Reinterpreting Global GRACE Trends Based on Century‐Long GRACE‐REC Data

Author:

Zhong Yulong12ORCID,Tian Baoming1ORCID,Vishwakarma Bramha Dutt34ORCID,Feng Wei5ORCID,Wu Yunlong1,Bai Hongbing15ORCID,Zhong Min5

Affiliation:

1. School of Geography and Information Engineering China University of Geosciences (Wuhan) Wuhan China

2. Artificial Intelligence School Wuchang University of Technology Wuhan China

3. Interdisciplinary Centre for Water Research Indian Institute of Science Bangalore India

4. Centre for Earth Science Indian Institute of Science Bangalore India

5. School of Geospatial Engineering and Science Sun Yat‐Sen University Zhuhai China

Abstract

AbstractAssessing changes in freshwater availability accurately is crucial for societal development. Previous studies have examined long‐term variations in basin‐scale terrestrial water storage (TWS) using Gravity Recovery and Climate Experiment (GRACE) mission data. However, different basins exhibit distinct spatial and temporal TWS variation patterns. To better interpret the TWS trends in each basin during the GRACE era (2003–2016), this study proposes a novel criterion based on a century‐long GRACE‐REC data set. This criterion assesses the trends in GRACE TWS (TrendG), precipitation‐induced trends (TrendPI), and non‐precipitation‐induced trends (TrendNPI) over the GRACE period. By calculating upper and lower bound values for long‐term climate‐driven TWS trends using GRACE‐REC data, an indicator is provided to evaluate the range of TWS trend variations in a basin under natural conditions. Results reveal that among the 266 global basins analyzed in this study, the trends (TrendG, TrendPI, or TrendNPI) in 115 basins exceed the maximum or minimum water storage trends associated with natural climate variability. This includes 20 large basins, 34 medium basins, and 61 small basins, indicating significant TWS changes during the GRACE period. Furthermore, we analyze the driving mechanisms of TWS trends in the 20 large basins using multi‐source data. The mechanisms identified through this method align well with both our analysis and previous studies, confirming the reliability of this approach for assessing TWS trends.

Funder

State Key Laboratory of Remote Sensing Science

Science Fund for Distinguished Young Scholars of Hubei Province

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3