Seasonal prediction of rainfall variability for the West African Sudan-Sahel

  • The Sudan-Sahel region in West Africa is highly vulnerable to rainfall variability, which poses significant challenges to agriculture and water resource management. This study provides an assessment of seasonal rainfall prediction models in the region, focusing on the West African Regional Climate Outlook Forum (WARCOF, 1998–2023), the latest generation of the seasonal forecasting system from the European Centre for Medium-Range Weather Forecasts (ECMWF SEAS5, 1981-2023), and a novel atmospheric circulation-pattern-based logistic regression model (1981–2023). The circulation-pattern-based model, which integrates key atmospheric dynamics like near-surface wind anomalies, outperforms both WARCOF and SEAS5 in predicting interannual rainfall variability. While WARCOF and SEAS5 demonstrate some predictive skill, both models exhibit biases: WARCOF has a dry bias, and SEAS5 displays both dry and wet biases. The circulation-pattern-based model, despite a slight wet bias, delivers more accurateThe Sudan-Sahel region in West Africa is highly vulnerable to rainfall variability, which poses significant challenges to agriculture and water resource management. This study provides an assessment of seasonal rainfall prediction models in the region, focusing on the West African Regional Climate Outlook Forum (WARCOF, 1998–2023), the latest generation of the seasonal forecasting system from the European Centre for Medium-Range Weather Forecasts (ECMWF SEAS5, 1981-2023), and a novel atmospheric circulation-pattern-based logistic regression model (1981–2023). The circulation-pattern-based model, which integrates key atmospheric dynamics like near-surface wind anomalies, outperforms both WARCOF and SEAS5 in predicting interannual rainfall variability. While WARCOF and SEAS5 demonstrate some predictive skill, both models exhibit biases: WARCOF has a dry bias, and SEAS5 displays both dry and wet biases. The circulation-pattern-based model, despite a slight wet bias, delivers more accurate categorical predictions and offers greater reliability. An economic value analysis reveals that the circulation-pattern-based model provides a broader range of positive economic outcomes, making it more suitable for decision-making across various cost-loss scenarios. By introducing this novel model and evaluating traditional forecasting techniques, this study lays the groundwork for more accurate and reliable seasonal rainfall predictions.show moreshow less

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Metadaten
Author:Manuel RauchORCiDGND, Jan BliefernichtORCiDGND, Windmanagda SawadogoORCiDGND, Souleymane SyORCiDGND, Moussa Waongo, Harald KunstmannORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1184232
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/118423
ISSN:2624-9375OPAC
Parent Title (English):Frontiers in Water
Publisher:Frontiers Media S.A.
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/01/29
Tag:seasonal rainfall prediction; rainfall variability; Sudan-Sahel region; West Africa; k-means; logistic regression
Volume:6
First Page:1523898
DOI:https://doi.org/10.3389/frwa.2024.1523898
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Lehrstuhl für Regionales Klima und Hydrologie
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 2 - Kein Hunger
Nachhaltigkeitsziele / Ziel 6 - Sauberes Wasser und Sanitäre Einrichtungen
Dewey Decimal Classification:9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)