"For the first time, maps and summaries of historical and projected temperature and precipitation changes for the 21st century for the continental U.S. are accessible at a county-by-county level on a <http://www.usgs.gov/climate_landuse/clu_rd/nex-dcp30.asp>website developed by the U.S. Geological Survey in collaboration with the College of Earth, Oceanic and Atmospheric Sciences at Oregon State University.

The maps and summaries are based on NASA downscaling of the 33 climate models used in the 5th Climate Model Intercomparison Project and the current Intergovernmental Panel on Climate Change (IPCC) Assessment Report. The resulting <https://portal.nccs.nasa.gov/portal_home/published/NEX.html>NASA dataset is on an 800-meter grid with national coverage.

The USGS leveraged this massive dataset and distilled the information into easily understood maps, 3-page summaries and spreadsheet compatible data files for each state and county in the United States. A similar implementation for the USGS nested hydrologic units will be available in the next month."

For the full press release, see:
<http://www.usgs.gov/newsroom/article.asp?ID=3745#.Uqiw9vRDvdM>http://www.usgs.gov/newsroom/article.asp?ID=3745#.Uqiw9vRDvdM

For the model predictions, see:
http://www.usgs.gov/climate_landuse/clu_rd/nex-dcp30.asp
(or I created a shorter URL: on.doi.gov/1fkrgQL)

I think this is a great opportunity to convey climate-change predictions at a community level to non-scientists. For example, I've drafted a letter (below) to send to local newspapers near my study site at the Rocky Mountain Biological Laboratory, in Gunnison county, Colorado. (You could cite such a letter as a broader impact of your research on your next NSF proposal.)

David Inouye


The US Geological Survey and Oregon State University have announced a Website with county-level predictions for projected temperature and precipitation changes for the 21st century for the continental USA. These predictions come from a consensus of 33 different climate models, use four greenhouse gas emissions scenarios, and produce data on an 800-meter grid. Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 and from 2006 to 2099.

For Gunnison county the 1980-2004 average annual maximum temperature was 51.3° F, and the projected figure for 2006 – 2099 is 57.7°F, an increase of 6.6°F. For some context, last July’s average monthly maximum temperature was 80.4°F in Crested Butte, and in the future that figure might be about 86°. Average mean minimum temperature for the county is projected to increase about the same amount (6.5°F), from the historic average of 23.4°F to 29.8°. So the summer nights won’t cool off quite as much as they have historically.

In summary, we’ll see these average temperatures increasing by about 6° F, with variation among months. Last January’s average minimum temperature in Crested Butte was 3.9°, and in the future it might be 12.4°. Maybe that’s better for staying warm while you’re out skiing, but those warmer temperatures will allow even greater survival by a variety of pest insects, such as the beetles that have decimated many forests in Colorado in recent years. Those warmer temperatures will also facilitate the upward movement of animals such as fox and moose, which have become winter residents in the area around the Rocky Mountain Biological Laboratory.

As for precipitation, the projection for the future is for a very slight change in annual precipitation (an increase of only 0.7mm/day). The good news here is that the increase might be concentrated in winter months (January – April), when it would add to the snowpack that provides water for summer irrigation and recreation. That might help to counteract in part the trend toward earlier spring snowmelt that we’ve been seeing in the past decade as spring temperatures warm (April in particular) and we get more winter dust storms that make the snow melt up to three weeks earlier than it would otherwise.

If you’d like to explore these predictions on your own, month by month or annually, for any county in the country, go to the Website on.doi.gov/1fkrgQL.

Reply via email to