Scholarlink

<p>Understanding the spatiotemporal variability of precipitation is essential for devising efficient adaptation strategies to climate change effects. This knowledge is important, especially in arid and semi-arid regions prone to climate extremes. The same regions have limited observed datasets, making satellite products important for monitoring such dynamics. This study examines precipitation variability within the Casablanca-Settat region in Morocco for 1983 – 2022 using gauge station data and three precipitation products: CHIRPS, ERA5, and PERSIANN-CDR. The study employs the Mann–Kendall test to investigate precipitation trends, and root mean square error (RMSE), root mean percentage difference (RMPD), coefficient of correlation (CC), percent bias (P-BIAS), and standard deviation ratio (RSR) to assess the performance of the three satellite products. For a comprehensive assessment of spatiotemporal variability, we also employ the Percent Normal Index (PNI) and Standardized Precipitation Index (SPI) across monthly, seasonal, and annual scales. Findings show that PERSSIAN-CDR outperforms ERA5 and CHIRPS in the region, exhibiting a high correlation coefficient of 0.81, with MAE ranging from 71.6 to 111.32 and RMSE from 97.63 to 196.43, and can replace observed precipitation data. The analysis of seasonal precipitation trends reveals a general decline in the wet period, with significant decreases of up to 0.2&#xa0;mm in the southern and western coastal regions in the winter. With the transition to the dry season, precipitation shows an increasing trend, with a significant increase in the southwestern region during summer. On an annual scale, all regions exhibit a decreasing trend, except for parts of the northeast, where precipitation increases. Despite the increasing trend, the last decade has witnessed a drying trend in all seasons, especially in summer. The use of PERSIANCDR product, coupled with rigorous analysis, sheds light on the changing dynamics of precipitation at pixel scale that can be utilized to support agricultural activities in the context of climate variability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Investigation of precipitation variability and meteorological drought in Casablanca Settat region

  • 期刊论文

  • 发表日期：

    2025年5月30日

查看全文
  • Younes Dahhane,
  • Victor Ongoma,
  • Abdessamad Hadri,
  • Mohamed Hakim Kharrou,
  • Abdelghani Chehbouni

摘要

Understanding the spatiotemporal variability of precipitation is essential for devising efficient adaptation strategies to climate change effects. This knowledge is important, especially in arid and semi-arid regions prone to climate extremes. The same regions have limited observed datasets, making satellite products important for monitoring such dynamics. This study examines precipitation variability within the Casablanca-Settat region in Morocco for 1983 – 2022 using gauge station data and three precipitation products: CHIRPS, ERA5, and PERSIANN-CDR. The study employs the Mann–Kendall test to investigate precipitation trends, and root mean square error (RMSE), root mean percentage difference (RMPD), coefficient of correlation (CC), percent bias (P-BIAS), and standard deviation ratio (RSR) to assess the performance of the three satellite products. For a comprehensive assessment of spatiotemporal variability, we also employ the Percent Normal Index (PNI) and Standardized Precipitation Index (SPI) across monthly, seasonal, and annual scales. Findings show that PERSSIAN-CDR outperforms ERA5 and CHIRPS in the region, exhibiting a high correlation coefficient of 0.81, with MAE ranging from 71.6 to 111.32 and RMSE from 97.63 to 196.43, and can replace observed precipitation data. The analysis of seasonal precipitation trends reveals a general decline in the wet period, with significant decreases of up to 0.2 mm in the southern and western coastal regions in the winter. With the transition to the dry season, precipitation shows an increasing trend, with a significant increase in the southwestern region during summer. On an annual scale, all regions exhibit a decreasing trend, except for parts of the northeast, where precipitation increases. Despite the increasing trend, the last decade has witnessed a drying trend in all seasons, especially in summer. The use of PERSIANCDR product, coupled with rigorous analysis, sheds light on the changing dynamics of precipitation at pixel scale that can be utilized to support agricultural activities in the context of climate variability.