NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting

A key challenge frequently mentioned by NMHSs limiting the operationalization the NextGen approach to seasonal climate forecasting systems, especially the use the PyCPT tool was the lack of consideration of hydrologic parameters. To address this challenge. AGRHYMET has adapted the PyCPT tool for sea...

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Autores principales: Minoungou, Bernard, Ali, Abdou, Houngnibo, Mandela C., Mohamed, Hamatan, Agossou, Gadedjisso-Tossou, Segnon, Alcade C., Zougmoré, Robert B.
Formato: Brief
Lenguaje:Inglés
Publicado: Accelerating Impacts of CGIAR Climate Research for Africa 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/137576
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author Minoungou, Bernard
Ali, Abdou
Houngnibo, Mandela C.
Mohamed, Hamatan
Agossou, Gadedjisso-Tossou
Segnon, Alcade C.
Zougmoré, Robert B.
author_browse Agossou, Gadedjisso-Tossou
Ali, Abdou
Houngnibo, Mandela C.
Minoungou, Bernard
Mohamed, Hamatan
Segnon, Alcade C.
Zougmoré, Robert B.
author_facet Minoungou, Bernard
Ali, Abdou
Houngnibo, Mandela C.
Mohamed, Hamatan
Agossou, Gadedjisso-Tossou
Segnon, Alcade C.
Zougmoré, Robert B.
author_sort Minoungou, Bernard
collection Repository of Agricultural Research Outputs (CGSpace)
description A key challenge frequently mentioned by NMHSs limiting the operationalization the NextGen approach to seasonal climate forecasting systems, especially the use the PyCPT tool was the lack of consideration of hydrologic parameters. To address this challenge. AGRHYMET has adapted the PyCPT tool for seasonal hydrological forecasting. The adapted version of PyCPT has been illustrated and tested for seasonal hydrological forecasting for the 2023 rainy season, with satisfactory results. Future development needs to integrate additional features such as multi-model ensemble and flexible forecasts.
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publisherStr Accelerating Impacts of CGIAR Climate Research for Africa
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spelling CGSpace1375762025-12-08T09:54:28Z NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting Minoungou, Bernard Ali, Abdou Houngnibo, Mandela C. Mohamed, Hamatan Agossou, Gadedjisso-Tossou Segnon, Alcade C. Zougmoré, Robert B. forecasting hydrology seasons agriculture A key challenge frequently mentioned by NMHSs limiting the operationalization the NextGen approach to seasonal climate forecasting systems, especially the use the PyCPT tool was the lack of consideration of hydrologic parameters. To address this challenge. AGRHYMET has adapted the PyCPT tool for seasonal hydrological forecasting. The adapted version of PyCPT has been illustrated and tested for seasonal hydrological forecasting for the 2023 rainy season, with satisfactory results. Future development needs to integrate additional features such as multi-model ensemble and flexible forecasts. 2023-12-07 2024-01-11T13:22:31Z 2024-01-11T13:22:31Z Brief https://hdl.handle.net/10568/137576 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Minoungou B, Ali A, Houngnibo M, Hamatan M, Gadedjisso-Tossou A, Segnon AC, Zougmoré RB. 2023. NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting. AICCRA Info Note. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).
spellingShingle forecasting
hydrology
seasons
agriculture
Minoungou, Bernard
Ali, Abdou
Houngnibo, Mandela C.
Mohamed, Hamatan
Agossou, Gadedjisso-Tossou
Segnon, Alcade C.
Zougmoré, Robert B.
NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting
title NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting
title_full NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting
title_fullStr NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting
title_full_unstemmed NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting
title_short NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting
title_sort nextgen approach to hydrological forecasting adapting pycpt tool for hydrological forecasting
topic forecasting
hydrology
seasons
agriculture
url https://hdl.handle.net/10568/137576
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