Integration of Artificial Intelligence in Seasonal to Sub‑Seasonal Forecasting Systems in West Africa and the Sahel
| cg.contributor.affiliation | Agrhymet Regional Centre | en_US |
| cg.contributor.donor | World Bank | en_US |
| cg.coverage.region | Western Africa | en_US |
| cg.creator.identifier | Alcade C. Segnon: 0000-0001-9751-120X | en_US |
| cg.creator.identifier | Robert Zougmore: 0000-0002-6215-4852 | en_US |
| cg.reviewStatus | Internal Review | en_US |
| cg.subject.actionArea | Systems Transformation | en_US |
| cg.subject.alliancebiovciat | CLIMATE CHANGE | en_US |
| cg.subject.alliancebiovciat | CLIMATE CHANGE ADAPTATION | en_US |
| cg.subject.impactArea | Climate adaptation and mitigation | en_US |
| cg.subject.sdg | SDG 13 - Climate action | en_US |
| dc.contributor.author | Houngnibo, Mandela C. | en_US |
| dc.contributor.author | Ali, Abdou | en_US |
| dc.contributor.author | Assoumana, Boubacar Toukal | en_US |
| dc.contributor.author | Minoungou, Bernard | en_US |
| dc.contributor.author | Segnon, Alcade Christel | en_US |
| dc.contributor.author | Zougmore, Robert Bellarmin | en_US |
| dc.date.accessioned | 2025-02-11T22:13:29Z | |
| dc.date.available | 2025-02-11T22:13:29Z | |
| dc.identifier.uri | https://hdl.handle.net/10568/172966 | |
| dc.title | Integration of Artificial Intelligence in Seasonal to Sub‑Seasonal Forecasting Systems in West Africa and the Sahel | en_US |
| dcterms.abstract | This Info Note describes AGRHYMET's efforts to integrate Artificial Intelligence into seasonal and sub-seasonal forecasting systems. It discusses how AI can contribute to improve the accuracy and reliability of forecasts, and the outcomes of the Regional Climate Outlook Forum (RCOF). The report also highlights the different initiatives by AGRHYMET to integrate AI in forecasting systems and articulates AICCRA contributions. By integrating AI into its operations, AGRHYMET aims to address the unique challenges of forecasting in West Africa and the Sahel, regions characterized by complex and highly variable climatic conditions in addition to a poor ground-based data availability. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | Houngnibo M. Ali A. Assoumana B. Minoungou B. Segnon A. Zougmore R. 2024. Integration of Artificial Intelligence in Seasonal to Sub‑Seasonal Forecasting Systems in West Africa and the Sahel. AICCRA InfoNote. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). | en_US |
| dcterms.extent | 8 p. | en_US |
| dcterms.issued | 2024-12 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | CC-BY-ND-4.0 | en_US |
| dcterms.publisher | Accelerating Impacts of CGIAR Climate Research for Africa | |
| dcterms.subject | climate change | en_US |
| dcterms.subject | artificial intelligence | en_US |
| dcterms.subject | climate services-climate information services | en_US |
| dcterms.subject | forecasting | en_US |
| dcterms.subject | climatic data-climate data | en_US |
| dcterms.subject | extreme weather events-climate extremes | en_US |
| dcterms.type | Brief | en_US |
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