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Software library

PCIC has developed a number of R packages for use with climate data. They can be used to solve problems encountered when working in R, or to improve upon existing software. These packages are freely available under the LGPL or GPL licenses.


The climdex.pcic package allows users of the R programming language to calculate CLIMDEX climate extremes indices on climate data of their choosing. It is a relatively fast, well-tested implementation of the CLIMDEX indices.


ClimDown is a package for the R programming language that allows users to downscale daily climate model output. It contains a suite of routines for downscaling coarse scale global climate model (GCM) output to a fine spatial resolution. It includes implementations of multiple techniques including Constructed Analogues (CA), Climate Imprint (CI), and Bias Correction/Constructed Analogues with Quantile mapping reordering (BCCAQ). 


The udunits2 package allows users of the R programming language to convert data between different units (e.g., from degrees C to degrees K). 


The climdex.pcic.ncdf package allows users of the R programming language to calculate CLIMDEX climate extremes indices on NetCDF gridded input files in parallel, using an MPI cluster if available.


The zyp package supports the determination of climate trends. It uses an efficient implementation of Sen's (1968) slope method to calculate trend magnitude. It provides two options for removing lag-1 autocorrelation (the correlation of a given time series with its own earlier values) and computing the significance of a trend following methods by Xuebin Zhang (1999) and Yue-Pilon (2002).