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.[VIEW IN PUBLICATIONS PAGE][PDF FILE]