Satellite characterization of terrestrial drought over Xinjiang Uygur Autonomous Region of China over past three decades

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• 作者：Yuhu Zhang ; Yunjun Yao ; Yi Lin ; Liu Xiang
• 关键词：Drought monitoring ; Evapotranspiration ; Evaporative wet index ; Xinjiang Uygur Autonomous Region
• 刊名：Environmental Earth Sciences
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：75
• 期：6
• 全文大小：2,556 KB
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• 作者单位：Yuhu Zhang (1)
  Yunjun Yao (2)
  Yi Lin (3)
  Liu Xiang (1)
  
  1. College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
  2. State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, 100875, China
  3. Institute of Remote Sensing and GIS, Peking University, Beijing, 100871, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：None Assigned
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-6299

文摘

Satellite-based evapotranspiration (ET) estimation plays an important role in monitoring surface drought of the Xinjiang Uygur Autonomous Region of China (XUARC) because ET is a key indicator of drought severity. In this study, the evaporative wet index (EWI) is defined as the ratio of ET to potential ET (PET) based on a satellite-based hybrid Priestley-Taylor (Hybrid-PT) algorithm driven by the Advanced Very High Resolution Radiometer (AVHRR) Normalized difference vegetation index and the interpolated gridded meteorological data at a spatial resolution of 0.05°. The estimated ET is rigorously validated with eddy covariance (EC) observations. The validation result shows that the root-mean-square error (RMSE) is 0.75 mm and the square of the correlation coefficients (R 2) for the Fukang (FK) site is more than 0.5 for the comparison between the ground-measured and estimated daily ET at the Fukang (FK) site. We found a good correspondence between their spatiotemporal patterns of both EWI and precipitation (P) anomalies. We also found that widely significant decreasing trends in EWI, ET and P appears from 1982 to 2009 in central regions of XUARC. The EWI can effectively reflect the variation in surface moisture and it has provided a favorable tool for regional drought monitoring.