Accuracy validation of remote sensing and reanalysis evapotranspiration data: A comparative study based on GRACE and monthly water balance model

被引：0
|
作者：
Yun Z. [1 ]
Hu Q. [1 ,2 ]
Wang Y. [1 ,2 ]
Wu H. [3 ]
Wang L. [1 ]
Shang S. [1 ]
机构：
[1] Nanjing Hydraulic Research Institute, State Key Laboratory of Hydrology, Water Resources & Hydraulic Engineering Science, Nanjing
[2] Yangtze Institute for Conservation and Development, Nanjing
[3] Huzhou Municipal Bureau of Water Resources, Huzhou
来源：
Shuili Xuebao/Journal of Hydraulic Engineering | 2023年 / 54卷 / 01期
关键词：
atmospheric reanalysis; GRACE; remote sensing evapotranspiration; Water Balance Model;
D O I：
10.13243/j.cnki.slxb.20220391
中图分类号：
学科分类号：
摘要：
The actual evapotranspiration monthly series ETGRACE and ETVBM were constructed by using the GRACE terrestrial water storage change data and monthly Water Balance Model with Double Parameters (WBM-DP) re-spectively. Taking this as the benchmark, the performance of two remote sensing evapotranspiration data (MOD16, SSEbop) and an atmospheric reanalysis data (GLDAS-Noah) in the upper Hanjiang River basin were evaluated. The results show that the evapotranspiration reference series obtained by GRACE data and WBM-DP in the upper Hanjiang River basin from 2006 to 2014 are close at the annual scale, but there are significant differ-ences at the monthly scale. WBM-DP can simulate the seasonal variation characteristics of terrestrial water storage better under the influence of precipitation and potential evapotranspiration, and WBM-DP-based evapotranspiration benchmark sequence is also more reasonable. However, the variation of water storage in the basin reflected by the GRACE data is unreasonable, so the benchmark sequence of monthly evapotranspiration calculated according to the water balance equation also has anomalies. On the monthly scale, the difference of the benchmark series will lead to non-uniform changes in the precision index of evapotranspiration data, so its impact cannot be ignored. At the same time, the results of accuracy evaluation may also be different. In each month of non - flood period, when ETVBM is used as the benchmark, the comprehensive accuracy of MOD16 is the best; when ETGRACE is taken as the benchmark, SSEbop is the best. Compared with ETGRACE , the quantitative accuracy differences of MOD16, Noah and SSEbop are more significant when ETvm is used as the benchmark. The paper deepens the understanding of the applicability of GRACE data, and provides a reference for the accuracy evaluation and data optimization of satellite remote sensing and atmospheric reanalysis evapotranspiration data. © 2023 China Water Power Press. All rights reserved.
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页码：117 / 127
页数：10
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