Integration of Artificial Intelligence in Seasonal to Sub‑Seasonal Forecasting Systems in West Africa and the Sahel
Citation
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).
Abstract/Description
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.
Permanent link to cite or share this item
External link to download this item
DOI
Author ORCID identifiers
Robert Zougmore https://orcid.org/0000-0002-6215-4852
