s:1314:"TI Spatial random downscaling of rainfall signals in Andean heterogeneous terrain 
AU Posadas, A. 
AU Duffaut, E.L.A. 
AU Yarlequz, C. 
AU Carbajal, M. 
AU Heidinger, H. 
AU Carvalho, L. 
AU Jones, C. 
AU Quiroz, R. 
AB 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). 
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