Analysis and prospects of hydrological model construction methods based on GRACE data assimilation
The water storage information retrieved by GRACE satellite provides high-precision data for the study of water cycle process.However,assimilating terrestrial water storage change data of GRACE satellite into existing distributed hydrological models for streamflow simulation has become a key scientific challenge in utilizing GRACE data to improve the accuracy of water storage and streamflow simulations.Based on a review of current research progress,this article summarized the commonly used methods for assimilating GRACE water storage change data into distributed hydrological model,the principles and advantages/disadvantages of existing data assimilation approaches,and the extent to which different data assimilation methods improve the accuracy of hydrological modeling for water storage and streamflow simulations.Furthermore,this study identified the problems associated with assimilating GRACE water storage change data into distributed hydrological models and then proposed possible solutions to these problems.The results of this study indicate that the challenges in assimilating GRACE water storage change data into distributed hydrological models include:1)the contradiction between the high spatial and temporal modeling requirements of hydrological models and the low spatial and temporal resolutions of GRACE data and 2)the discrepancy between the individual simulation of water storage components in distributed hydrological models and the representation of total terrestrial water storage changes by GRACE data.Findings from previous studies in different river basins manifest that assimilating GRACE water storage data can reduce the root mean square error of water storage simulations by approximately 5％to 40％and increase the correlation coefficient of water storage simulations by about 10％to 50％.However,the improvement in streamflow simulation accuracy is relatively limited,with an increase in the correlation coefficient of approximately 2％to 16％.This research provides theoretical and methodological references for the development and application of hydrological models assimilating GRACE satellite water storage data.
GRACE satellite water storage datadistributed hydrological modelterrestrial water storagedata assimilationrunoff simulation
万方数据
维普
