Here we have highlighted some of the projects that are technically supported by GAL. Most are coordinated with the ND community to meet their research goals using geospatial techniques. Browse the links to the left to learn more about these exciting projects.

Bioclim Variable Analysis

  • Project Period: 2012
  • Contributors: Dr. Dilkushi Pitts, Rumana Reaz Arifin, and Andre Wiggins

This project is about processing bioclimatic variable data for current (1950-2000) and future (2000-2080) climate scenarios. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation), seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). Raster images of bioclimatic variables were created from Ascii files by Python batch processing and images were masked to limit the extent only for land pixels.

Bioclim results

Annual Mean Temperature (10 km resolution) for Current Climate condition (1950-2000).

Bioclim results after masking

Annual Mean Temperature (10 km resolution) for Current Climate condition (1950-2000) after masking operation.