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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >A numerical study on dynamic mechanisms of seasonal temperature variability in the Yellow Sea
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A numerical study on dynamic mechanisms of seasonal temperature variability in the Yellow Sea

机译：黄海季节温度变化动态机制的数值研究

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摘要

Using in situ observations and numerical modeling, this study investigates the dynamical mechanisms of seasonal variability of water temperature in the Yellow Sea (YS). Observations indicate that bottom temperature lags 3–4 months behind surface temperature in reaching a maximum in the central YS. Wave-tide-circulation coupled model simulates this time lag and indicates that the diffusion process is a key factor governing the temperature variation below the surface layer. Based on the diffusion equation of temperature, a scheme is developed to estimate the vertical diffusion coefficient. At an observation station located at 36°00′N 124°00′E, the diffusion coefficients from April to September are estimated by using the temperature data from 1954 to 1985. The mean diffusion coefficient (MDC) in the upper layer from 0 m to 15 m is almost one order of magnitude larger than those in the middle layer from 20 to 40 m, except in April. In the middle layer, the MDC is inversely proportional to the squared buoyancy frequency, and the mean value of MDC averaged from June to September is 0.28 cm2 s?1. The inverse proportionality agrees with the Osborn's relation, which has been used to estimate the diapycnal diffusivity.
机译：利用原位观测和数值模拟，本研究探讨了黄海水温季节变化的动力学机制。观测表明，底部温度比中央表面温度滞后3-4个月，直到达到中心YS的最大值。潮汐-循环耦合模型模拟了这一时滞，并表明扩散过程是控制表层以下温度变化的关键因素。基于温度扩散方程，提出了一种估计垂直扩散系数的方案。在位于东经36°00′N 124°00′E的观测站，利用1954年至1985年的温度数据估算了4月至9月的扩散系数。上层从0 m开始的平均扩散系数（MDC）除4月外，到15 m的中间层比20到40 m的中间层大了一个数量级。在中层，MDC与浮力频率的平方成反比，6月至9月的MDC平均值为0.28 cm2 s？1。反比例关系与Osborn关系一致，该关系已用于估计对向扩散率。

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