 |
| Titel |
Spatial random downscaling of rainfall signals in Andean heterogeneous terrain |
| VerfasserIn |
A. Posadas, L. A. Duffaut Espinosa, C. Yarlequé, M. Carbajal, H. Heidinger, L. Carvalho, C. Jones, R. Quiroz |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1023-5809
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 22, no. 4 ; Nr. 22, no. 4 (2015-07-16), S.383-402 |
| Datensatznummer |
250120989
|
| Publikation (Nr.) |
 copernicus.org/npg-22-383-2015.pdf |
|
|
|
|
|
| Zusammenfassung |
| 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 \textit{Altiplano}
to generate downscaled rainfall fields that are relevant at an agricultural
scale (spatial resolution ~ 1 km). |
| |
|
| Teil von |
|
|
|
|
|
|
|
|