Steve Albers (left) and Kirk Holub with All-Sky Cam
An example map output from OpenClimateGIS. Here, researchers wanted to understand whether a downscaled climate model did a reasonable job representing the frequency of heavy rain events in Tampa Bay, Fla., watersheds in summertime.

New software package will help users interpret climate data

20 March 2014

With NOAA funding, University of Michigan professor Richard Rood and colleagues, including lead developer Ben Koziol, a CIRES researcher at the Earth System Research Laboratory, have built an open-source Python package, OpenClimateGIS, that aids users in the interpretation of climate data. OpenClimateGIS serves users already familiar with GIS systems, letting them work with data subsets for specific regions.

Rood and Koziol recently attended the launch of the White House’s Climate Data Initiative. Their new software, still in development, is showing promise for serving many sectors, including stormwater planning (sewers get overwhelmed by intense rainfalls, which are on the rise in some areas) and emergency planning around dangerous heat waves (also on the rise in some areas). The software package is only one "product" of a suite of climate analysis tools planned by the broad community of climate scientists and developers that comprises the National Climate Predictions and Projections Platform.

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