Spatial random downscaling of rainfall signals in Andean heterogeneous terrain
Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. Although this information might be appropriate for some research requirements, the extent at which local sites could be related to such informatio...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Copernicus GmbH
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/68853 |
| _version_ | 1855524992734724096 |
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| author | Posadas, A. Duffaut Espinoza, L.A. Yarleque, C. Carbajal, M. Heidinger, Haline Carvalho, L. Jones, C. Quiróz, R. |
| author_browse | Carbajal, M. Carvalho, L. Duffaut Espinoza, L.A. Heidinger, Haline Jones, C. Posadas, A. Quiróz, R. Yarleque, C. |
| author_facet | Posadas, A. Duffaut Espinoza, L.A. Yarleque, C. Carbajal, M. Heidinger, Haline Carvalho, L. Jones, C. Quiróz, R. |
| author_sort | Posadas, A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. Although this information might be appropriate for some research requirements, the extent at which local sites could be related to such information is very limited because of the resolution of the available satellite data. Downscaling techniques are used to bridge the gap between what climate modelers (global and regional) are able to provide and what decision-makers require (local). Precipitation downscaling improves the poor local representation of satellite data and helps end-users acquire more accurate estimates of water availability. Thus, a multifractal downscaling technique complemented by a heterogeneity filter was applied to TRMM (Tropical Rainfall Measuring Mission) 3B42 gridded data (spatial resolution ~ 28 km) from the Peruvian Andean high plateau or Altiplano to generate downscaled rainfall fields that are relevant at an agricultural scale (spatial resolution ~ 1 km). |
| format | Journal Article |
| id | CGSpace68853 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Copernicus GmbH |
| publisherStr | Copernicus GmbH |
| record_format | dspace |
| spelling | CGSpace688532025-11-06T14:05:43Z Spatial random downscaling of rainfall signals in Andean heterogeneous terrain Posadas, A. Duffaut Espinoza, L.A. Yarleque, C. Carbajal, M. Heidinger, Haline Carvalho, L. Jones, C. Quiróz, R. rain models Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. Although this information might be appropriate for some research requirements, the extent at which local sites could be related to such information is very limited because of the resolution of the available satellite data. Downscaling techniques are used to bridge the gap between what climate modelers (global and regional) are able to provide and what decision-makers require (local). Precipitation downscaling improves the poor local representation of satellite data and helps end-users acquire more accurate estimates of water availability. Thus, a multifractal downscaling technique complemented by a heterogeneity filter was applied to TRMM (Tropical Rainfall Measuring Mission) 3B42 gridded data (spatial resolution ~ 28 km) from the Peruvian Andean high plateau or Altiplano to generate downscaled rainfall fields that are relevant at an agricultural scale (spatial resolution ~ 1 km). 2015-07-16 2015-11-06T16:11:39Z 2015-11-06T16:11:39Z Journal Article https://hdl.handle.net/10568/68853 en Open Access application/pdf Copernicus GmbH Posadas, A.; Duffaut Espinoza, L.A.; Yarleque, C.; Carbajal, M.; Heidinger, H.; Carvalho, L.; Jones, C.; Quiroz, R. 2015. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain. Nonlinear Processes in Geophysics. (Germany). ISSN 1023-5809. 22(4):383-402. |
| spellingShingle | rain models Posadas, A. Duffaut Espinoza, L.A. Yarleque, C. Carbajal, M. Heidinger, Haline Carvalho, L. Jones, C. Quiróz, R. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| title | Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| title_full | Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| title_fullStr | Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| title_full_unstemmed | Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| title_short | Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| title_sort | spatial random downscaling of rainfall signals in andean heterogeneous terrain |
| topic | rain models |
| url | https://hdl.handle.net/10568/68853 |
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