Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs
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 mo...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/70487 |
| _version_ | 1848762269289152512 |
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| author | Khaki, Mehdi |
| author_facet | Khaki, Mehdi |
| author_sort | Khaki, Mehdi |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:44:53Z |
| format | Thesis |
| id | curtin-20.500.11937-70487 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:44:53Z |
| publishDate | 2018 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-704872018-10-03T04:16:50Z Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs Khaki, Mehdi 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. 2018 Thesis http://hdl.handle.net/20.500.11937/70487 Curtin University fulltext |
| spellingShingle | Khaki, Mehdi Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs |
| title | Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs |
| title_full | Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs |
| title_fullStr | Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs |
| title_full_unstemmed | Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs |
| title_short | Integration Frameworks for Merging Satellite Remote Sensing Observations with Hydrological Model Outputs |
| title_sort | integration frameworks for merging satellite remote sensing observations with hydrological model outputs |
| url | http://hdl.handle.net/20.500.11937/70487 |