calibratoR (\url{https://github.com/SantanderMetGroup/calibratoR}) implements several methods for statistical calibration of climate forecasts (typically on a monthly/seasonal basis), which range from simple mean/variance adjustment to more sophisticated Ensemble Model Output Statistics (EMOS) options which take into account the existing correspondence between the ensemble mean and the observations in the calibration process. It works with the grid object developed for the climate4R bundle (\url{http://www.meteo.unican.es/climate4r}). Currently, only gridded data are supported (point-wise stations will be also supported in a future release).
Package details |
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Maintainer | |
License | file LICENSE |
Version | 0.2.0 |
URL | https://github.com/SantanderMetGroup/calibratoR |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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