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rainfarmr
View on CRAN: Click
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Download and install rainfarmr package within the R console
Install from CRAN:
install.packages("rainfarmr")
Install from Github:
library("remotes")
install_github("cran/rainfarmr") Install by package version:
library("remotes")
install_version("rainfarmr", "0.1") Attach the package and use:
library("rainfarmr")
Maintained by
Jost von Hardenberg
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-09
Latest Update: 2019-04-09
Description:
An implementation of the RainFARM (Rainfall Filtered Autoregressive Model) stochastic precipitation downscaling method (Rebora et al. (2006) ). Adapted for climate downscaling according to D'Onofrio et al. (2018) and for complex topography as in Terzago et al. (2018) . The RainFARM method is based on the extrapolation to small scales of the Fourier spectrum of a large-scale precipitation field, using a fixed logarithmic slope and random phases at small scales, followed by a nonlinear transformation of the resulting linearly correlated stochastic field. RainFARM allows to generate ensembles of spatially downscaled precipitation fields which conserve precipitation at large scales and whose statistical properties are consistent with the small-scale statistics of observed precipitation, based only on knowledge of the large-scale precipitation field.
How to cite:
Jost von Hardenberg (2019). rainfarmr: Stochastic Precipitation Downscaling with the RainFARM Method. R package version 0.1, https://cran.r-project.org/web/packages/rainfarmr. Accessed 07 Mar. 2026.
Previous versions and publish date:
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Complete documentation for rainfarmr
Functions, R codes and Examples using
the rainfarmr R package
Some associated functions: agg . downscale . fft2d . fitslope . gaussianize . initmetagauss . interpola . lon_lat_fine . mergespec . metagauss . rainfarm . remapcon . rfweights . smoothconv .
Some associated R codes: agg.R . downscale.R . fft2d.R . fitslope.R . gaussianize.R . initmetagauss.R . interpola.R . lon_lat_fine.R . mergespec.R . metagauss.R . rainfarm.R . remapcon.R . rfweights.R . smoothconv.R . Full rainfarmr package functions and examples
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