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A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations 期刊论文
, 2020, 卷号: 143
作者:  Jing W.;  Di L.;  Zhao X.;  Yao L.;  Xia X.;  Liu Y.;  Yang J.;  Li Y.;  Zhou C.
收藏  |  浏览/下载：31/0  |  提交时间：2020/07/28
Decision trees  Digital storage  Evapotranspiration  Geodetic satellites  Groundwater  Learning systems  Soil moisture  Surface measurement  Water conservation  Water supply  Data-driven approach  Ensemble learning algorithm  Gravity recovery and climate experiment satellites  Groundwater storage  Land surface modeling  Machine learning models  Terrestrial water storage  Variable importances  Learning algorithms