climr: Downscaling climate data in R

`climr` is an R package that builds on the downscaling concepts operationalized in the ClimateNA tool (climatena.ca) (Wang et al. 2016). It provides downscaling of observational and simulated climate data using change-factor downscaling, a simple method that adds low-spatial-resolution climate anomalies to a high-spatial-resolution reference climatological map, with additional elevation adjustment for temperature. Elevation-adjusted monthly values of basic climate elements (temperature and precipitation) are then used to estimate derived variables (e.g., degree-days) based on published equations and parameters from Wang et al. 2016. `climr` is designed to be fast and to minimize local data storage requirements. To do so, it uses a remote PostGIS database, and optionally caches data locally.

Author

Maintainer: Kiri Daust kiri.daust@gov.bc.ca

Authors:

• Colin Mahony Colin.Mahony@gov.bc.ca (ORCID)

• Bruno Tremblay bruno@boostao.ca (ORCID)

• Ceres Barros ceres.barros@nrcan-rncan.gc.ca (ORCID)

Other contributors:

• Francois Bornais francois@boostao.ca [contributor]

• Province of British Columbia [copyright holder, funder]