Hydrological assessment of different satellite precipitation products in semi-arid basins in Morocco

IF 2.6 Q2 WATER RESOURCES Frontiers in Water Pub Date : 2023-12-20 DOI:10.3389/frwa.2023.1243251
El Mahdi El Khalki, Y. Tramblay, M. Saidi, A. Marchane, A. Chehbouni
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Abstract

In data-sparse regions and in developing countries such as Morocco, where flooding has serious socio-economic impacts, satellite-based precipitation products open new possibilities for monitoring and modelling water resources and floods. The objective of the study is to explore the possibility of using satellite precipitation products (SPPs) with hydrological models (CREST and MISDc) over 9 basins in Morocco. This work provides a hydrological assessment of three SPPs that have demonstrated good capabilities in reproducing precipitation over different basins in Morocco (GPM IMERG – PERSIANN CDR (PERCDR) and CHIRPS). The two hydrological models are coupled with a stochastic calibration method to provide the different ranges of uncertainties. In addition, we investigate the ability of SPPs on reproducing the November 2014 flood event that affected a large part of Morocco. The results indicated that, in calibration, both hydrological models provided similar performance to reproduce river discharge with observed precipitation or PERSIANN CDR. In validation, the combination of the MISDc model with PERSIANN CDR performed the best, notably allowing a good simulation of the flood hydrographs during the November 2014 event. Future analysis of relationships between SPPs, basin properties, and hydrological modelling technique will allow to find the appropriate combination for different application purposes.
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摩洛哥半干旱盆地不同卫星降水产品的水文评估
在数据稀缺的地区和摩洛哥这样的发展中国家,洪水会对社会经济造成严重影响,卫星降水产品为水资源和洪水的监测和建模提供了新的可能性。这项研究的目的是探索将卫星降水产品与摩洛哥 9 个流域的水文模型(CREST 和 MISDc)结合使用的可能性。这项工作对三个卫星降水产品(GPM IMERG - PERSIANN CDR (PERCDR) 和 CHIRPS)进行了水文评估。这两个水文模型与随机校准方法相结合,提供了不同的不确定性范围。此外,我们还研究了 SPP 重现 2014 年 11 月影响摩洛哥大部分地区的洪水事件的能力。结果表明,在校准过程中,两种水文模型在利用观测到的降水量或 PERSIANN CDR 再现河流排水量方面表现相似。在验证过程中,MISDc 模型与 PERSIANN CDR 的组合表现最佳,特别是能够很好地模拟 2014 年 11 月事件期间的洪水水文图。未来对 SPPs、流域属性和水文建模技术之间关系的分析将有助于找到适合不同应用目的的适当组合。
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来源期刊
Frontiers in Water
Frontiers in Water WATER RESOURCES-
CiteScore
4.00
自引率
6.90%
发文量
224
审稿时长
13 weeks
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