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CMIP6VisR facilitates the use of the bias-corrected dataset for CMIP6 projections of daily average temperature and total precipitation, SPQM-CMIP6-CAN (Abdelmoaty et al., 2025 https://doi.org/10.1038/s41597-025-04396-z). This dataset is designed for operational applications, preserving key statistical properties, including observed marginal properties, trends, and variability while enabling a smooth transition from historical observations to future projections. The package allows users to identify the relevant data files covering their target region or basin. Additionally, it provides grid area information and enables the estimation of area-weighted average precipitation time series 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 - Core Modelling and Forecasting (https://gwf.usask.ca/core-modelling/) program, University of Saskatchewan.
Coded by: Kevin Shook, Konstantinos Andreadis, and Heba Abdelmoaty Conceptual design by Simon Michael Papalexiou. Maintained by: Kevin Shook.
Abdelmoaty, H.M., Rajulapati, C.R., Nerantzaki, S.D. et al. Bias-corrected high-resolution temperature and precipitation projections for Canada. Sci Data 12, 191 (2025). https://doi.org/10.1038/s41597-025-04396-z
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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