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REMOTE SENSING DATA ASSIMILATION IN WATER QUALITY NUMERICAL MODELS FOR SIMULATION OF WATER COLUMN TEMPERATURE
data assimilation numerical model water temperature
2015/1/16
Numerical models are important tools for simulating processes within complex natural systems, such as hydrodynamics and water quality processes within a water body. From decision makers’ perspectives,...
Improving runoff prediction through the assimilation of the ASCAT soil moisture product
Improving runoff prediction the ASCAT soil moisture product
2010/12/22
The role and the importance of soil moisture for meteorological, agricultural and hydrological applications is widely known. Remote sensing offers the unique capability to monitor soil moisture over l...
A Bayesian spatial assimilation scheme for snow coverage observations in a gridded snow model
Bayesian spatial assimilation scheme snow coverage area precipitation-runoff model snow depletion curve
2009/5/13
A method for assimilating remotely sensed snow covered area (SCA) into the snow subroutine of a grid distributed precipitation-runoff model (PRM) is presented. The PRM is assumed to simulate the snow...
A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals
soil moisture retrievals sub-surface flow
2009/4/24
A number of recent studies have focused on enhancing runoff prediction via the assimilation of remotely-sensed surface soil moisture retrievals into a hydrologic model. The majority of these approache...