Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products

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• 作者：Ning Nie ; Wanchang Zhang ; Zhijie Zhang ; Huadong Guo…
• 关键词：Terrestrial water storage change ; Amazon Basin ; GRACE ; GLDAS ; El Niño ; Southern Oscillation
• 刊名：Water Resources Management
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：30
• 期：1
• 页码：279-294
• 全文大小：4,370 KB
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• 作者单位：Ning Nie (1) (2)
  Wanchang Zhang (2)
  Zhijie Zhang (3)
  Huadong Guo (2)
  Natarajan Ishwaran (4)
  
  1. State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China
  2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China
  3. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
  4. International Centre on Space Technologies for National and Cultural Heritage under the Auspices of UNESCO, Chinese Academy of Sciences and UNESCO, Beijing, 100094, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geotechnical Engineering
  Meteorology and Climatology
  Civil Engineering
  Environment
  
• 出版者：Springer Netherlands
• ISSN：1573-1650

文摘

Terrestrial water storage (TWS) is a very important component governing global changes. TWS change (ΔTWS) can only be estimated by hydrological modeling before 2002 when the Gravity Recovery and Climate Experiment (GRACE) space mission provided a highly valuable data set that allows studying of ΔTWS over large river basins worldwide since then. The lifetime of GRACE, however, is still too short to meet the needs for studying long term variability of ΔTWS during the past decades. In this paper, we reconstructed monthly and annual ΔTWS time series over the Amazon Basin in the past 65 years by use of GRACE-based TWS anomaly (TWSA) data and the Global Land Data Assimilation System (GLDAS) products. The rationality of the reconstructed annual ΔTWS time series was indirectly evaluated by examining the historic coherence between ΔTWS and El Niño-Southern Oscillation under conditions of poor availability of in situ observation data and lack of reference work published in Amazon Basin. These datasets offer a unique opportunity for understanding the varying characteristics of ΔTWS in the Amazon during the past 65 years. Besides improving our knowledge of long-term water resource variations in this large river basin, these reconstructed datasets not only contribute to droughts monitoring, but also provide a new perspective for understanding water resource variations in other big river basins.