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http://dx.doi.org/10.14191/Atmos.2019.29.2.115

Evaluation of Climatological Mean Surface Winds over Korean Waters Simulated by CORDEX-EA Regional Climate Models  

Choi, Wonkeun (Ocean Circulation and Climate Research Center, Korea Institute of Ocean Science and Technology)
Shin, Ho-Jeong (Natural Science Research Institute, Gangneung-Wonju National University)
Jang, Chan Joo (Ocean Circulation and Climate Research Center, Korea Institute of Ocean Science and Technology)
Publication Information
Atmosphere / v.29, no.2, 2019 , pp. 115-129 More about this Journal
Abstract
Surface winds over the ocean influence not only the climate change through air-sea interactions but the coastal erosion through the changes in wave height and direction. Thus, demands on a reliable projection of future changes in surface winds have been increasing in various fields. For the future projections, climate models have been widely used and, as a priori, their simulations of surface wind are required to be evaluated. In this study, we evaluate the climatological mean surface winds over the Korean Waters simulated by five regional climate models participating in Coordinated Regional Climate Downscaling Experiment (CORDEX) for East Asia (EA), an international regional climate model inter-comparison project. Compared with the ERA-interim reanalysis data, the CORDEX-EA models, except for HadGEM3-RA, produce stronger wind both in summer and winter. The HadGEM3-RA underestimates the wind speed and inadequately simulate the spatial distribution especially in summer. This summer wind error appears to be coincident with mean sea-level pressure in the North Pacific. For wind direction, all of the CORDEX-EA models simulate the well-known seasonal reversal of surface wind similar to the ERA-interim. Our results suggest that especially in summer, large-scale atmospheric circulation, downscaled by regional models with spectral nudging, significantly affect the regional surface wind on its pattern and strength.
Keywords
Surface wind; regional climate; dynamical downscaling; multi-model ensemble; Korean Waters;
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