandela C M Assoumana, Boubacar Toukal Segnon, Alcade Christel Ali, Abdou Zougmore, Robert Bellarmin On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel |
| title | On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel |
| title_full | On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel |
| title_fullStr | On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel |
| title_full_unstemmed | On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel |
| title_short | On-the-Job Training on the New Generation of Seasonal Hydrological Forecasts in West Africa and the Sahel |
| title_sort | on the job training on the new generation of seasonal hydrological forecasts in west africa and the sahel |
| topic | climate change adaptation resilience west africa hydrological modelling climate services-climate information services sahel forecasting |
| url | https://hdl.handle.net/10568/179556 |
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