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New Publication: Optimal Exploitation of AMSR-E Signals for Improving Soil Moisture Estimation Through Land Data Assimilation


AUTHORS: Zhao, L., K. Yang, J. Qin, and Y. Chen

J. INFO: 2013, IEEE Trans. Geosci. Remote Sens., 51(1), 399-410, doi:10.1109/TGRS.2012.2198483.

This study presents several sensitivity studies on the assimilating of different microwave signals into a dual-pass land data assimilation system to improve near-surface soil moisture estimation. Investigated are different polarizations, over pass time, and frequency combinations of AMSR-E brightness temperatures. Results shows that the vertically polarized, nighttime signals are the optimal choice in current system. In addition, a simple frequency-based ensamble estimation can produce more robust estimate when using different forcing data.

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