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contributor authorMearns, Linda O.
contributor authorArritt, Ray
contributor authorBiner, Sébastien
contributor authorBukovsky, Melissa S.
contributor authorMcGinnis, Seth
contributor authorSain, Stephan
contributor authorCaya, Daniel
contributor authorCorreia, James
contributor authorFlory, Dave
contributor authorGutowski, William
contributor authorTakle, Eugene S.
contributor authorJones, Richard
contributor authorLeung, Ruby
contributor authorMoufouma-Okia, Wilfran
contributor authorMcDaniel, Larry
contributor authorNunes, Ana M. B.
contributor authorQian, Yun
contributor authorRoads, John
contributor authorSloan, Lisa
contributor authorSnyder, Mark
date accessioned2017-06-09T16:44:14Z
date available2017-06-09T16:44:14Z
date copyright2012/09/01
date issued2012
identifier issn0003-0007
identifier otherams-73228.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215319
description abstractAmerican Regional Climate Change Assessment Program (NARCCAP) is an international effort designed to investigate the uncertainties in regional-scale projections of future climate and produce highresolution climate change scenarios using multiple regional climate models (RCMs) nested within atmosphere?ocean general circulation models (AOGCMs) forced with the Special Report on Emission Scenarios (SRES) A2 scenario, with a common domain covering the conterminous United States, northern Mexico, and most of Canada. The program also includes an evaluation component (phase I) wherein the participating RCMs, with a grid spacing of 50 km, are nested within 25 years of National Centers for Environmental Prediction?Department of Energy (NCEP?DOE) Reanalysis II. This paper provides an overview of evaluations of the phase I domain-wide simulations focusing on monthly and seasonal temperature and precipitation, as well as more detailed investigation of four subregions. The overall quality of the simulations is determined, comparing the model performances with each other as well as with other regional model evaluations over North America. The metrics used herein do differentiate among the models but, as found in previous studies, it is not possible to determine a ?best? model among them. The ensemble average of the six models does not perform best for all measures, as has been reported in a number of global climate model studies. The subset ensemble of the two models using spectral nudging is more often successful for domain-wide root-mean-square error (RMSE), especially for temperature. This evaluation phase of NARCCAP will inform later program elements concerning differentially weighting the models for use in producing robust regional probabilities of future climate change.
publisherAmerican Meteorological Society
titleThe North American Regional Climate Change Assessment Program: Overview of Phase I Results
typeJournal Paper
journal volume93
journal issue9
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-11-00223.1
journal fristpage1337
journal lastpage1362
treeBulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 009
contenttypeFulltext


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