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Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment

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]

CollectionsANU Research Publications
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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