Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso
This study compares the performance of satellite precipitation products (SPPs) and soil moisture-based rainfall products (SM2RPPs) in capturing rainfall patterns in Burkina Faso, West Africa. The findings indicate that SPPs outperform SM2RPPs at daily to annual timescales. The decomposition of total...
| Autores principales: | , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/158353 |
| _version_ | 1855528315674165248 |
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| author | Yonaba, R. Belemtougri, A. Fowe, T. Mounirou, L. A. Nkiaka, E. Dembélé, Moctar Akpoti, Komlavi Coly, S. M. Koïta, M. Karambiri, H. |
| author_browse | Akpoti, Komlavi Belemtougri, A. Coly, S. M. Dembélé, Moctar Fowe, T. Karambiri, H. Koïta, M. Mounirou, L. A. Nkiaka, E. Yonaba, R. |
| author_facet | Yonaba, R. Belemtougri, A. Fowe, T. Mounirou, L. A. Nkiaka, E. Dembélé, Moctar Akpoti, Komlavi Coly, S. M. Koïta, M. Karambiri, H. |
| author_sort | Yonaba, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study compares the performance of satellite precipitation products (SPPs) and soil moisture-based rainfall products (SM2RPPs) in capturing rainfall patterns in Burkina Faso, West Africa. The findings indicate that SPPs outperform SM2RPPs at daily to annual timescales. The decomposition of total bias reveals that hit bias are dominant, but are larger in magnitude in SM2RPPs. Systematic errors are the major component of hit biases, suggesting they could be further treated through bias-correction. Wavelet analysis indicates that SPPs and SM2RPPs well capture seasonal and annual rainfall variability. All products struggle to accurately represent the most extreme rainfall indices, with SPPs performing better than SM2RPPs. For meteorological droughts, RFE2 and CHIRPS show the strongest correlations with observed SPI values across 1- to 12-month timescales. Although SM2RPPs perform less than SPPs in Burkina Faso, they appear mature for hydrometeorological applications and could further benefit from bias-correction to attain similar or better performance than SPPs. |
| format | Journal Article |
| id | CGSpace158353 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace1583532025-10-26T12:57:04Z Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso Yonaba, R. Belemtougri, A. Fowe, T. Mounirou, L. A. Nkiaka, E. Dembélé, Moctar Akpoti, Komlavi Coly, S. M. Koïta, M. Karambiri, H. rainfall patterns estimation precipitation drought climate change satellite observation spatial distribution This study compares the performance of satellite precipitation products (SPPs) and soil moisture-based rainfall products (SM2RPPs) in capturing rainfall patterns in Burkina Faso, West Africa. The findings indicate that SPPs outperform SM2RPPs at daily to annual timescales. The decomposition of total bias reveals that hit bias are dominant, but are larger in magnitude in SM2RPPs. Systematic errors are the major component of hit biases, suggesting they could be further treated through bias-correction. Wavelet analysis indicates that SPPs and SM2RPPs well capture seasonal and annual rainfall variability. All products struggle to accurately represent the most extreme rainfall indices, with SPPs performing better than SM2RPPs. For meteorological droughts, RFE2 and CHIRPS show the strongest correlations with observed SPI values across 1- to 12-month timescales. Although SM2RPPs perform less than SPPs in Burkina Faso, they appear mature for hydrometeorological applications and could further benefit from bias-correction to attain similar or better performance than SPPs. 2024-01 2024-10-31T17:33:25Z 2024-10-31T17:33:25Z Journal Article https://hdl.handle.net/10568/158353 en Open Access Informa UK Limited Yonaba, R.; Belemtougri, A.; Fowe, T.; Mounirou, L. A.; Nkiaka, E.; Dembele, Moctar; Akpoti, Komlavi; Coly, S. M.; Koïta, M.; Karambiri, H. 2024. Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso. Geocarto International, 39(1):2391956. [doi: https://doi.org/10.1080/10106049.2024.2391956] |
| spellingShingle | rainfall patterns estimation precipitation drought climate change satellite observation spatial distribution Yonaba, R. Belemtougri, A. Fowe, T. Mounirou, L. A. Nkiaka, E. Dembélé, Moctar Akpoti, Komlavi Coly, S. M. Koïta, M. Karambiri, H. Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso |
| title | Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso |
| title_full | Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso |
| title_fullStr | Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso |
| title_full_unstemmed | Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso |
| title_short | Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso |
| title_sort | rainfall estimation in the west african sahel comparison and cross validation of top down vs bottom up precipitation products in burkina faso |
| topic | rainfall patterns estimation precipitation drought climate change satellite observation spatial distribution |
| url | https://hdl.handle.net/10568/158353 |
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