埃塞俄比亚谢贝利盆地地面、GPM、IMERG和CHIRPS降水数据水文模型评价

Abdinour Abshir Hussein, A. Baylar
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引用次数: 1

摘要

一致和准确的降水测量是水文模型的基本输入部分。然而,包括埃塞俄比亚在内的大多数发展中国家缺乏一致和精确的降水测量。然而,在地面数据有限的地区,基于卫星的降水数据可能在弥补数据缺口和为降雨-径流模式提供降水输入方面发挥关键作用。该研究将埃塞俄比亚气象局和SWALIM提供的地面降水数据与基于卫星的GPM_IMERG和CHIRPS降水产品进行了比较。利用hehms软件对降雨径流模拟进行建模,并利用ArcGIS和HEC- GeoHMS对研究区空间特征和模型开发进行处理。由于现有数据足够,适合连续事件评估,因此对基于连续事件的损失方法deficit and constant loss method进行了测试,得到了良好的模型性能结果。现有的14年降水和流量数据分为7年用于校准和7年用于验证。采用Nash-Sutcliffe效率(ENS)、决定系数(R2)、均方根误差(RMSE)和百分比偏差目标函数,对卫星降水的性能进行了评价。在2013年1月至2009年12月的定标期内,气象站的ENS值为0.65,R2值为0.68,RMSE值为0.6,偏差为0.58%;CHIRPS的ENS值为0.61,R2值为0.64,RMSE值为0.6,偏差为5.38%;GMP_IMERG卫星降水产品的ENS值为0.63,R2值为0.66,RMSE值为0.7,偏差为18.9%。在2010年1月至2016年12月的验证期内,气象站的ENS值为0.75,R2值为0.78,RMSE值为0.6,偏差百分比为-16.9%;CHIRPS2的ENS值为0.71,R2值为0.74,RMSE值为0.6,偏差百分比为-22.12%;GPM_IMERG卫星降水产品的ENS值为0.76,R2值为0.76,RMSE值为0.5,偏差百分比为-0.03%。研究表明,HEC-HMS模型对CHIRPS和GPM_IMERG降水产品的水文模型具有较好的模拟效果。研究还表明,该模型在验证期内表现良好。总体而言,研究发现模拟GPM_IMERG产品的效果优于模拟CHIRPS产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydrological Model Evaluation of Ground, GPM IMERG, and CHIRPS precipitation data for Shabelle Basin in Ethiopia
Consistent and accurate precipitation measurement is a fundamental input component of the hydrological model. However, most developing countries, including Ethiopia, lack consistent and precise precipitation measurements. Nevertheless, satellitebased precipitation data may play a crucial role in bridging the data gap and providing precipitation inputs for rainfall-runoff models in regions with limited ground data. The study compares the ground precipitation data from the Ethiopian meteorological agency and SWALIM to the satellite-based GPM_IMERG and CHIRPS precipitation products. HECHMS software was used to model rainfall-runoff simulation, and the study area’s spatial characteristics and model development were processed with ArcGIS and HEC- GeoHMS. Since the data on hand is enough and fit for continuous event assessment, the deficit and constant loss method, a continuous event-based loss method, was tested, and found good model performance results. The onhand 14 years of precipitation and discharge data were divided into seven years for calibration and seven years for validation. Using Nash–Sutcliffe efficiency (ENS), coefficient of determination (R2), Root Mean Square Error (RMSE), and percentage bias objective functions, the performance of the satellite precipitation was evaluated. During calibration periods (Jan 2013 to Dec 2009), the model performance showed ENS values of 0.65, R2 values of 0.68, RMSE values of 0.6, a percent bias of 0.58% for the metrological stations, ENS values of 0.61, R2 values of 0.64, RMSE values of 0.6, a percent bias of 5.38% for CHIRPS, and ENS values of 0.63, R2 values of 0.66, RMSE values of 0.7, and a percent bias of 18.9% for GMP_IMERG satellite precipitation products. During validation periods (Jan 2010 to Dec 2016), the model performance showed ENS values of 0.75, R2 values of 0.78, RMSE values of 0.6, a percent bias of -16.9% for the metrological stations, ENS values of 0.71, R2 values of 0.74, RMSE values of 0.6, a percent bias of -22.12% for CHIRPS2, and ENS values of 0.76, R2 values of 0.76, RMSE values of 0.5, and a percent bias of -0.03% for GPM_IMERG satellite precipitation products. The study showed that the HEC-HMS model performed well and gave very good results for the hydrological model for the CHIRPS and GPM_IMERG rainfall products. The study also indicates that the model outperformed well during the validation period. Overall, the study found that the simulated GPM_IMERG product gave better results than the simulated CHIRPS product.
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