作者: David F. Porter , John J. Cassano , Mark C. Serreze
DOI: 10.1029/2011JD016622
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摘要: [1] The Weather Research and Forecasting (WRF) model is used to dynamically downscale the regional climate of Arctic, an area undergoing rapid changes. Because WRF increasingly being run over larger spatial temporal scales, assessment its ability reconstruct basic properties climates, such as terms in energy budget, crucial. Estimates Arctic budget from are compared with estimates reanalyses satellite observations. The was on a large pan-Arctic domain continuously 2000 2008. Apart few systematic shortcomings, sufficiently captures budget. major deficiency, differences observations 40 W m−2 summer months, shortwave radiative fluxes at both surface top atmosphere (TOA). WRF's positive bias upwelling radiation due specified constant sea ice albedo 0.8, which too high during summer. When allowed vary more realistic manner test simulation, TOA components improve, while showing little impact atmospheric convergence storage. A second, similar simulation performed but gridded nudging enabled. large-scale circulation constrained forcing data, two that most dependent weather patterns, transport tendency column-integrated energy, closely resemble their reanalysis counterparts.