Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
A framework was developed for the continental assimilation of satellite soil moisture (SM) into an operational water balance modelling system. The ensemble Kalman filter (EnKF) was implemented to assimilate AMSR-E and ASCAT-derived SM products into the landscape model of the Australian Water Resources Assessment system (AWRA-L) and generate ensembles of daily top-layer and shallow root-zone soil moisture analyses for the continent at 0.05° resolution. We evaluated the AWRA-L SM estimates with...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Hydrology|
|01_Renzullo_Continental_satellite_soil_2014.pdf||2.95 MB||Adobe PDF||Request a copy|
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