Remotely sensed data are often used as prox-ies 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 re-quire (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 Alti-plano to generate downscaled rainfall fields that are relevant at an agricultural scale (spatial resolution∼1 km).
DOI:
http://dx.doi.org/10.5194/npg-22-383-2015Altmetric score:
Dimensions Citation Count:
Publication year
2015
Authors
Posadas, A.; Duffaut, E.L.A.; Yarlequz, C.; Carbajal, M.; Heidinger, H.; Carvalho, L.; Jones, C.; Quiroz, R.
Keywords
Rain, Smallholder, Rainfall, Precipitation, Rainfall
