HR: 09:00h
AN: A41B-06    [Abstracts]
TI: Initial results from the North American Regional Climate Change Assessment Program
AU: * Leung, L
EM: ruby.leung@pnl.gov
AF: Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352 United States
AU: Gutowski, W J
EM: gutowski@iastate.edu
AF: Iowa State University, 3021 Agronomy Department of Geological and Atmospheric Sciences, Ames, IA 50011 United States
AU: Arritt, R W
EM: rwarritt@bruce.agron.iastate.edu
AF: Iowa State University, 3021 Agronomy Department of Geological and Atmospheric Sciences, Ames, IA 50011 United States
AU: Takle, G S
EM: gstakle@iastate.edu
AF: Iowa State University, 3021 Agronomy Department of Geological and Atmospheric Sciences, Ames, IA 50011 United States
AU: Mearns, L O
EM: lindam@ucar.edu
AF: National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307 United States
AB: The North American Regional Climate Change Assessment Program (NARCCAP) is using an ensemble of global and regional climate models (GCMs and RCMs) to produce downscaled climate change scenarios. The ensemble will provide opportunity to estimate regional climate changes as well as their uncertainty. This talk presents results from initial runs by NARCCAP modelers, focusing on sensitivity to domain size. The RCM domains must cover most of North America to satisfy needs of associated climate change impacts programs, raising questions about the influence of domain size on results. NARCCAP RCM modelers are thus conducting a systematic sequence of domain-size tests with each of their participating models. The collective testing also provides a prototype framework for NARCCAP's overall simulation and assessment program. Tests include several models using NCEP/DOE Reanalysis 2 to simulate 1979 for domains covering most of North America or larger. We assess domain sensitivity and its significance through comparisons with several observed fields (e.g., temperature, precipitation, circulation). These tests form an important foundation for estimating uncertainty in regional climate change scenarios.
DE: 3322 Land/atmosphere interactions
DE: 3329 Mesoscale meteorology
DE: 3337 Numerical modeling and data assimilation
DE: 3354 Precipitation (1854)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting