基于“黑格比”和“灿都”台风期间湍流数据的曳力系数和动力粗糙度长度参数化研究（英文）

海面的曳力系数和空气动力学粗糙度长度是计算海气动量、感热和水汽通量交换必需的参数。基于在"黑格比"和"灿都"台风期间收集的涡动相关系统观测数据,文章研究了10m风速和摩擦速度之间、10m风速和曳力系数之间、以及10m风速和动力粗糙度长度之间的参数化关系。结果表明:曳力系数和摩擦速度及10m风速之间存在抛物线关系,动力粗糙度长度与摩擦速度及10m风速之间存在自然指数关系;临界摩擦速度为0.83m·s~(–1),临界10m级风速为23.69m·s~(–1)。     

强风条件下海面拖曳系数和粗糙长度研究

进一步研究强风条件下海-气湍流动量交换以及海浪特征,有助于提高数值天气模式对台风强度演变、移动路径以及恶劣海况的预报能力。依照前人的方法将台风分为风向与浪向(1)相同,(2)相反,和(3)交叉3个扇形区,并结合台风路径数据,得到了浮标数据相对于台风的方位。分别对3种类型的浮标数据进行分析,进而发现了波浪高度和相速度随风速增加而变化的规律。并利用GWW参数化方案计算出摩擦速度(u_*)、拖曳系数(C_DN)和粗糙长度(z₀)。将这些结果与前人代表性的研究论文中所用观测数据和所得研究结论进行比较,结果表明二者有较强的一致性。该研究证明GWW参数化方案在强风条件下依然有很好的适用性。     

Influence of wavelength on the parameterization of drag coefficient and surface roughness

Surface waves are the roughness element of the ocean surface, the air-sea interaction processes are influenced by the wave conditions. The dynamic influence of surface waves decays exponentially with distance from the air-water interface. The relevant length scale characterizing the decay rate is the wavelength. The parameterization of drag coefficient and surface roughness can be significantly improved by using wavelength as the reference length scale of atmospheric measurements. The wavelength scaling of drag coefficient and dynamic roughness also receives support from theoretical studies of wind and wave coupling.     

On the parameterization of drag coefficient over sea surface

Six parameterization schemes of roughness or drag coefficient are evaluated on the basis of the data from six experiments. They present great consistency with measurement when friction velocity u*<0.5 m/s (approximately corresponding to 10 m wind speed U10 <12 m/s) and large deviation from measurement when u*≥0.5 m/s (approximately U10≥12 m/s). In order to improve the deviation, a new parameterization of drag coefficient is derived on the basis of the similarity theory, Charnock relationship and Toba 3/2 power law. Wave steepness and wind-sea Reynolds number are considered in the new parameterization. Then it is tested on the basis of the measurements and shows significant improvement when u*≥0.5 m/s. Its standard errors are much smaller than the ones of the other six parameterizations. However, the new parameterization still needs more tests especially for high winds.     

台湾海域海面粗糙度及曳力系数的研究

利用福建沿海海域南日岛、金门岛与广东南澳岛的近海面气象、水文观测资料及台湾海峡西南部与南部的浮标观测资料,通过COARE(Coupled-Ocean Atmosphere Response Experiment)算法(V3.0),计算了台湾海域近海面空气动力粗糙度、曳力系数及海气表面动量通量,并研究它们关于水平风速的分布规律。结果得出:摩擦速度与10m风速基本上呈线性分布,线性拟合系数在0.042～0.045之间。曳力系数对10m风速的线性分布与过去研究结果相近,线性拟合系数在0.064～0.067之间。海面空气动力粗糙度对10m风速的线性拟合系数在0.053～0.058之间。海面动量通量与10m风速呈明显的二次关系,其线性与非线性拟合系数对于进一步了解台海地区大气湍流结构,建立和完善台海地区数值预报模式可提供重要的参数依据。     

Wind speed scaling and the drag coefficient

[1]Banner M L, Chen W, Walsh E J, et al.     

Effect of the drag coefficient on a typhoon wave model

The effect of the drag coefficient on a typhoon wave model is investigated.Drag coefficients for Pingtan Island are derived from the progress of nine typhoons using COARE 3.0 software.The wind parameters are obtained using the Weather Research and Forecasting model.The simulation of wind agrees well with observations.Typhoon wave fields are then simulated using the third-generation wave model SWAN.The wave model includes exponential and linear growths of the wind input,which determine the wave-growth mode.A triple triangular mesh is adopted with spatial resolution as fine as 100 m nearshore.The SWAN model performs better when using the new drag coefficient rather than the original coefficient.     

海冰表面和底层形态的特征相关性分析——以2011年早春拉布拉多海海冰实验数据为例

海冰表面和底层形态的特征相关性分析对海冰分类、气候研究以及海冰厚度估计等方面具有重要作用.目前,海冰底层形态的研究较少,且缺乏海冰表面和底层形态的相关性研究.针对这一问题,本文利用加拿大渔业和海洋局提供的积雪表面粗糙度高度(定义为海冰或积雪表面相对于周围平整表面的高度)、海冰底层轮廓、积雪深度以及海冰厚度数据,采用均方...