Suitability of satellite-based rainfall products for estimating rainfall erosivity in areas with contrasted climate and terrain properties: Example of west-central Morocco

IF 1.3 4区地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Journal of Earth System Science Pub Date : 2024-04-09 DOI:10.1007/s12040-024-02287-2

Najat Ben Daoud, Lahcen Daoudi, Mariame Rachdane, Abdelali Gourfi, Mohamed Elmehdi Saidi

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Abstract

This study aims to assess the accuracy of three satellite-derived products (IMERG-F, CHIRPS and PERSIANN CDR) in quantifying the erosivity of rainfall. A network of 14 gauge stations is utilized to estimate the R-factor in west-central Morocco between 2001 and 2020. This evaluation is conducted at the basin, and the pixel scale is based on five statistical metrics. The present research showed that rainfall intensity and the topographic characteristic of terrain could highly affect the performance of SPPs in estimating the R-factor; the results show that the estimations become less accurate either in high altitudes or in high rainfall intensities. Furthermore, the findings indicate that CHIRPS outperforms the other datasets, particularly at the basin scale where the relative bias is close to 0, with a minimum error and a Nash coefficient of about 0.62, followed by the IMERG-F product, while PERSIANN CDR has the lowest performance. Overall, this study’s outcome yields valuable insights into the applicability of CHIRPS product in estimating rainfall erosivity factor in scarcely gauged areas characterized by a complex climate and topography.

Research highlights

The rainfall erosivity factor was calculated using three satellite precipitation products.
CHIRPS product exhibited the best performance in estimating rainfall erosivity in Tensift watershed.
The performance of SPPs in estimating R factor is highly affected by the altitudes and the climatic caracteristics of the study area.
The vulnerability maps were created to identify regions threatened by water erosion according to the three products.

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基于卫星的降雨产品是否适合用于估算气候和地形特征截然不同地区的降雨侵蚀率：以摩洛哥中西部为例

摘要本研究旨在评估三种卫星衍生产品（IMERG-F、CHIRPS 和 PERSIANN CDR）在量化降雨侵蚀率方面的准确性。利用由 14 个测量站组成的网络来估算 2001 年至 2020 年期间摩洛哥中西部的 R 系数。该评估以流域为单位，像素尺度基于五个统计指标。本研究表明，降雨强度和地形特征会严重影响 SPP 在估算 R 因子方面的性能；结果显示，在高海拔地区或降雨强度较高的地区，估算的准确性会降低。此外，研究结果表明，CHIRPS 的性能优于其他数据集，特别是在流域尺度上，其相对偏差接近 0，误差最小，纳什系数约为 0.62，其次是 IMERG-F 产品，而 PERSIANN CDR 的性能最低。总之，这项研究成果对 CHIRPS 产品在气候和地形复杂的缺测地区估算降雨侵蚀因子的适用性提供了有价值的启示。研究要点利用三种卫星降水产品计算了降雨侵蚀因子。CHIRPS产品在估算Tensift流域的降雨侵蚀率方面表现最佳。SPPs在估算R因子方面的表现受研究区域的海拔高度和气候特征的影响很大。根据三种产品绘制了脆弱性地图，以确定受到水侵蚀威胁的区域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences

CiteScore

3.20

自引率

5.30%

发文量

226

期刊介绍： The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.