Conference Proceedings
Can assimilating remotely-sensed surface soil moisture data improve root-zone soil moisture predictions in the CABLE land surface model?
RC Pipunic, KA McColl, D Ryu, JP Walker
Modsim 2011 19th International Congress on Modelling and Simulation Sustaining Our Future Understanding and Living with Uncertainty | MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC | Published : 2011
Abstract
The ability to quantify soil moisture content over depths including the root zone is important for predicting key hydrological processes for a range of applications in agriculture, emergency planning, and weather prediction. Remote-sensing provides a large amount of spatially distributed information related to water balance quantities. This includes brightness temperature data from passive microwave sensors such as the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), which is used to estimate surface soil moisture content. Such observations can add valuable information to hydrologic/land surface modelling when combined using data assimilation techniques. Howeve..
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