In this study, the regional climate of East Asia was dynamically downscaled using Hadley Centre Global Environmental Model version 3-Regional Atmosphere (HadGEM3-RA) forced by the historical simulation data (1979–2005) of HadGEM2-AO produced by the National Institute of Meteorological Sciences (NIMS). To understand the impact of corrected SST on regional climate simulation, we integrated the experiments using uncorrected (UC_SST) and Bias- and Variance-corrected (BCVC_SST) HadGEM2-AO SST and used the simulated data driven by the ERA-Interim reanalysis data and HadGEM2-AO data. Examination of the spatial distribution, statistics, and interannual variation on wintertime precipitation over East Asia indicates that BCVC_SST reduced the overestimation of the climatological mean precipitation. In order to understand the impact of corrected SST on variability, we investigated the relationship between winter snowfall in South Korea and SST over East Asia. The negative correlation coefficient between the winter precipitation and the SST of the seas surrounding Korea appears in the result of observation data. The experiment result using BCVC_SST simulated the negative correlation between the winter snowfall and the SST around Korea more realistically than that of the simulations using UC_SST and HadGEM2-AO data. These results indicate that corrected SST helps to improve the variability of snowfall and SST simulated by HadGEM3-RA. However, time lag about the years when had peak point of SST appeared in the results compared between BCVC_SST experiment and observation data. The peak years shown in the result of the BCVC_SST experiment were similar to that of HadGEM2-AO data. At these results, even though the corrected SST improves climatological mean and variability of simulated data, it has the limitation not to overcome the error such as time lag showed in GCM SST. Additionally, the analysis of the snowfall in South Korea describes that SST is passively used for the source of snowfall and atmospheric variables mainly lead the intensity and the amount of snowfall.

在本研究中，使用由国立国立科学研究院（National Institute of Institute）提供的HadGEM2-AO的历史模拟数据（1979-2005）强制使用的Hadley Center全球环境模型版本3-区域大气（HadGEM3-RA）动态缩小了东亚的区域气候。气象科学（NIMS）。为了了解校正后的SST对区域气候模拟的影响，我们使用未校正的（UC_SST）和偏差和方差校正的（BCVC_SST）HadGEM2-AO SST进行了实验整合，并使用了ERA-Interim再分析数据和HadGEM2驱动的模拟数据-AO数据。对东亚冬季降水的空间分布，统计数据和年际变化的研究表明，BCVC_SST减少了对气候平均降水的高估。为了了解校正后的SST对变化的影响，我们调查了韩国冬季降雪与东亚SST之间的关系。观测数据的结果显示了冬季降水与韩国周围海的SST之间的负相关系数。与使用UC_SST和HadGEM2-AO数据进行的模拟相比，使用BCVC_SST进行的实验结果更真实地模拟了韩国周围冬季降雪与SST之间的负相关。这些结果表明，校正后的SST有助于改善HadGEM3-RA模拟的降雪和SST的变异性。但是，在BCVC_SST实验和观测数据之间进行比较的结果中，出现了出现SST峰值的年份的时间滞后。BCVC_SST实验结果中显示的峰值年份与HadGEM2-AO数据相似。根据这些结果，即使校正后的SST改善了气候平均值和模拟数据的可变性，但仍存在无法克服GCM SST中显示的诸如时滞之类的误差的局限性。此外，对韩国降雪的分析表明，SST被被动地用作降雪的来源，而大气变量主要导致降雪的强度和数量。