Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia
The actual accuracy of satellite rainfall products is often unknown due to the limitation of raingauge networks. We evaluated the effect of gauge representativeness error on evaluation of rainfall estimates from the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) rainfall pro...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/108664 |
| _version_ | 1855523368650932224 |
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| author | Tessema, K. B. Haile, Alemseged Tamiru Amencho, N.W. Habib, E. |
| author_browse | Amencho, N.W. Habib, E. Haile, Alemseged Tamiru Tessema, K. B. |
| author_facet | Tessema, K. B. Haile, Alemseged Tamiru Amencho, N.W. Habib, E. |
| author_sort | Tessema, K. B. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The actual accuracy of satellite rainfall products is often unknown due to the limitation of raingauge networks. We evaluated the effect of gauge representativeness error on evaluation of rainfall estimates from the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) rainfall product. The reference data were collected using an experimental raingauge network within a small watershed of 1690 ha, which is comparable to the CHIRPS resolution. The study applied a total bias approach, decomposed into hit, missed and false biases, and an error-variance separation method to evaluate gauge representativeness error at the scale of CHIRPS pixel size, as well as modeled the spatial correlation field of daily rainfall with a three-parametric exponential model. The results indicate that the gauge representativeness error is still too large to ignore in evaluating satellite rainfall. However, it is significantly affected by sample size and caution should be exercised when the rainfall data has a small sample size. |
| format | Journal Article |
| id | CGSpace108664 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace1086642024-05-01T08:16:57Z Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia Tessema, K. B. Haile, Alemseged Tamiru Amencho, N.W. Habib, E. rainfall patterns rain gauges satellites weather data evaluation watersheds highlands precipitation observation estimation meteorological stations models The actual accuracy of satellite rainfall products is often unknown due to the limitation of raingauge networks. We evaluated the effect of gauge representativeness error on evaluation of rainfall estimates from the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) rainfall product. The reference data were collected using an experimental raingauge network within a small watershed of 1690 ha, which is comparable to the CHIRPS resolution. The study applied a total bias approach, decomposed into hit, missed and false biases, and an error-variance separation method to evaluate gauge representativeness error at the scale of CHIRPS pixel size, as well as modeled the spatial correlation field of daily rainfall with a three-parametric exponential model. The results indicate that the gauge representativeness error is still too large to ignore in evaluating satellite rainfall. However, it is significantly affected by sample size and caution should be exercised when the rainfall data has a small sample size. 2022-12-10 2020-07-03T08:50:49Z 2020-07-03T08:50:49Z Journal Article https://hdl.handle.net/10568/108664 en Limited Access Informa UK Limited Tessema, K. B.; Haile, Alemseged Tamiru; Amencho, N. W.; Habib, E. 2022. Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia. Hydrological Sciences Journal, 67(16):2490-2504. (Special issue: Hydrological Data: Opportunities and Barriers) [doi: https://doi.org/10.1080/02626667.2020.1770766] |
| spellingShingle | rainfall patterns rain gauges satellites weather data evaluation watersheds highlands precipitation observation estimation meteorological stations models Tessema, K. B. Haile, Alemseged Tamiru Amencho, N.W. Habib, E. Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia |
| title | Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia |
| title_full | Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia |
| title_fullStr | Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia |
| title_full_unstemmed | Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia |
| title_short | Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia |
| title_sort | effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern ethiopia |
| topic | rainfall patterns rain gauges satellites weather data evaluation watersheds highlands precipitation observation estimation meteorological stations models |
| url | https://hdl.handle.net/10568/108664 |
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