
via APC.org
A Web tool that generates color maps of projected temperature and precipitation changes using 16 of the world’s most prominent climate-change models is being used to consider such things as habitat shifts that will affect endangered species, places around the world where crops could be at risk because of drought and temperatures that could cripple fruit and nut production in California’s Great Central Valley.
Climate Wizard, a tool meant for scientists and non-scientists alike, is being demonstrated by The Nature Conservancy in Copenhagen, Denmark, in conjunction with the climate summit underway there. It also is the subject of a presentation Tuesday, Dec. 15, at the American Geophysical Union meeting in San Francisco and a paper just released online by the Public Library of Science’s PLoS ONE with Evan Girvetz as lead presenter and lead author. Girvetz worked on Climate Wizard during postdoctoral work at the University of Washington’s School of Forest Resources and just accepted a job with The Nature Conservancy.
“Climate Wizard is meant to make it easier to explore climate data in an interactive way,” Girvetz says. “It makes the data accessible in ways that are more intuitive, even for people who are not climate scientists.”
For example, data used by the U.N. Intergovernmental Panel on Climate Change, the science organization evaluating the risks of climate change, is made visual and more readily understandable through Climate Wizard. Politicians, resource managers and citizens are all potential users, Girvetz says. Find Climate Wizard at http://www.climatewizard.org/.
Climate Wizard, a joint effort among the UW, University of Southern Mississippi and The Nature Conservancy, lets users focus on states, countries or regions around the world and apply different scenarios to generate color-coded maps of changes in temperature and precipitation that can, in turn, be used to consider such things as moisture stress in vegetation and freshwater supplies.
The Latest on: Climate data
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The Latest on: Climate data
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