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Rainfall exhibits significant spatial and temporal variability in arid and semi-arid regions, posing challenges for water resource management due to sparse measurement networks in developing countries. Various spatial rainfall measurement sources have emerged in recent years, including CHIRPS, IMERG, PERSIAN, and TRMM data (Tropical Rainfall Measurement Mission). This study assesses these products using rain gauge measurements from 19 stations in the Draa Oued Noun (DON) basin in Southern Morocco. The relevance of all products was evaluated through direct comparison with observations at different time scales (daily, monthly, and annual) between 2000 and 2015. Results indicate poor performance of satellite products in estimating rainfall at the daily time scale. However, accuracy improves when data are temporally averaged to a monthly scale, with enhanced correlation observed when spatially averaged at the watershed level. Hence, at the monthly scale, satellite-derived rainfall data can serve as a valuable resource for monitoring and managing water resources in ungauged basins in semi-arid regions. Accurate and reliable rainfall estimates are crucial for effective water resource management, particularly in arid and semi-arid areas with limited gauge networks. In recent years, several satellite-based rainfall estimation products, such as CHIRPS, IMERG, PERSIAN, and TRMM data, have become available. This study evaluates the performance of these products in the Draa Oued Noun (DON) basin, a semi-arid region in Southern Morocco, using rain gauge measurements from 19 stations. The products are compared with observations at daily, monthly, and annual time scales from 2000 to 2015. The results show that the satellite products exhibit poor performance at the daily time scale. However, when temporally averaged to a monthly time scale, the products demonstrate improved accuracy and correlation with the observed data. Furthermore, the spatial averaging of the products at the watershed scale enhances their accuracy. Therefore, at the monthly time scale, satellite-based rainfall estimation products can provide a useful source of data for water resource monitoring and management in semi-arid regions with limited gauge networks.

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Assessment and Evaluation of Satellite Products Rainfall Over the Draa Oued Noun Watershed in Morocco

  • 会议论文

  • 发表日期：

    2025年

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  • Lahcen Goumghar,
  • Malika Kili,
  • Abdelaziz Mridekh,
  • Bouabid El Mansouri,
  • Soufiane Taia,
  • Hamza Ouatiki

摘要

Rainfall exhibits significant spatial and temporal variability in arid and semi-arid regions, posing challenges for water resource management due to sparse measurement networks in developing countries. Various spatial rainfall measurement sources have emerged in recent years, including CHIRPS, IMERG, PERSIAN, and TRMM data (Tropical Rainfall Measurement Mission). This study assesses these products using rain gauge measurements from 19 stations in the Draa Oued Noun (DON) basin in Southern Morocco. The relevance of all products was evaluated through direct comparison with observations at different time scales (daily, monthly, and annual) between 2000 and 2015. Results indicate poor performance of satellite products in estimating rainfall at the daily time scale. However, accuracy improves when data are temporally averaged to a monthly scale, with enhanced correlation observed when spatially averaged at the watershed level. Hence, at the monthly scale, satellite-derived rainfall data can serve as a valuable resource for monitoring and managing water resources in ungauged basins in semi-arid regions. Accurate and reliable rainfall estimates are crucial for effective water resource management, particularly in arid and semi-arid areas with limited gauge networks. In recent years, several satellite-based rainfall estimation products, such as CHIRPS, IMERG, PERSIAN, and TRMM data, have become available. This study evaluates the performance of these products in the Draa Oued Noun (DON) basin, a semi-arid region in Southern Morocco, using rain gauge measurements from 19 stations. The products are compared with observations at daily, monthly, and annual time scales from 2000 to 2015. The results show that the satellite products exhibit poor performance at the daily time scale. However, when temporally averaged to a monthly time scale, the products demonstrate improved accuracy and correlation with the observed data. Furthermore, the spatial averaging of the products at the watershed scale enhances their accuracy. Therefore, at the monthly time scale, satellite-based rainfall estimation products can provide a useful source of data for water resource monitoring and management in semi-arid regions with limited gauge networks.