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...
| Autores principales: | , , , , , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/137576 |
| _version_ | 1855515093562818560 |
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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. |
| format | Brief |
| id | CGSpace137576 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| 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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