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1.
We present the results of numerical modeling of the influence of water exchange through the Kerch Strait on the stationary motions in the Azov Sea. We use a three-dimensional nonlinear numerical model to perform the analysis of extreme deviations of the sea level and the surface and deep-water currents depending on the direction and velocity of constant wind with and without regard for the water exchange through the strait. It is shown that the influence of water exchange with the Black Sea leads to the increase in the maximum deviations of the sea level and the velocities of stationary currents. Thus, in particular, it is shown that, for a wind velocity of 10 m/sec, the maximum values of the surge and current velocities in the presence of the strait are higher than in the absence of the strait by 36 and 42%, respectively. In this case, the highest current velocities are induced by the south wind.  相似文献   

2.
利用2008?2018年逐小时自动站资料、常规地面高空观测资料、NCEP-FNL资料,统计黄、渤海7级及以上气旋大风过程,围绕气旋加深率和气压梯度讨论气象因子与气旋强度和发展关系,根据Petterssen地面气旋发展公式讨论温度平流、涡度平流和非绝热加热在气旋中的作用。结果表明:(1) 70.5%气旋入海后加强,14.7%成为爆发性气旋,17.6%气旋入海过程强度不变,11.7%气旋入海后减弱。影响黄、渤海的温带气旋过程主要发生在秋季,春冬季次之,夏季一次也没有出现过。入海发展的气旋多位于200 hPa高空急流出口左侧或者分流辐散区,入海减弱的气旋多位于高空急流出口右侧。(2)影响黄、渤海域的气旋有3类:自西北向东南移动的蒙古气旋(17.6%);自西向东移动的黄河气旋(49%);自西南向东北移动的江(黄)淮气旋(33.4%)。江(黄)淮气旋在秋季容易发展为爆发性气旋。黄河气旋和蒙古气旋入海后最大风区域通常出现在气旋的西北象限(或偏西象限),江(黄)淮气旋最大风区域出现在气旋的东南象限。(3)温度平流是气旋入海发展最重要的物理量因子,温度平流对气旋入海发展比对气旋强度更敏感。5次爆发性气旋过程中温度平流和涡度平流均高于其他气旋过程。非绝热加热与气旋强度的相关性较强,与气旋发展相关性弱。(4)江(黄)淮气旋过程中温度平流和非绝热加热较强,黄河气旋过程中涡度平流较强,涡度平流和非绝热加热对蒙古气旋的作用较弱。  相似文献   

3.
利用日本气象厅"best track data"热带气旋数据、QuikSCAT(Quick Scatterometer)卫星风场数据和SCUD(Surface Currents from a Diagnostic model)表层流场数据,估算了热带气旋对南海表层流和波浪的能量输入。结果显示,由于热带气旋基本都位于南海中北部,热带气旋对表层流和波浪的能量输入也集中在南海中北部;能量输入最大的月份均在8月和11月,而在9月对总能量输入贡献最大。5~12月,热带气旋对南海表层流的能量输入为1.26GW,占风对表层流总能量输入的9.87%;热带气旋对表层波浪的能量输入为11.60GW,占风对表层波浪总能量输入的5.42%。如果只考虑10°N以北区域,则热带气旋对表层流和波浪能量输入的贡献分别达到11.29%和6.87%。  相似文献   

4.
Using a three-dimensional nonlinear mathematical model, we study the processes of transfer and diffusion of contaminants in the Sea of Azov in the presence of stationary currents. Changes in the sea level, surge phenomena, and the direction and velocity of stationary currents caused by winds with different maximum velocities are analyzed. We estimate the region of applicability of the linear approximation and the choice of the value of integration steps over space and time coordinates. It is shown that the growth of the maximum wind velocity increases the contaminated domains and the time of complete dispersion of the admixture. Solutions obtained in the linear approximation differ slightly from those obtained by using the nonlinear model for wind velocities up to 5 m/sec. Translated from Morskoi Gidrofizicheskii Zhurnal, No. 4, pp. 52–68, July–August, 2008.  相似文献   

