Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin
Recently water resources reanalysis (WRR) global streamflow products are emerging from high- resolution global models as a means to provide long and consistent global streamflow products for assessment of global challenge such as climate change. Like any other products, the newly developed global st...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2021-03-01
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| Series: | Journal of Hydrology and Hydromechanics |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/johh-2020-0040 |
| _version_ | 1828734230482386944 |
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| author | Lakew Haileyesus Belay Moges Semu Ayalew |
| author_facet | Lakew Haileyesus Belay Moges Semu Ayalew |
| author_sort | Lakew Haileyesus Belay |
| collection | DOAJ |
| description | Recently water resources reanalysis (WRR) global streamflow products are emerging from high- resolution global models as a means to provide long and consistent global streamflow products for assessment of global challenge such as climate change. Like any other products, the newly developed global streamflow products have limitations accurately represent the dynamics of local streamflow hydrographs. There is a need to locally evaluate and apply correction factors for better representation and make use of the data. This research focuses on the evaluation and correction of the bias embedded in the global streamflow product (WRR, 0.25°) developed by WaterGAP3 hydrological model in the upper Blue Nile basin part of Ethiopia. Three spatiotemporal dynamical bias correction schemes (temporal-spatial variable, temporal-spatial constant and spatial variable) tested in twelve watersheds of the basin. The temporal-spatial variable dynamical bias correction scheme significantly improves the streamflow estimation. The Nash-Sutcliffe coefficient (NSCE) improves by 30% and bias decreases by 19% for the twelve streamflow gauging stations applying leave one out cross-validation approach in turn. Therefore, the temporal-spatial variable scheme is applicable and can use as one method for the bias correction to use the global data for local applications in the upper Blue Nile basin. |
| first_indexed | 2024-04-12T22:44:30Z |
| format | Article |
| id | doaj.art-2790342248244321b142f7cd24a74894 |
| institution | Directory Open Access Journal |
| issn | 0042-790X |
| language | English |
| last_indexed | 2024-04-12T22:44:30Z |
| publishDate | 2021-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Hydrology and Hydromechanics |
| spelling | doaj.art-2790342248244321b142f7cd24a748942022-12-22T03:13:35ZengSciendoJournal of Hydrology and Hydromechanics0042-790X2021-03-01691414810.2478/johh-2020-0040Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basinLakew Haileyesus Belay0Moges Semu Ayalew1Ethiopian Space Science and Technology Institute, Addis Ababa, Ethiopia.Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA.Recently water resources reanalysis (WRR) global streamflow products are emerging from high- resolution global models as a means to provide long and consistent global streamflow products for assessment of global challenge such as climate change. Like any other products, the newly developed global streamflow products have limitations accurately represent the dynamics of local streamflow hydrographs. There is a need to locally evaluate and apply correction factors for better representation and make use of the data. This research focuses on the evaluation and correction of the bias embedded in the global streamflow product (WRR, 0.25°) developed by WaterGAP3 hydrological model in the upper Blue Nile basin part of Ethiopia. Three spatiotemporal dynamical bias correction schemes (temporal-spatial variable, temporal-spatial constant and spatial variable) tested in twelve watersheds of the basin. The temporal-spatial variable dynamical bias correction scheme significantly improves the streamflow estimation. The Nash-Sutcliffe coefficient (NSCE) improves by 30% and bias decreases by 19% for the twelve streamflow gauging stations applying leave one out cross-validation approach in turn. Therefore, the temporal-spatial variable scheme is applicable and can use as one method for the bias correction to use the global data for local applications in the upper Blue Nile basin.https://doi.org/10.2478/johh-2020-0040blue nilewatergap3bias correctionwater resource reanalysis |
| spellingShingle | Lakew Haileyesus Belay Moges Semu Ayalew Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin Journal of Hydrology and Hydromechanics blue nile watergap3 bias correction water resource reanalysis |
| title | Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin |
| title_full | Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin |
| title_fullStr | Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin |
| title_full_unstemmed | Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin |
| title_short | Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin |
| title_sort | dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the upper blue nile basin |
| topic | blue nile watergap3 bias correction water resource reanalysis |
| url | https://doi.org/10.2478/johh-2020-0040 |
| work_keys_str_mv | AT lakewhaileyesusbelay dynamicalbiascorrectionproceduretoimproveglobalgriddeddailystreamflowdataforlocalapplicationintheupperbluenilebasin AT mogessemuayalew dynamicalbiascorrectionproceduretoimproveglobalgriddeddailystreamflowdataforlocalapplicationintheupperbluenilebasin |