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Quantile Mapping for the CH2018 Swiss Climate Scenarios

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qmCH2018

What is qmCH2018?

qmCH2018 is an implementation of quantile mapping (QM) based on empirical quantiles. The package for the R programming language has been developed at ETH Zurich and MeteoSwiss and is used for bias-correcting and downscaling EURO-CORDEX RCM output within the frame of the CH2018 Swiss Climate Change Scenarios.


Installation

The recommended procedure for installing the package is using the devtools package.

devtools::install_github("SvenKotlarski/qmCH2018")

Check the options of the main (wrapper) function for the application of the QM:

library(qmCH2018)
?qm.doqm

Reference

Users are required to reference the following publication:

  • Rajczak, J. , Kotlarski, S. , Salzmann, N. and Schär, C. (2016), Robust climate scenarios for sites with sparse observations: a two‐step bias correction approach. Int. J. Climatol., 36: 1226-1243. doi:10.1002/joc.4417

License

GPLv3 (https://www.gnu.org/licenses/gpl-3.0.de.html)

DOI

10.5281/zenodo.3275571

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Quantile Mapping for the CH2018 Swiss Climate Scenarios

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