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CSDownscale: an R package for statistical downscaling

Authors: Ramón, Jaume; Lledó, Llorenç; Palma, Lluís; Delgado-Torres, Carlos; Marcos, Raül;

CSDownscale: an R package for statistical downscaling

Abstract

Downscaling is any procedure to infer highresolution information from low-resolution variables. Many of these techniques have been defined and applied to climate predictions, which suffer from important biases due to the coarse global grids in which they are delivered. To help solve this undesirable issue, the R package resulting from this work provides a set of statistical downscaling methods for climate predictions, ready to be applied to refine the output of climate predictions.

Country
Spain
Keywords

Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, R programming language, downscaling, climate predictions, High performance computing, Càlcul intensiu (Informàtica)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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