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研究进展- Evaluation of Remotely Sensed and Reanalysis Soil Moisture Against In Situ Observations on the Himalayan-Tibetan Plateau
发布时间: 2018-08-10  

Qiang Zhang, Keke Fan, Vijay P. Singh, Peng Sun, Peijun Shi

[Qiang Zhang, Keke Fan, Peijun Shi]. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China.

[Qiang Zhang, Keke Fan, Peijun Shi]. Faculty of Geographical Science, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China.

[Qiang Zhang, Keke Fan, Peijun Shi]. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.

[Peng Sun]. College of Territory Resources and Tourism, Anhui Normal University, Anhui 241000, China

[Vijay P. Singh]. Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas, USA.

 

Abstract: This study collected soil moisture (SM) observations from 100 in situ observations and compared them with widely used SM estimations, derived from the Essential Climate Variables, European Reanalysis (ERA)-Interim, the Modern-Era Retrospective analysis for Research and Applications, and Noah at spatial resolutions of 0.25° × 0.25°, 0.5° × 0.5°, and 1° × 1° during unfreezing and freezing periods. Results indicate that all estimations except ERA can depict the SM changes on the Himalayan-Tibetan Plateau (HTP) well to some extent and Noah performs the best as a whole. In the Ngari region, however, SM estimations substantially overestimate SM observations. In the Naqu region, except ERA, SM estimations overestimate the SM amount during freezing periods but underestimate the SM amount during unfreezing periods. In Maqu, except ERA, SM estimations can characterize SM variations with substantial underestimation of SM during unfreezing periods, however, slight underestimation of SM during freezing periods. In space, the Modern-Era Retrospective analysis for Research and Applications and Noah can evaluate the spatial distribution of SM better. The SM changes across most parts of the HTP are heavily influenced by precipitation changes. In addition, these changes in the western flank of the HTP are the combined result of snow and glacial melting and precipitation. Except in the western and northern regions, SM during unfreezing periods is usually higher than during freezing periods. Besides, evaluations can better describe SM changes at medium and large spatial scales than at small spatial scales. This study provides important basis for the selection of proper remote sensing and reanalysis SM data sets for the analysis of SM on the HTP.

 

Published in Journal of Geophysical Research-Atmosphere, 2018, 123, https://doi.org/10.1029/2017JD027763.


 
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