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CMIP6VisR facilitates the use of thebias-corrected dataset for CMIP6 projections of daily averagetemperature and total precipitation, SPQM-CMIP6-CAN (Abdelmoaty et al.,2025https://doi.org/10.1038/s41597-025-04396-z). This dataset is designed for operational applications, preservingkey statistical properties, including observed marginal properties,trends, and variability while enabling a smooth transition fromhistorical observations to future projections. The package allows usersto identify the relevant data files covering their targetregion or basin. Additionally, it provides grid area information andenables the estimation of area-weighted average precipitation timeseries derived from the bias-corrected product.

Copy and paste to get the latest version of CMIP6VisR directly

if (!require('devtools')) {install.packages('devtools'); library(devtools)}install_github('TycheLab/CMIP6VisR', upgrade = 'never')

The package was fully funded by the Global Water Futures - CoreModelling and Forecasting (https://gwf.usask.ca/core-modelling/)program, University of Saskatchewan.

Coded by: Kevin Shook, Konstantinos Andreadis, and Heba AbdelmoatyConceptual design by Simon Michael Papalexiou. Maintained by: KevinShook.

Abdelmoaty, H.M., Rajulapati, C.R., Nerantzaki, S.D. etal. Bias-corrected high-resolution temperature and precipitationprojections for Canada. Sci Data 12, 191 (2025).https://doi.org/10.1038/s41597-025-04396-z