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Southeast Agricultural Project
The Climate Change Scenario  
 

To study the spatial scale effect of climate scenarios, we produced two scenarios, which were related, but of different spatial resolution. Five years of high resolution (50 km) control and doubled CO2 runs of the regional climate model (RegCM) were produced over the Southeast using boundary conditions from the control and equilibrium doubled CO2 runs of the Australian CSIRO (approximately 4 degree resolution, 300 km) climate runs. The broad scale characteristics of the coarse (CSIRO) and fine (RegCM) scale climate change simulations are similar, but important differences (2xCO2 minus control) are often found on the subregional scale, especially for precipitation. The figures below portray the two climate change scenarios (2XCO2-control or 2xCO2/control) on a monthly timescale.

 

Coarse Scale (CSIRO) Climate Change Scenario
Animated images
(Click on thumbnails to enlarge images)

Precipitation
Ratio of (2x CO2 / control)

Maximum Temperature
(2x CO2 - control)

Minimum Temperature
(2x CO2 - control)

Click on thumbnail to enlarge image Click on thumbnail to enlarge image Click on thumbnail to enlarge image

 

Fine Scale (RegCM) Climate Change Scenario
Animated images
(Click on thumbnails to enlarge images)

Precipitation
Ratio of (2x CO2 / control)

Maximum Temperature
(2x CO2 - control)

Minimum Temperature
(2x CO2 - control)

Click on thumbnail to enlarge image Click on thumbnail to enlarge image Click on thumbnail to enlarge image
 
Southeast Agricultural Project Home Page   |   Southeast Agricultural Project Overview
The Climate Change Scenario   |   Detailed % Change in Crop Yields for the South East
State Level Changes in Crop Yields for the Whole U.S.   |   Results of Agricultural Economic Model

Funded by the U.S. Environmental Protection Agency (EPA) Science To Achieve Results (STAR) Program, the National Aeronautics Space Administration (NASA) Mission To Planet Earth (MTPE) - now Earth Science Enterprise (ESE), and the U.S. Department of Agriculture Economic Research Service (ERS).

For more information on this project, please contact Linda Mearns at: lindam@ucar.edu