Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
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Renzullo, Luigi J; Van Dijk, Albert; Perraud, J-M; Collins, D; Henderson, B.; Jin, H.; Smith, A.B.; McJannet, Dave
Description
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 |
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Date published: | 2014 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/59198 |
Source: | Journal of Hydrology |
DOI: | 10.1016/j.jhydrol.2014.08.008 |
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01_Renzullo_Continental_satellite_soil_2014.pdf | 2.95 MB | Adobe PDF | Request a copy |
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