Abstract
In this study, we apply statistical approaches based on frequency analysis and Artificial Neural Networks to map the 100-year monthly precipitation in a Moroccan watershed. This was accomplished by using assessed and corrected satellite-based rainfall products. A network of 10 rain gauges and six statistical validation criteria was used to compare in situ measurements and monthly rainfall estimates from the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) product for the rainy season (from November to April). Results indicate a fairly good agreement between the two data sources, with high correlation coefficients (> 0.5) for all months and low bias values (< 17%) especially for November, January, February and April. To correct the bias, we used an ANN model, with station coordinates and the monthly CHIRPS precipitation as input. The precipitation estimated by the ANN model was then compared with ground-based measurements. This simulation of monthly precipitation seems better, with significant Nash criteria and Pearson correlation coefficients (0.83–0.9). We then used this model to correct the CHIRPS gross precipitation and to perform a frequency analysis using spatial patterns of corrected rainfall. The results show that mountainous areas are conducive to high monthly precipitation amounts. These areas contrast with a potentially arid plain. This observation requires water supply plans which would consist of water transfers from surplus areas to deficit ones.
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The authors are pleased to acknowledge the Hydraulic Agency of Tensift Basin in Marrakech for rain-gauge data. Also, the reviewers are gratefully acknowledged for their time.
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All authors contributed to the study conception and design. AEAEF performed the analysis and helped write the paper; MES wrote the paper and contributed in the analysis; MJBA checked the data and helped write the paper.
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El Alaoui El Fels, A., Saidi, M.E. & Alam, M.J.B. Rainfall Frequency Analysis Using Assessed and Corrected Satellite Precipitation Products in Moroccan Arid Areas. The Case of Tensift Watershed. Earth Syst Environ 6, 391–404 (2022). https://doi.org/10.1007/s41748-021-00290-x
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DOI: https://doi.org/10.1007/s41748-021-00290-x