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首页> 外文期刊>Asia-Pacific journal of atmospheric sciences >Impacts of SST Pattern Represented by Ocean Temperature near Ieodo Ocean Research Station on Winter Climate Variation over the Korean Peninsula
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Impacts of SST Pattern Represented by Ocean Temperature near Ieodo Ocean Research Station on Winter Climate Variation over the Korean Peninsula

机译:海洋温度附近Ieodo海洋研究站附近的SST模式对韩国半岛冬季气候变化的影响

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摘要

This study investigates the impacts of marginal sea surface temperature (SST) on temperature variations over the Korean Peninsula in winter via observation data analysis and numerical model simulation. The marginal SST variability is represented using ocean temperature variations at the Ieodo Ocean Research Station (IORS), wherein the oceanic and atmospheric variables are observed in real-time. The wind efficiency is defined as the Korean temperature response to given winds related to variability of Korean temperature. Based on the strong correlation between SST and land temperature, the wind efficiency is determined to estimate the effect of ocean temperature variation on the land temperature. Results confirmed that the wind efficiency is closely related to the marginal SST by modulating latent and sensible heat flux, which considerably affects the climate variation over the Korean Peninsula. A significant lagged relation between the wind efficiency and marginal SST further supports this finding. The numerical experiment using the weather research and forecasting model (WRF) has strong agreement with the observational analysis. Thus, real-time ocean observational data at IORS can be used as an indicator of climate prediction over the Korean Peninsula.
机译:本研究通过观察数据分析和数值模型模拟调查了边缘海面温度(SST)对冬季韩国半岛温度变化的影响。利用Ieodo海洋研究站(IORS)的海洋温度变化来表示边缘SST可变性,其中欧洲和大气变量实时观察。风效被定义为韩国温度响应与韩国温度的可变性有关的风。基于SST和土地温度之间的强相关性,确定风效以估计海洋温度变化对陆地温度的影响。结果证实,通过调节潜伏和明智的热通量,风效与边缘SST密切相关,这显着影响了朝鲜半岛的气候变化。风效和边缘SST之间的重大滞后关系进一步支持此发现。使用天气研究和预测模型(WRF)的数值实验与观察分析有关。因此,IORS的实时海洋观测数据可作为朝鲜半岛的气候预测指标。

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