Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia
This study evaluated performances of the Climate Hazard Group Infrared Precipitation with stations version 2.0 (CHIRPS v2.0) and Multi-Source Weighted-Ensemble Precipitation version 2.8 (MSWEP v2.8) products against observed data. Rainfall climatology was simulated for different agro-ecological zone...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Taylor and Francis Group
2023
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| Acceso en línea: | https://hdl.handle.net/10568/159319 |
| _version_ | 1855520202893033472 |
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| author | Aniley, Endeg Gashaw, Temesgen Abraham, Tesfalem Demessie, Sintayehu Fetene Bayabil, Haimanote Kebede Abeyou, Abeyou van Oel, Pieter R. Dile, Yihun T Chukalla, Abebe Demissie Haileslassie, Amare Belay Wubaye, Gizachew |
| author_browse | Abeyou, Abeyou Abraham, Tesfalem Aniley, Endeg Bayabil, Haimanote Kebede Belay Wubaye, Gizachew Chukalla, Abebe Demissie Demessie, Sintayehu Fetene Dile, Yihun T Gashaw, Temesgen Haileslassie, Amare van Oel, Pieter R. |
| author_facet | Aniley, Endeg Gashaw, Temesgen Abraham, Tesfalem Demessie, Sintayehu Fetene Bayabil, Haimanote Kebede Abeyou, Abeyou van Oel, Pieter R. Dile, Yihun T Chukalla, Abebe Demissie Haileslassie, Amare Belay Wubaye, Gizachew |
| author_sort | Aniley, Endeg |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study evaluated performances of the Climate Hazard Group Infrared Precipitation with stations version 2.0 (CHIRPS v2.0) and Multi-Source Weighted-Ensemble Precipitation version 2.8 (MSWEP v2.8) products against observed data. Rainfall climatology was simulated for different agro-ecological zones (AEZs) of Ethiopia during
1991–2020 at different temporal scales. Performance evaluations were made using continuous and statistical performance measures as well as Probability Density Function (PDF). CHIRPS v2.0 for estimating monthly, seasonal, and annual rainfall totals, and MSWEP v2.8 for daily rainfall have shown better performance over
all AEZs. The two products display comparable performance for detecting daily rainfall occurrences over alpine AEZ, but MSWEP v2.8 is superior in the rest four AEZs. CHIRPS v2.0 outperforms MSWEP v2.8 for detecting most of the daily rainfall intensity classes over all AEZs. The findings will play a noteworthy role to improve the quality of hydro-climate studies in Ethiopia. |
| format | Journal Article |
| id | CGSpace159319 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Taylor and Francis Group |
| publisherStr | Taylor and Francis Group |
| record_format | dspace |
| spelling | CGSpace1593192026-01-15T02:05:08Z Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia Aniley, Endeg Gashaw, Temesgen Abraham, Tesfalem Demessie, Sintayehu Fetene Bayabil, Haimanote Kebede Abeyou, Abeyou van Oel, Pieter R. Dile, Yihun T Chukalla, Abebe Demissie Haileslassie, Amare Belay Wubaye, Gizachew chirps v2.0 mswep v2.8 rainfall products This study evaluated performances of the Climate Hazard Group Infrared Precipitation with stations version 2.0 (CHIRPS v2.0) and Multi-Source Weighted-Ensemble Precipitation version 2.8 (MSWEP v2.8) products against observed data. Rainfall climatology was simulated for different agro-ecological zones (AEZs) of Ethiopia during 1991–2020 at different temporal scales. Performance evaluations were made using continuous and statistical performance measures as well as Probability Density Function (PDF). CHIRPS v2.0 for estimating monthly, seasonal, and annual rainfall totals, and MSWEP v2.8 for daily rainfall have shown better performance over all AEZs. The two products display comparable performance for detecting daily rainfall occurrences over alpine AEZ, but MSWEP v2.8 is superior in the rest four AEZs. CHIRPS v2.0 outperforms MSWEP v2.8 for detecting most of the daily rainfall intensity classes over all AEZs. The findings will play a noteworthy role to improve the quality of hydro-climate studies in Ethiopia. 2023-10-27 2024-11-06T17:35:38Z 2024-11-06T17:35:38Z Journal Article https://hdl.handle.net/10568/159319 en Open Access application/pdf Taylor and Francis Group Endeg Aniley, Temesgen Gashaw, Tesfalem Abraham, Sintayehu Fetene Demessie, Haimanote Kebede Bayabil, Abeyou Abeyou, Pieter R. van Oel, Yihun T Dile, Abebe Demissie Chukalla, Amare Haileslassie, Gizachew Belay Wubaye. (8/11/2023). Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia. Geocarto International, 38 (1). |
| spellingShingle | chirps v2.0 mswep v2.8 rainfall products Aniley, Endeg Gashaw, Temesgen Abraham, Tesfalem Demessie, Sintayehu Fetene Bayabil, Haimanote Kebede Abeyou, Abeyou van Oel, Pieter R. Dile, Yihun T Chukalla, Abebe Demissie Haileslassie, Amare Belay Wubaye, Gizachew Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia |
| title | Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia |
| title_full | Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia |
| title_fullStr | Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia |
| title_full_unstemmed | Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia |
| title_short | Evaluating the performances of gridded satellite/ reanalysis products in representing the rainfall climatology of Ethiopia |
| title_sort | evaluating the performances of gridded satellite reanalysis products in representing the rainfall climatology of ethiopia |
| topic | chirps v2.0 mswep v2.8 rainfall products |
| url | https://hdl.handle.net/10568/159319 |
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