作 者：Han, ZhimingHuang, ShengzhiHuang, QiangLeng, GuoyongWang, HaoHe, LiFang, WeiLi, Pei
作者机构：State Key Laboratory Base of Eco-Hydraulic Engineering in Arid AreaXi'an University of Technology ChinaKey Laboratory of Water Cycle and Related Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River BasinChina Institute of Water Resources and Hydropower Research Beijing100038 ChinaState Key Laboratory of Hydraulic Simulation and SafetySchool of Architecture Tianjin University Tianjin300072 China
出 版 物：《Journal of Hydrology》
年 卷 期：2019年第574卷
基 金：This study was jointly funded by the National Key Research and Development Program of China (grant number 2017YFC0405900)the National Natural Science Foundation of China (grant number 51709221 )the Planning Project of Science and Technology of Water Resources of Shaanxi (grant numbers 2015slkj-27 and 2017slkj-19)the China Scholarship Council (grant number 201608610170 )the Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Researchgrant number IWHR-SKL-KF201803) and the Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (2018490711).
主 题：DynamicsAtmospheric pressureClimatologyDigital storageGroundwaterSoil moistureChanging environmentConcentration degreeDistribution characteristicsGRACEMultitime scaleSouthern oscillationTeleconnectionsTerrestrial water storage
摘 要：Changes in terrestrial water storage anomalies (TWSA) are not only influenced by local climate conditions but also by teleconnection factors. To date, how teleconnection factors including sunspot activities could affect TWSA has been under-examined. In this study, we investigate the TWSA dynamics in the Yunnan Province (YP), China, and assess their relationships with teleconnection factors at multiple timescales. Results show that: (1) GRACE data is able to reflect TWSA dynamics in the study region, as demonstrated by its high correlations with soil moisture, precipitation, and groundwater anomalies; (2) GRACE-based TWSA shows a downward trend of varying degrees at the monthly, seasonal, annual and multi-year scales, with obvious periodic changes of 11 and around 60 months; (3) precipitation magnitude and its distribution characteristics in humid areas are the main driving factors of TWSA, and teleconnection factors have stronger association with precipitation-concentration degree (PCD) than precipitation magnitude; (4) the 2009 extreme drought has caused a sharp decrease in TWSA, and the correlations between TWSA with Arctic Oscillation (AO) and El-Niño Southern Oscillation (ENSO) were 0.88 (a = 0.01) and −0.58 (a = 0.01). This study sheds new insights into how teleconnection factors could TWSA dynamics in a changing environment. © 2019 Elsevier B.V.