ClimateNA is a standalone MS Windows application that downscales PRISM (Daly et al. 2008) 1971-2000 gridded monthly climate normal data (800 x 800 m) to scale-free point locations. It calculates and derives many (>200) monthly, seasonal and annual climate variables. ClimateNA also uses the scale-free data as a baseline to downscale historical and future climate variables for individual years and periods between 1901 and 2100. ClimateNA covers entire North America (shown below). To download the package, please click here. For scale-free climate data only for British Columbia, please visit ClimateBC.
1. Scale-free climate data
ClimateNA generates scale-free climate data that facilitates users to obtain climate data for specific locations (instead of grid averages) and climate surfaces at any spatial resolutions.
The improvement in prediction accuracy over gridded climate data is shown with BC data as an example. Please read the report and our recent publication for details.
2. All-in-one package
ClimateNA integrates and downscales climate data for Paleo, historical and Future years and periods.
3. Multiple-location and miltiple-GCM processing
ClimateNA can process almost unlimited number of locations in a single run (Youtube video). it can also generate climate data for multiple GCMs in a single run (Youtube video).
4. Time-series functions
ClimateNA can generate time-series climate data for historical (1901-2018) or future years (2011-2100) for multiple locations in a single run. A Youtube video is available to show how.
5. Map-in and map-out capacity
Since version 6.0, ClimateNA can read DEM raster file and generate climate variables in raster format for mapping. A Yutube video shows how to.
6. Command-line operations support
proegram (since v7.20) supports command-line operations and can be called in other programs, such R or Python. Thus, it can be integrated into your programming workflow.
7. Map-based version for easy access and spatial visualization
ClimateNA version allows uses to: 1) get climate data for a location by clicking on the map; 2) visualize the spatial distribution of main climate variables; 3) visualize BEC zones and their shift in future climates; and 4) Visualize forest tree species distributions. Please click on the map to access the web version.