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Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin

文献类型：期刊论文

作者Tang, Senlin2,3; Wang, Hong2; Feng, Yao2; Liu, Qinghua4; Wang, Tingting2; Liu, Wenbin2; Sun, Fubao1,2,3,5
刊名REMOTE SENSING
出版日期2021-12-01
卷号13期号:23页码:18
关键词Lancang-Mekong River basin random forest terrestrial water storage water balance discharge
DOI10.3390/rs13234831
通讯作者Wang, Hong(wanghong@igsnrr.ac.cn)
英文摘要Terrestrial water storage (TWS) is a critical variable in the global hydrological cycle. The TWS estimates derived from the Gravity Recovery and Climate Experiment (GRACE) allow us to better understand water exchanges between the atmosphere, land surface, sea, and glaciers. However, missing historical (pre-2002) GRACE data limit their further application. In this study, we developed a random forest (RF) model to reconstruct the monthly terrestrial water storage anomaly (TWSA) time series using Global Land Data Assimilation System (GLDAS) and Climatic Research Unit (CRU) data for the Lancang-Mekong River basin. The results show that the RF-built TWSA time series agrees well with the GRACE TWSA time series for 2003-2014, showing that correlation coefficients (R) of 0.97 and 0.90 at the basin and grid scales, respectively, which demonstrates the reliability of the RF model. Furthermore, this method is used to reconstruct the historical TWSA time series for 1980-2002. Moreover, the discharge can be obtained by subtracting the evapotranspiration (ET) and RF-built terrestrial water storage change (TWSC) from the precipitation. The comparison between the discharge calculated from the water balance method and the observed discharge showed significant consistency, with a correlation coefficient of 0.89 for 2003-2014 but a slightly lower correlation coefficient (0.86) for 1980-2002. The methods and findings in this study can provide an effective means of reconstructing the TWSA and discharge time series in basins with sparse hydrological data.
WOS关键词SATELLITE ; EVAPOTRANSPIRATION ; PRECIPITATION ; MODELS ; LAND ; DYNAMICS ; DATASETS ; DROUGHT
资助项目National Natural Sciences Foundation of China[42001015] ; National Natural Sciences Foundation of China[42001031] ; Program for the Kezhen-Bingwei Youth Talents from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2020RC004] ; China Postdoctoral Science Foundation[2018M640173] ; China Postdoctoral Science Foundation[2020M670432] ; China Postdoctoral Science Foundation[2021T140657] ; China Postdoctoral Science Foundation[2020T130646] ; Top-Notch Young Talents Program of China
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000735111000001
出版者MDPI
资助机构National Natural Sciences Foundation of China ; Program for the Kezhen-Bingwei Youth Talents from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; Top-Notch Young Talents Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/169209]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Hong
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
4.Peking Univ, Inst Remote Sensing Geog Informat Syst, Beijing 100871, Peoples R China
5.Akesu Natl Stn Observ & Res Oasis Agroecsyst, Akesu 843300, Peoples R China
推荐引用方式
GB/T 7714		 Tang, Senlin,Wang, Hong,Feng, Yao,et al. Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin[J]. REMOTE SENSING,2021,13(23):18.
APA Tang, Senlin.,Wang, Hong.,Feng, Yao.,Liu, Qinghua.,Wang, Tingting.,...&Sun, Fubao.(2021).Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin.REMOTE SENSING,13(23),18.
MLA Tang, Senlin,et al."Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin".REMOTE SENSING 13.23(2021):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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