CRAN/E | rainfarmr

rainfarmr

Stochastic Precipitation Downscaling with the RainFARM Method

Installation

About

An implementation of the RainFARM (Rainfall Filtered Autoregressive Model) stochastic precipitation downscaling method (Rebora et al. (2006) doi:10.1175/JHM517.1). Adapted for climate downscaling according to D'Onofrio et al. (2018) doi:10.1175/JHM-D-13-096.1 and for complex topography as in Terzago et al. (2018) doi:10.5194/nhess-18-2825-2018. 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.

github.com/jhardenberg/rainfarmr
Bug report File report

Key Metrics

Version 0.1
R ≥ 3.1.0
Published 2019-04-09 2007 days ago
Needs compilation? no
License Apache License 2.0
CRAN checks rainfarmr results

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Maintainer

Maintainer

Jost von Hardenberg

Authors

Jost von Hardenberg

aut / cre / cph

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.1.0

Reverse Imports

cmsafops
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