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.
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
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
GPLv3 (https://www.gnu.org/licenses/gpl-3.0.de.html)
10.5281/zenodo.3275571