A methodology for temporal disaggregation of daily rain gauge data using satellite precipitation product for improved accuracy in hydrologic simulation

IF 1.6 Q3 WATER RESOURCES
Nitin Singh Kachhawa, Prasit Girish Agnihotri
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Abstract

Abstract High-temporal resolution rainfall is a prerequisite for flood risk-related studies. Recently, satellite precipitation products (SPPs) have gained some attention in the hydro-meteorology field, but the application of these products for hydrological studies is still uncertain. This study discusses the methodology for temporal disaggregation of daily rain gauge (DRG) data using SPP for improved accuracy in hydrologic simulation. The objectives of this research article are (i) to temporally dis-aggregate the DRG data using 3-h SPP TRMM_3B42RT; (ii) to suggest the best approach in terms of hydrologic simulation capabilities using the compound factor (CF) technique. The hydrologic simulation in HEC-HMS was performed for various temporally disaggregated rain gauge (TDRG) data and results were analyzed using 10 efficiency criteria. The best approach was selected using the CF technique. The lowest CF of 2.4 reveals that peak discharge can be computed with less than 8% deviation using the TDRG data, which utilizes the least error tile/grid/pixel from rain gauge rainfall value out of four nearby tile/grid/pixel. This study concluded that flood volume can be computed with less than 5% deviation using DRG data but it failed to reproduce the flood peak. This approach has overcome the insufficiency of sub-daily rainfall observation.
利用卫星降水产品对日雨量计数据进行时间分解以提高水文模拟精度的方法
高时间分辨率降雨是洪水风险相关研究的先决条件。近年来,卫星降水产品在水文气象领域受到了一定的关注,但其在水文研究中的应用仍不确定。本文讨论了利用SPP对日雨量计(DRG)数据进行时间分解的方法,以提高水文模拟的精度。本研究的目的是:(i)使用3-h SPP TRMM_3B42RT暂时分解DRG数据;(ii)就使用复合因子技术的水文模拟能力提出最佳方法。在HEC-HMS中对不同时间分解雨量计(TDRG)数据进行了水文模拟,并采用10个效率标准对结果进行了分析。采用CF技术选择最佳入路。最小的CF值为2.4,表明使用TDRG数据可以在小于8%的偏差下计算峰值流量,该数据利用了附近四个瓦/网格/像素中与雨量计降雨量值误差最小的瓦/网格/像素。本研究得出的结论是,利用DRG数据可以在小于5%的偏差下计算洪量,但不能再现洪峰。该方法克服了亚日降水观测的不足。
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
CiteScore
2.30
自引率
6.20%
发文量
136
审稿时长
14 weeks
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