Continuity of terrestrial water storage variability and trends across mainland China monitored by the GRACE and GRACE-Follow on satellites

中国大陆 环境科学 中国 气候学 地理 气象学 地质学 考古
作者
Jinghua Xiong,Jiabo Yin,Shenglian Guo,Louise Slater
出处
期刊:Journal of Hydrology [Elsevier]
卷期号:599: 126308-126308 被引量:38
标识
DOI:10.1016/j.jhydrol.2021.126308
摘要

Terrestrial water storage (TWS) plays an important role in the global water cycle. Measuring dynamic changes in TWS is essential for water resources management, weather-related hazard monitoring and agricultural production. The Gravity Recovery and Climate Experiment (GRACE) and its following mission (GRACE-Follow on) have provided monthly terrestrial water storage anomalies (TWSA) at a quasi-global scale since April 2002. This study bridges the data gap between the two generations of satellites using Random Forest (RF), Support Vector Machine (SVM) and Artificial Neural Network models over mainland China. We systematically examine the spatiotemporal continuity of GRACE and GRACE-Follow on missions based on the spherical harmonics (SH) and mass concentration blocks (mascons) solutions as well as GLDAS-Noah data across mainland China during 2002–2020. Results show that the GRACE-Follow on data of CSR SH/CSR mascons reduces the uncertainty of TWSA in China from 5.26/6.96 to 3.83/4.65 mm/month, respectively. ML-predicted TWSA fits well with in-situ observations during the gap between GRACE and GRACE-Follow on satellites. Modeled TWSA also shows continuity between GRACE and GRACE-Follow on satellites. During the period 2002–2020, reconstructed TWSA significantly decreased from − 0.03 mm/a to − 1.06 mm/a (p < 0.05) with spatial heterogeneity for the whole of China. In many areas of China, TWSA increased rapidly in the range of 5–15 mm/a (p < 0.05), while north and southwest China experienced a decrease between − 5 and − 25 mm/a (p < 0.05). This study provides bridged GRACE data and reveals the variability of TWSA in mainland China, which may contribute to a better understanding of climate change and water resources management.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
孤独收割人完成签到,获得积分10
1秒前
星辰坠于海应助丰盛的煎饼采纳,获得666
3秒前
Upupcc发布了新的文献求助10
5秒前
5秒前
勤劳落雁发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
7秒前
7秒前
周周发布了新的文献求助10
7秒前
8秒前
科研通AI5应助解青文采纳,获得10
8秒前
科研通AI5应助魏伯安采纳,获得30
8秒前
nekoneko完成签到,获得积分10
11秒前
11秒前
12秒前
帅关发布了新的文献求助10
12秒前
yyyyy语言发布了新的文献求助10
13秒前
asheng98完成签到 ,获得积分10
14秒前
Chen完成签到,获得积分10
14秒前
慕青应助guajiguaji采纳,获得10
15秒前
圣晟胜发布了新的文献求助10
16秒前
16秒前
16秒前
不会失忆完成签到,获得积分10
18秒前
思源应助路边一颗小草采纳,获得10
18秒前
上官若男应助帅关采纳,获得10
19秒前
qin完成签到,获得积分10
20秒前
20秒前
流浪小诗人完成签到,获得积分10
20秒前
22秒前
知性的觅露完成签到,获得积分10
22秒前
朱湋帆完成签到 ,获得积分10
22秒前
devil发布了新的文献求助10
23秒前
乐乐应助咸鱼一号采纳,获得10
24秒前
26秒前
youjiang完成签到,获得积分10
26秒前
devil完成签到,获得积分10
26秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3528020
求助须知:如何正确求助?哪些是违规求助? 3108260
关于积分的说明 9288139
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540202
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849