Climate Change Prediction Program (formerly CHAMMP)

The Climate Change Prediction Program (formerly CHAMMP ) program is a Department of Energy program to rapidly advance the science of decade and longer scale climate prediction. A major component of the CHAMMP program links the emerging technologies in High Performance Computing to the development of computationally efficient and numerically accurate climate prediction models. Sponsored by the Office of Biological and Environmental Research (OBER) , the program involves a joint laboratory-university effort to develop computational methods and simulation capabilities for future atmosphere and ocean general circulation models. These computer programs will form the core of advanced prediction models that can be used to study climate change.

Projects are classed in two groups, Science Team and Development Team projects. The Development Teams are charged with implementing particular state-of-the-art atmosphere and ocean general circulation models (and coupled models) on high performance parallel computers. The development teams have contributed to several coupled model projects through interagency collaborations with the focus on studying the utility of high resolution, eddy resolving ocean models for the coupled climate system. The image on the header is sea surface temperature output from an eddy resolving ocean model (the POP code) generated on a massively parallel computer at Los Alamos National Laboratory.

This server supports the collaboration of CCPP researchers. The server supports the exchange of software developed in the program or important to the DOE/OBER mission. It also provides a World Wide Web link for research results in the form of on-line documents and program information such as the newsletter.

The program is organized in Science Teams that perform basic climate research and Model Development Teams, which provide state of the art climate models for massively parallel computers:

Other information related to the CCPP/CHAMMP program may be of interest:

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