R package for accessing and processing climate data from ClimateNA with the Silva21 project. The silvR21 package provides functions to prepare Digital Elevation Models (DEM) as TIFF files into CSV files, access historical and future projected climate data, and process the files in a similar fashion to how it has been used thus far within Silva21. Annual and seasonal means/sums can be computed from monthly data along with personalized GCM ensemble generators.
As an alternative to using the desktop application, hist30YClimateNA, hist10YClimateNA, and histAnnualClimateNA permit the user to access historical means for monthly, seasonal, and annual mean data over 30 years periods. These functions have the advantage of using DEM files located anywhere on your computer.
The projClimateNA20Y tool enhances the access abilities with ClimateNA as it is easier to select GCM models, SSP scenarios, and date ranges by adjusting a few parameters. The DEM file used to access projected data must be located within the same directory as the ClimateNA application.
The guidelines for preparing a DEM file so that it can be correctly formatted for use with ClimateNA can be difficult to make properly. Errors are common and it is not always obvious how to correct them. The demToCSV tool is specifically designed to prepare any DEM TIFF file in the correct CSV format so that it can be inputted into either hist__ClimateNA or projClimateNA20Y.
As an alternative to using the 13GCM ensembles that are available with ClimateNA, the ensembleGenerator tool prepares an ensemble from any list of GCMs provided that all data has been accessed.
Rather than downloading all monthly, seasonal, and annual data, AnnualSeasonalMeans uses all of the variables from monthly data and calculates the means (for temperature and relative humidity) and sums (for precipitation, degree days, frost-free days, evaporation, moisture deficit, solar radiation, and climate moisture index) on seasonal and annual factors.
After using the ASCII DEM file format as input within the ClimateNA desktop application, the resulting outputs are often not projected properly, so they would not appear in the correct location once inputted into ArcGIS. reprojectASCII will automatically reproject these images.
silvR21 is developed openly at UBC through Silva21.
- Development of the silvR21 package started in 2022.
- First, you will need to install the
devtoolspackage. - Install the silvR21 package through GitHub with
devtools::install_github("Silva21-irss/silvR21",build_vignettes = TRUE)