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Comparison of soil moisture in GLDAS model simulations and satellite observations over the Murray Darling Basin

Liu, Yi Y.; McCabe, Matthew F.; Evans, Jason; Van Dijk, Albert; de Jeu, Richard A.M.; Su, H.


Soil moisture is a key hydrometeorological variable that can be derived from both modeling simulations and satellite observations. This study compares Global Land Data Assimilation System (GLDAS) output over the Murray Darling Basin against retrievals from a newly developed remote sensing product using the AMSR-E sensor onboard NASA's Aqua satellite. GLDAS is comprised of a number of land surface models, two of which include the Community Land Model (CLM) and NOAH land surface scheme, which...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
Source: 18th World IMACS Congress and MODSIM09 Proceedings International Congress on Modelling and Simulation. Cairns, Australia from 13–17 July 2009


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