@article{6bc7d7fb36924681aefa734b36508bfc,
title = "Attribution of Global Soil Moisture Drying to Human Activities: A Quantitative Viewpoint",
abstract = "Anthropogenic impacts on widespread global soil moisture (SM) drying in the root zone layer during 1948–2005 were evaluated based on the Global Land Data Assimilation System version 2 (GLDAS-2) and global climate models from the Coupled Model Intercomparison Project Phase 5 using trend analysis and optimal fingerprint methods. Both methods show agreement that natural forcing alone cannot drive significant SM drying. There is a high probability (≥90%) that the anthropogenic climate change signal is detectable in global SM drying. Specifically, anthropogenic greenhouse gas forcing can lead to global SM drying by 2.1 × 10−3 m3/m3, which is comparable to the drying trend seen in Global Land Data Assimilation System version 2 (2.4 × 10−3 m3/m3) over the past 58 years. Global SM drying is expected to continue in the future, given continuous greenhouse gas emissions.",
keywords = "attribution, human activities, soil moisture",
author = "Xihui Gu and Qiang Zhang and Jianfeng LI and Singh, {Vijay P.} and Jianyu Liu and Peng Sun and Changxiu Cheng",
note = "Funding Information: This work was financially supported by the National Natural Science Foundation of China (Grant 41771536); the National Science Foundation for Distinguished Young Scholars of China (Grant 51425903); the National Key R&D Program of China (Grant 2018YFA0605603); the Fund for Creative Research Groups of National Natural Science Foundation of China (Grant 41621061); the Strategic Priority Research Program Grant of the Chinese Academy of Sciences (Grant XDA19070402); the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grants CUG180614 and CUGCJ1702); and the fund for State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment (Grant SKLLQG1849). The authors appreciate the constructive reviews by two anon ymous reviewers and the editor Valeriy Ivanov. We acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP5, and National Aeronautics and Space Administration Goddard Earth Science Data Information and Services Center (GES DISC), which is responsible for GLDAS, and we thank the climate modeling groups and GES DISC for developing and making their model outputs available. The monthly SM data sets from GLDAS are available at the EOSDIS website (https://disc.gsfc.nasa. gov/datasets?keywords=GLDAS) and from CMIP5 at the Lawrence Livermore National Laboratory website (https:// esgf‐node.llnl.gov/search/cmip5/). Funding Information: This work was financially supported by the National Natural Science Foundation of China (Grant 41771536); the National Science Foundation for Distinguished Young Scholars of China (Grant 51425903); the National Key R&D Program of China (Grant 2018YFA0605603); the Fund for Creative Research Groups of National Natural Science Foundation of China (Grant 41621061); the Strategic Priority Research Program Grant of the Chinese Academy of Sciences (Grant XDA19070402); the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grants CUG180614 and CUGCJ1702); and the fund for State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment (Grant SKLLQG1849). The authors appreciate the constructive reviews by two anonymous reviewers and the editor Valeriy Ivanov. We acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP5, and National Aeronautics and Space Administration Goddard Earth Science Data Information and Services Center (GES DISC), which is responsible for GLDAS, and we thank the climate modeling groups and GES DISC for developing and making their model outputs available. The monthly SM data sets from GLDAS are available at the EOSDIS website (https://disc.gsfc.nasa.gov/datasets?keywords=GLDAS) and from CMIP5 at the Lawrence Livermore National Laboratory website (https://esgf-node.llnl.gov/search/cmip5/).",
year = "2019",
month = mar,
day = "16",
doi = "10.1029/2018GL080768",
language = "English",
volume = "46",
pages = "2573--2582",
journal = "Geophysical Research Letters",
issn = "0094-8276",
publisher = "Wiley-Blackwell",
number = "5",
}
