Calibration of a semi-distributed hydrological model using discharge and remote sensing data
The objective of this study is to present an approach to calibrate a semi-distributed hydrological model using observed streamflow data and actual evapotranspiration time series estimates based on remote sensing data. First, daily actual evapotranspiration is estimated using available MODIS satellit...
| Autores principales: | , , , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
2009
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/38593 |
| _version_ | 1855536362356211712 |
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| author | Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din |
| author_browse | Ahmad, Mobin-ud-Din Booij, M.J. Bos, M.G. Gieske, A.S. M. Muthuwatta, Lal P. Rientjes, T.H.M. |
| author_facet | Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din |
| author_sort | Muthuwatta, Lal P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The objective of this study is to present an approach to calibrate a semi-distributed hydrological model using observed streamflow data and actual evapotranspiration time series estimates based on remote sensing data. First, daily actual evapotranspiration is estimated using available MODIS satellite data, routinely collected meteorological data and applying the SEBS algorithm. Second, the semi-distributed hydrological model HBV is calibrated and validated using the estimated evapotranspiration and observed discharge. This is done for multiple sub-basins of the Karkheh River basin in Iran. The Nash-Sutcliffe coefficient (NS) is calculated for each sub-basin. Maximum and minimum NS values for the calibration using observed discharge are 0.81 and 0.23, respectively, and using estimated evapotranspiration 0.61 and 0.46, respectively. The comparison of model simulations with multiple observed variables increases the probability of selecting a parameter set that represents the actual hydrological situation of the basin. The new calibration approach can be useful for further applications especially in data sparse river basins. |
| format | Conference Paper |
| id | CGSpace38593 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| record_format | dspace |
| spelling | CGSpace385932023-06-08T20:25:38Z Calibration of a semi-distributed hydrological model using discharge and remote sensing data Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis The objective of this study is to present an approach to calibrate a semi-distributed hydrological model using observed streamflow data and actual evapotranspiration time series estimates based on remote sensing data. First, daily actual evapotranspiration is estimated using available MODIS satellite data, routinely collected meteorological data and applying the SEBS algorithm. Second, the semi-distributed hydrological model HBV is calibrated and validated using the estimated evapotranspiration and observed discharge. This is done for multiple sub-basins of the Karkheh River basin in Iran. The Nash-Sutcliffe coefficient (NS) is calculated for each sub-basin. Maximum and minimum NS values for the calibration using observed discharge are 0.81 and 0.23, respectively, and using estimated evapotranspiration 0.61 and 0.46, respectively. The comparison of model simulations with multiple observed variables increases the probability of selecting a parameter set that represents the actual hydrological situation of the basin. The new calibration approach can be useful for further applications especially in data sparse river basins. 2009 2014-06-13T11:42:29Z 2014-06-13T11:42:29Z Conference Paper https://hdl.handle.net/10568/38593 en Limited Access Muthuwatta, Lal P.; Booij, M. J.; Rientjes, T. H. M.; Bos, M. G.; Gieske, A. S. M.; Ahmad, Mobin-ud-Din. 2009. Calibration of a semi-distributed hydrological model using discharge and remote sensing data. In Yilmaz, K. K.; Yucel, I.; Gupta, H. V.; Wagener, T.; Yang, D.; Savenije, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.). New approaches to hydrological prediction in data-sparse regions: proceedings of Symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). pp.52-58. (IAHS Publication 333) |
| spellingShingle | hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis Muthuwatta, Lal P. Booij, M.J. Rientjes, T.H.M. Bos, M.G. Gieske, A.S. M. Ahmad, Mobin-ud-Din Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
| title | Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
| title_full | Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
| title_fullStr | Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
| title_full_unstemmed | Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
| title_short | Calibration of a semi-distributed hydrological model using discharge and remote sensing data |
| title_sort | calibration of a semi distributed hydrological model using discharge and remote sensing data |
| topic | hydrology models calibration stream flow evapotranspiration simulation discharges remote sensing rivers catchment areas time series analysis |
| url | https://hdl.handle.net/10568/38593 |
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