Accuracy Analysis of IMERG Satellite Rainfall Data and Its Application in Long-term Runoff Simulation

Chongxun Mo,Junkai Qin,Mingshan Zhang,Zhenxiang Xing,Yuli Ruan,Guikai Sun,Yafang Wang

doi:10.3390/w12082177

Chongxun Mo, Junkai Qin + Show 5 more

Open Access

https://doi.org/10.3390/w12082177

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Journal: Water	Publication Date: Aug 2, 2020
Citations: 8	License type: CC BY 4.0

Affiliation: Guangxi University, Northeast Agricultural University

Abstract

Frequent flood disasters have caused serious damage to karst areas with insufficient measured rainfall data, and the analysis of the applicability of satellite rainfall data in runoff simulation is helpful to the local water management. Therefore, the purpose of this study is to analyze the accuracy of IMERG satellite rainfall data and apply it to long-term runoff simulations in a karst area—the Xiajia River basin, China. First, R (correlation coefficient) and POD (probability of detection) are applied to analyze the accuracy of the IMERG data, and the SWAT model is used for runoff simulation. The results show that the accuracy of the original IMERG data is poor (R range from 0.412 to 0.884 and POD range from 47.33 to 100), and the simulation results are “Unsatisfactory” (NSE (Nash-Sutcliffe efficiency coefficient) ranged from 0.17 to 0.32 and RSR (root mean square standard deviation ratio) ranged from 0.81 to 0.92). Therefore, the GDA correction method is used to correct the original IMERG data, and then the accuracy analysis and runoff simulation are carried out. The results show that the accuracy of the corrected IMERG data is better than that of the original data (R range from 0.886 to 0.987 and POD range from 94.08 to 100), and the simulation results of the corrected IMERG data are “Satisfactory” (NSE is over 0.55 and RSR is approximately 0.65). Therefore, the corrected data have a certain applicability in long-term continuous runoff simulations.

Highlights

Global climate change is an undeniable fact, and under the influence of climate change, flood disasters occur frequently, causing long-term and large-scale damage and impacts [1]
After being calibrated by using the precipitation observed by the ground station, the monthly mean scales in the validation period to evaluate the application of the IMERG early data in Soil and Water Assessment Tool (SWAT) model was driven by the IMERG early data to obtain the runoff process on the daily, long-term runoff simulation, and the results are shown in Figures 8–10 and Table 5
Accuracy analysis of the precipitation data from satellites is helpful for water management, Accuracy analysis of the precipitation data from satellites is helpful for water especially in the areas with a sparse rain gauge station network

Summary

Introduction

Global climate change is an undeniable fact, and under the influence of climate change, flood disasters occur frequently, causing long-term and large-scale damage and impacts [1]. Hydrological models have become the key way to solve such problems [3]. Used hydrological models include the SHE model, SWAT model [4,5,6,7], TOPMODEL model [8,9,10], and the Xinanjiang model [11,12], etc. Various coupling models have been widely used. Senatore et al established a coupled atmospheric hydrological model by coupling the regional climate model WRF and WRF-Hydro model and applied it to the central Mediterranean [13]; Javier Senent-Aparicio applied four nonlinear time series intelligent models combined with the SWAT model to estimate the IPF

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