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New Publication: Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau

(2013-05-03)

AUTHORS: Chen, Y., K. Yang, J. Qin, L. Zhao, W. Tang, and M. Han

J. INFO: 2013, J. Geophys. Res. Atmos., 118(10), 4466-4475, doi:10.1002/jgrd.50301.


In this study, four AMSR-E soil moisture products and four GLDAS land surface modeling products are evaluated against observations from the Naqu SMTMS network. None of the AMSR-E products provides reliable estimates in the unfrozen season, indicating that the retrieval algorithms have much space to be improved for the cold semi-arid regions. The four GLDAS models tend to systematically underestimate the surface soil moisture, which can be attributed to the absence of soil organic carbon induced stratification of soil properties in the land surface models.

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