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Updated 8 February, 2004

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USGCRP Programs: Department of Energy (DOE)

 

 

 

 

 

 

 

 

AmeriFlux   
no description available
 
 
Atmospheric Radiation Measurement (ARM) Program   
The Atmospheric Radiation Measurement Program is the largest global change research program supported by the U.S. Department of Energy (DOE). ARM scientists focus on obtaining field measurements and developing models to better understand the processes that control solar and thermal infrared radiative transfer in the atmosphere (especially in clouds) and at the earth's surface.
 
 
Climate & Carbon Research   
The Climate and Carbon Research (CCR) activity in the Center for Computational Science at ORNL is a scientific research center that focuses on the computational aspects of how the global climate and carbon systems interact with natural and anthropogenic processes. The goal of CCS-CCR is to serve as a world-class climate and carbon research center and be a focal point for the computational climate and carbon simulation community.
 
 
Climate Change Prediction Program   
The Department of Energy (DOE) Climate Change Prediction Program (CCPP) is the current phase in the evolution of DOE's long-standing climate modeling and simulation research agenda. The CCPP is focused on developing, testing and applying coupled atmosphere-ocean general circulation models (GCMs) for climate simulation and prediction that stay at the leading edge of scientific knowledge and computational technology.
 
 
DOE Biological and Environmental Research Program   
The Office of Biological and Environmental Research manages the Department's Biological and Environmental Research (BER) program. Program descriptions can be found at this site.
 
 
Program for Ecosystem Research (PER)   
The mission of PER is to improve the scientific basis for predicting or detecting effects of environmental changes associated with energy production (i.e., global and regional changes in atmospheric composition and related climatic changes) on terrestrial ecosystems and their component organisms and processes.
 
 

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