TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis
Quantifying rainfall from remotely sensed data is crucial for regions where meteorological stations are scarce. This might be one of the only options for analysing rainfall patterns at different temporal and spatial scales in data-scarce environments, particularly in developing countries. The Tropic...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2012
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/35860 |
| _version_ | 1855514047513886720 |
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| author | Heidinger, Haline Yarleque, C. Posadas, A. Quiróz, R. |
| author_browse | Heidinger, Haline Posadas, A. Quiróz, R. Yarleque, C. |
| author_facet | Heidinger, Haline Yarleque, C. Posadas, A. Quiróz, R. |
| author_sort | Heidinger, Haline |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Quantifying rainfall from remotely sensed data is crucial for regions where meteorological stations are scarce. This might be one of the only options for analysing rainfall patterns at different temporal and spatial scales in data-scarce environments, particularly in developing countries. The Tropical Rainfall Measuring Mission (TRMM) provides rainfall estimation over the tropics. Rainfall estimates from the TRMM satellite exhibit inaccuracies over topographically complex regions, thus warranting suitable corrections. Multi-resolution analysis (MRA) was applied to improve TRMM 3B42 daily rainfall estimation at 19 meteorological stations located over the Andean Plateau. The detailed signal from each meteorological station was added to the trend signal of each TRMM data cell. Comparing raw and corrected TRMM with gauged rainfall revealed that wavelet-based correction of TRMM 3B42 on average improved several metrics: entropy difference (15.45−1.32), determination coefficient (0.07−0.92), bias (0.68−1.01) and relative mean absolute error (RMAE, 0.86−0.59). The entropy difference of corrected TRMM and gauged rainfall was less than 5%, even when TRMM correction was performed with noise from a station located up to 565 km away from the TRMM cell. This entropy difference corresponded to an average bias of less than 10% in the rainfall estimation. |
| format | Journal Article |
| id | CGSpace35860 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace358602023-09-08T10:07:15Z TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis Heidinger, Haline Yarleque, C. Posadas, A. Quiróz, R. agriculture climate rainfall rainfall patterns Quantifying rainfall from remotely sensed data is crucial for regions where meteorological stations are scarce. This might be one of the only options for analysing rainfall patterns at different temporal and spatial scales in data-scarce environments, particularly in developing countries. The Tropical Rainfall Measuring Mission (TRMM) provides rainfall estimation over the tropics. Rainfall estimates from the TRMM satellite exhibit inaccuracies over topographically complex regions, thus warranting suitable corrections. Multi-resolution analysis (MRA) was applied to improve TRMM 3B42 daily rainfall estimation at 19 meteorological stations located over the Andean Plateau. The detailed signal from each meteorological station was added to the trend signal of each TRMM data cell. Comparing raw and corrected TRMM with gauged rainfall revealed that wavelet-based correction of TRMM 3B42 on average improved several metrics: entropy difference (15.45−1.32), determination coefficient (0.07−0.92), bias (0.68−1.01) and relative mean absolute error (RMAE, 0.86−0.59). The entropy difference of corrected TRMM and gauged rainfall was less than 5%, even when TRMM correction was performed with noise from a station located up to 565 km away from the TRMM cell. This entropy difference corresponded to an average bias of less than 10% in the rainfall estimation. 2012-07-20 2014-06-11T06:34:06Z 2014-06-11T06:34:06Z Journal Article https://hdl.handle.net/10568/35860 en Limited Access Informa UK Limited Heidinger H, Yarlequé C, Posadas A, Quiroz R. 2012. TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis. International Journal of Remote Sensing 33(14):4583-4602. |
| spellingShingle | agriculture climate rainfall rainfall patterns Heidinger, Haline Yarleque, C. Posadas, A. Quiróz, R. TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis |
| title | TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis |
| title_full | TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis |
| title_fullStr | TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis |
| title_full_unstemmed | TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis |
| title_short | TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis |
| title_sort | trmm rainfall correction over the andean plateau using wavelet multi resolution analysis |
| topic | agriculture climate rainfall rainfall patterns |
| url | https://hdl.handle.net/10568/35860 |
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