Using the Climate Forecast System Reanalysis as weather input data for watershed models
Obtaining representative meteorological data for watershed-scale hydrological modelling can be difficult and time consuming. Land-based weather stations do not always adequately represent the weather occurring over a watershed, because they can be far from the watershed of interest and can have gaps...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2014
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/34327 |
| _version_ | 1855539361416740864 |
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| author | Fuka, D.R. Walter, M.T. MacAlister, C. Degaetano, A.T. Steenhuis, Tammo S. Easton, Z.M. |
| author_browse | Degaetano, A.T. Easton, Z.M. Fuka, D.R. MacAlister, C. Steenhuis, Tammo S. Walter, M.T. |
| author_facet | Fuka, D.R. Walter, M.T. MacAlister, C. Degaetano, A.T. Steenhuis, Tammo S. Easton, Z.M. |
| author_sort | Fuka, D.R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Obtaining representative meteorological data for watershed-scale hydrological modelling can be difficult and time consuming. Land-based weather stations do not always adequately represent the weather occurring over a watershed, because they can be far from the watershed of interest and can have gaps in their data series, or recent data are not available. This study presents a method for using the Climate Forecast System Reanalysis (CFSR) global meteorological dataset to obtain historical weather data and demonstrates the application to modelling five watersheds representing different hydroclimate regimes. CFSR data are available globally for each hour since 1979 at a 38-km resolution. Results show that utilizing the CFSR precipitation and temperature data to force a watershed model provides stream discharge simulations that are as good as or better than models forced using traditional weather gauging stations, especially when stations are more than 10 km from the watershed. These results further demonstrate that adding CFSR data to the suite of watershed modelling tools provides new opportunities for meeting the challenges of modelling un-gauged watersheds and advancing real-time hydrological modelling. |
| format | Journal Article |
| id | CGSpace34327 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace343272024-08-27T10:37:08Z Using the Climate Forecast System Reanalysis as weather input data for watershed models Fuka, D.R. Walter, M.T. MacAlister, C. Degaetano, A.T. Steenhuis, Tammo S. Easton, Z.M. water climate Obtaining representative meteorological data for watershed-scale hydrological modelling can be difficult and time consuming. Land-based weather stations do not always adequately represent the weather occurring over a watershed, because they can be far from the watershed of interest and can have gaps in their data series, or recent data are not available. This study presents a method for using the Climate Forecast System Reanalysis (CFSR) global meteorological dataset to obtain historical weather data and demonstrates the application to modelling five watersheds representing different hydroclimate regimes. CFSR data are available globally for each hour since 1979 at a 38-km resolution. Results show that utilizing the CFSR precipitation and temperature data to force a watershed model provides stream discharge simulations that are as good as or better than models forced using traditional weather gauging stations, especially when stations are more than 10 km from the watershed. These results further demonstrate that adding CFSR data to the suite of watershed modelling tools provides new opportunities for meeting the challenges of modelling un-gauged watersheds and advancing real-time hydrological modelling. 2014-10-30 2014-01-16T19:06:25Z 2014-01-16T19:06:25Z Journal Article https://hdl.handle.net/10568/34327 en Limited Access Wiley Fuka, D.R., Walter, M.T., MacAlister, C., Degaetano, A.T., Steenhuis, T.S. and Easton, Z.M. 2013. Using the Climate Forecast System Reanalysis as weather input data for watershed models. Hydrological Processes |
| spellingShingle | water climate Fuka, D.R. Walter, M.T. MacAlister, C. Degaetano, A.T. Steenhuis, Tammo S. Easton, Z.M. Using the Climate Forecast System Reanalysis as weather input data for watershed models |
| title | Using the Climate Forecast System Reanalysis as weather input data for watershed models |
| title_full | Using the Climate Forecast System Reanalysis as weather input data for watershed models |
| title_fullStr | Using the Climate Forecast System Reanalysis as weather input data for watershed models |
| title_full_unstemmed | Using the Climate Forecast System Reanalysis as weather input data for watershed models |
| title_short | Using the Climate Forecast System Reanalysis as weather input data for watershed models |
| title_sort | using the climate forecast system reanalysis as weather input data for watershed models |
| topic | water climate |
| url | https://hdl.handle.net/10568/34327 |
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