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| NARCCAP | |
|---|---|
| Name | NARCCAP |
| Full name | North American Regional Climate Change Assessment Program |
| Established | 2006 |
| Scope | Regional climate downscaling |
| Participants | Multiple North American and international research centers |
NARCCAP
NARCCAP was a multi-institutional climate modeling program focused on producing high-resolution regional climate projections for North America using regional climate models and global model boundary conditions. It coordinated teams from major research centers to deliver standardized model simulations for use by United States Environmental Protection Agency, National Oceanic and Atmospheric Administration, Canadian Centre for Climate Modelling and Analysis, Department of Energy (United States), and academic partners. The project aimed to inform stakeholders including Intergovernmental Panel on Climate Change, World Meteorological Organization, United Nations Environment Programme, and regional planners.
NARCCAP produced an ensemble of regional climate model simulations driven by multiple global model datasets to evaluate uncertainty in simulated climate change over North America, including high-resolution projections relevant to the United States, Canada, and Mexico. The effort combined activities from national laboratories such as Oak Ridge National Laboratory, research universities like University of Wisconsin–Madison and University of Colorado Boulder, and federal agencies including National Aeronautics and Space Administration, United States Geological Survey, and Environment and Climate Change Canada. Outputs targeted applications in sectors involving agencies such as Federal Emergency Management Agency, United States Department of Agriculture, and organizations like The Nature Conservancy and World Resources Institute.
NARCCAP was initiated in the mid-2000s with funding and coordination by agencies including National Science Foundation, National Oceanic and Atmospheric Administration, United States Department of Energy, and Environment and Climate Change Canada. Key objectives paralleled goals articulated by the Intergovernmental Panel on Climate Change assessment reports: to quantify regional-scale climate change signals, evaluate model uncertainties, and provide datasets to stakeholders such as National Climate Assessment contributors and regional planning bodies. The program followed precedents set by projects like CMIP3, CMIP5, and regional initiatives exemplified by CORDEX. Collaborations included centers with histories of participation in projects associated with Hadley Centre, Max Planck Institute for Meteorology, and Geophysical Fluid Dynamics Laboratory.
The NARCCAP modeling framework employed multiple regional climate models—implementations from institutes such as National Center for Atmospheric Research, Pennsylvania State University, Laboratory of Meteorology and Geophysics (LRB?), and Environment and Climate Change Canada—nested within boundary conditions provided by global coupled models like those from GFDL, HadCM3, MPI-ESM, and NCAR CCSM3. The ensemble included dynamical downscaling methods using regional atmospheric models such as RegCM, WRF, and MM5, applied at resolutions near 50 km to capture mesoscale features relevant to phenomena influenced by Rocky Mountains, Great Lakes, and coastal processes along the Gulf of Mexico. Physical parameterizations addressed land surface interactions drawing on schemes developed at Duke University, Princeton University, and Lawrence Berkeley National Laboratory. Experimental design mirrored approaches used in AR4 and AR5 model intercomparison frameworks.
Participating institutions included national laboratories and universities: Oak Ridge National Laboratory, National Center for Atmospheric Research, Atmospheric Environment Service, Canadian Centre for Climate Modelling and Analysis, Argonne National Laboratory, University of Arizona, University of Illinois Urbana–Champaign, University Corporation for Atmospheric Research, and international partners linked to Met Office, Max Planck Institute for Meteorology, and Institut Pierre-Simon Laplace. Funding and oversight incorporated agencies such as United States Environmental Protection Agency, Department of Energy (United States), National Science Foundation, and Environment and Climate Change Canada. Data users spanned organizations including State of California Natural Resources Agency, New York City Panel on Climate Change, and NGOs like World Wildlife Fund.
NARCCAP released standardized datasets including historical runs and future scenario simulations aligned with emissions pathways used in broader assessments by Intergovernmental Panel on Climate Change. Product suites comprised gridded variables (temperature, precipitation, wind, humidity) at sub-daily and monthly aggregations, bias-corrected variants, and derived indices relevant to extreme events emphasized by reports from National Academy of Sciences and American Meteorological Society. Data distribution channels involved repositories hosted by institutions such as Oak Ridge National Laboratory and data portals referenced by Earth System Grid Federation and university data libraries. Metadata followed conventions promoted by World Meteorological Organization and International Organization for Standardization standards.
NARCCAP outputs supported impact assessments for water resources undertaken by agencies like United States Bureau of Reclamation, infrastructure risk analyses used by Federal Highway Administration, and public-health related studies in collaboration with Centers for Disease Control and Prevention. The ensemble informed climate adaptation planning in regions including California, Great Lakes, and Canadian Prairies and underpinned research cited in synthesis reports by Intergovernmental Panel on Climate Change, the National Climate Assessment, and academic publications from institutions such as Massachusetts Institute of Technology and Columbia University. Educational and capacity-building activities leveraged links with initiatives at University of British Columbia and McGill University.
Critiques of the program echoed broader debates in climate modeling: sensitivity to driving global model selection exemplified by discrepancies among CMIP3 and CMIP5 forcings; limited representation of fine-scale processes relevant to Hurricane Katrina-scale events and mesoscale convective systems studied by National Severe Storms Laboratory; and computational constraints noted by centers such as Lawrence Livermore National Laboratory. Other concerns included the ensemble size relative to internal variability emphasized by researchers at Princeton University and the need for enhanced bias-correction protocols advocated by European Centre for Medium-Range Weather Forecasts. Stakeholders also pointed to challenges in translating model output for decision-making contexts used by World Bank, International Monetary Fund, and municipal governments.
Category:Climate modeling