Climate Change Prediction Program
The mission of the DOE Climate Change Prediction Program (CCPP) is to advance climate change science and improve climate change projections using state-of-the-science coupled climate models, on time scales of decades to centuries and space scales of regional to global.

Program Goal

The CCPP goal is to develop, test, and apply state-of-the-science computer-based global climate simulation models, based on theoretical climate-science foundations and to take advantage of emerging high performance computing and information technologies. The objective is to increase dramatically both the accuracy and the throughput of computer model-based projections of climatic variability and change in order to enable sound decision-making on issues pertaining to future energy use and technology options.
The CCPP contributes directly to the BER Long Term Measure of Scientific Advancement of delivering improved climate data and models needed to determine acceptable levels of greenhouse gases in the atmosphere. The Program also contributes to the Climate Variability and Change element of the U.S. Climate Change Science Program (CCSP), and coordinates its activities with the climate modeling programs at other federal agencies, particularly the National Science Foundation (NSF), the National Oceanic and Atmospheric Administration (NOAA), and the National Aeronautics and Space Administration(NASA).

Program Components

Present CCPP research activities are organized into several distinct, but coordinated components.

Long-term Basic Research

Research Grants: The CCPP supports research at universities and other institutions through a competitive, peer-reviewed grants program. The funded projects are devoted to long-term basic research addressing climate science and, through the CCPP’s association with the DOE Office of Science’s (SC’s) Scientific Discovery through Advanced Computing (SciDAC) Program, advanced numerical methods useful in climate simulation on high-performance computer systems.
Climate Model of the Future Project: The DOE SciDAC program, through the CCPP, supports a cooperative agreement with Colorado State University to develop and test a prototype of the next generation of coupled climate models. Researchers are building and testing a coupled atmosphere-ocean general circulation model based on geodesic grids, quasi-Lagrangian vertical coordinates, and modern numerical algorithms to simulate and predict climatic variability and change over decadal to centennial time scales. This prototype will provide a foundation to test innovative techniques, which might be used in production models 5-10 years from now, and to understand long term climatic variability and predict climatic changes. As of October 2004, the construction of all primary model components has been completed, and testing is under way. Additional information about the project is available at http://kiwi.atmos.colostate.edu/DOE_Cooperative_Agreement/

Climate Model Development and Evaluation

The CCPP development and application projects are focused on the Community Climate System Model (CCSM), a community modeling program based at the National Center for Atmospheric Research (NCAR). The CCSM, which is supported jointly by the NSF and the DOE is a fully-coupled, global climate model that provides state-of-the-science computer simulations of the Earth's past, present, and future climate states.
CCPP Community Climate System Modeling Consortium Project: The DOE Community Climate System Modeling Consortium Project (supported by the DOE SciDAC program through the CCPP) is carried out at six DOE national laboratories (Argonne, Lawrence Berkeley, Lawrence Livermore, Los Alamos, Oak Ridge, and Pacific Northwest) and the NCAR. Software engineering is a key focus of the project, including climate model and framework development for vector and massively parallel terascale computing platforms. The project also supports basic development of ocean, sea ice, atmospheric chemistry (including aerosols), and biogeochemistry models for future CCSM simulations. Additional information about the project is available at http://www.scidac.org/CCSM/
Climate, Ocean, and Sea Ice Modeling Project: The CCPP sponsors the Climate, Ocean and Sea Ice Modeling Project (COSIM) at Los Alamos National Laboratory (LANL). The COSIM project provides the ongoing development and distribution of (1) the Parallel Ocean Program (POP) ocean general circulation model, which is the ocean component of the CCSM; and (2) the LANL Sea Ice Model (CICE), which is one option for the sea ice component of the CCSM. In addition to coupled climate simulations, COSIM researchers apply POP, CICE and other ocean models to a variety of ocean and sea ice problems, including eddy-resolving ocean simulations, studies of the thermohaline circulation, and polar ice feedbacks.
Program for Climate Model Diagnosis and Intercomparison: The CCPP sponsors the Program for Climate Model Diagnosis and Intercomparison (PCMDI) at Lawrence Livermore National Laboratory. The PCMDI works with national and international model development groups to identify the shortcomings of present climate models by independently providing universal diagnostic tools for evaluating climate model performance. Many of these tools are built into the Climate Data Analysis Tool software package that is freely distributed and used by many groups in the U.S.and Europe. PCMDI also provides major facilities for archiving climate model output, including the model simulations used for the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4), and making it readily accessible to the climate modeling community. The CCPP-ARM Parameterization Testbed (CAPT) at PCMDI uses numerical weather prediction methods to provide climate model developers a means to evaluate new parameterization schemes for processes such as cloud physics and convection in the context of a full atmospheric general circulation model without the need for long climate integrations. The CAPT is a key resource to improve climate models using data from Atmospheric Radiation Measurement program (ARM).

Climate Simulation and Prediction

CCSM Climate Change Working Group Support: The end-product of the CCPP is the simulation and prediction of contemporary climate and possible future climates using the state-of-science coupled climate models. In addition to the CCSM suite of climate simulation codes is the DOE supported Parallel Climate Model (PCM), developed specifically for efficient multi-century climatic change simulations on highly parallel supercomputers. The new CCSM version 3 was released in the 2004 and the group is performing higher-resolution historical simulations and future century time-scale predictions for the Intergovermental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). These multi-century simulations are coordinated through the CCSM Climate Change Working Group, which is co-chaired by CCPP scientists. Results from these simulations are being extensively analyzed by scientists throughout the world and serve as critical input to major national and international assessments of possible future climatic changes. Scientists can obtain the model data through the SciDAC sponsored Earth System Grid portals at NCAR and PCMDI.

Program Manager

Dr. Anjuli Bamzai
Climate and Environmental Sciences Division, SC-23.1
Department of Energy, GTN Bldg.
1000 Independence Ave, SW
Washington, DC 20585-1290
Phone: (301) 903-0294
Fax: (301) 903-8519
Internet: anjuli.bamzai@science.doe.gov