High-Resolution Terrestrial Water Storage Estimates From GRACE and Land Surface Models

被引:6
作者
Kim, Jae-Seung [1 ]
Seo, Ki-Weon [1 ]
Kim, Byeong-Hoon [2 ]
Ryu, Dongryeol [3 ]
Chen, Jianli [4 ,5 ]
Wilson, Clark [6 ,7 ]
机构
[1] Seoul Natl Univ, Dept Earth Sci Educ, Seoul, South Korea
[2] Korea Polar Res Inst, Div Glacial Environm Res, Incheon, South Korea
[3] Univ Melbourne, Dept Infrastructure Engn, Melbourne, Vic, Australia
[4] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China
[5] Hong Kong Polytech Univ, Res Inst Land & Space, Hong Kong, Peoples R China
[6] Univ Texas Austin, Ctr Space Res, Austin, TX USA
[7] Univ Texas Austin, Jackson Sch Geosci, Dept Geol Sci, Austin, TX USA
基金
新加坡国家研究基金会;
关键词
GRACE; land surface model; terrestrial water storage; high-resolution TWS; DATA ASSIMILATION; LEAKAGE ERROR; GROUNDWATER; GREENLAND; GRAVITY;
D O I
10.1029/2023WR035483
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Terrestrial Water Storage (TWS) changes have been estimated at basin to continental scales from gravity variations using data from the Gravity Recovery and Climate Experiment (GRACE) satellites since 2002. The relatively low spatial resolution (similar to 300 km) of GRACE observations has been a main limitation in such studies. Various data processing strategies, including mascons, forward modeling, and constrained linear deconvolution (CLD), have been employed to address this limitation. Here we develop a revised CLD method to obtain a TWS estimate that combines GRACE observations with much higher spatial resolution land surface models. The revised CLD constrains model estimates to agree with GRACE TWS when smoothed. As an example, we apply the method to obtain a high spatial resolution TWS estimate in Australia. We assess the accuracy of the approach using synthetic GRACE data.
引用
收藏
页数:16
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