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dc.contributor.authorKhaki, Mehdi
dc.contributor.supervisorAssoc. Prof. Michael Kuhnen_US

With a growing number of available datasets especially from satellite remote sensing, there is a great opportunity to improve our knowledge of hydrological processes by integrating them with hydrological models. In this regard, data assimilation technique can be used to constrain the dynamic of a model with available observations in order to improve its estimates. In this thesis, a comprehensive data assimilation framework containing multiple stages is proposed and tested over various areas.

dc.publisherCurtin Universityen_US
dc.titleIntegration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputsen_US
curtin.departmentSchool of Earth and Planetary Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US

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