5.
The problems of recording the ionospheric response to tropical cyclones (TCs) and the possibilities for detecting such a response using GPS (Global Positioning System) signals are discussed. Investigations of ionospheric effects of tropical cyclones with the use of different geophysical methods and technologies of GPS application for remote diagnostics of the ionosphere are reviewed. The results of investigating the action of tropical cyclones on the Earth’s ionosphere on the basis of measurements of variations in the total electron content at the global network of ground-based double-frequency GPS receivers are presented. It is shown that (a) the recording of tropospheric effects in the ionosphere is associated with the difficulties of detecting weak disturbances and their identification against the general background of variations and with the problems of identification of sources of such disturbances; (b) geomagnetic storms mask the effects of tropospheric disturbances in the upper ionosphere; and (c) when identifying the ionospheric effects of tropical cyclones, one must pay the bulk of attention to the search for the enhancement of the intensity of disturbances in ionospheric parameter variations.  相似文献   

6.
秦听  魏立新 《海洋学报》2018,40(11):96-104
本文采用气旋自动识别与追踪算法,基于欧洲中期天气预报中心ERA-Interim平均海平面气压场,建立1979-2015年共37年7-10月北极西北航道东西两个区域的气旋数据。数据包括气旋中心经纬度以及中心最低气压值。基于这套数据,分析了北极7-10月西北航道气旋数量特征、空间密度分布、强度特征、加深以及爆发性气旋的活动情况。西北航道东西两段的气旋个数存在显著的差异,东段气旋个数是西段区域的2~2.5倍,并且两段个数变化趋势不一致,西段的气旋个数趋势呈不显著的减少,东段的个数呈不显著上升趋势。西北航道气旋强度偏弱,中心最低气压达980 hPa的气旋仅占不到总数的5%。最低中心气压集中分布在990~1 000 hPa之间。1979-2015年以来,东段的气旋强度趋势增强,西段气旋在2002年以前也是显著的增强,2002年以后强度减弱。气旋的生命史集中在7 d以内,东段1 d以内的气旋个数明显偏多。西段气旋高密度区域主要分布在74°N以北的波弗特海北部,东段主要分布在巴芬湾的东北侧和巴芬岛的东南侧,近几年来其主要密度分布区域东西两段存在南移以及略微变化。西北航道内爆发性气旋的增长位置集中在70°N的沿岸附近,尤其是加拿大北部以及格陵兰西海岸附近。大西洋震荡指数与东段气旋的个数有较好的正相关。  相似文献   

7.
彭荔红 《台湾海峡》1999,18(3):243-247
用重建相空间的方法,研究了1970、1988年西北太平洋共339个台风路径。结果表明,发生于不同源区的台风数目各不相同;通过台风路径的相关积分的计算,发现其相应分维数受台风不同源区的影响和台风生命时间的限制。  相似文献   

8.
本文利用欧洲中期天气预报中心(European Centre for Medium-Range Weather Forecasts,ECMWF)提供的0.125(°)×0.125(°)的ERA-Interim再分析资料、美国国家航空航天局(National Aeronautics and Space Administration,NASA)提供的MODIS(Moderate Resolution Imaging Spectroradiometer)可见光云图、气象卫星合作研究所(Cooperative Institute for Meteorological Satellite Studies,CIMSS)提供的GOES-EAST红外卫星云图等资料以及WRF(Weather Research and Forecasting)数值模式的模拟结果,对2003年3月北大西洋上一个爆发性气旋B“吞并”另一个气旋A后快速发展机制进行了分析。气旋A和B均生成于美国东部,气旋A于2003年3月5日06 UTC生成,气旋B于6日00 UTC生成,且比气旋A向东北方向移动得更快,7日18 UTC达到最大加深率3.27 hPa·h-1。在北大西洋中部地区,从8日00 UTC开始,气旋B吞并气旋A后形成气旋C,8日12 UTC气旋C中心气压达到最低值938.3 hPa。高空急流、低空水汽输送和潜热释放为气旋A和气旋B的快速发展提供了有利的环流背景场。气旋B吞并气旋A的过程经历三个阶段:前期阶段、吞并阶段、完成阶段。利用WRF模式模拟结果的分析表明,气旋A和B之间建立水汽输运通道,水汽从气旋A向气旋B输送。气旋B吞并气旋A后形成气旋C快速发展的主要原因是暖平流的作用。  相似文献   

9.
南大洋气旋气候与变化特征   总被引:2,自引:1,他引:1  
A new climatology of cyclones in the Southern Ocean is generated by applying an automated cyclone detection and tracking algorithm(developed by Hodges at the Reading University) for an improved and relatively highresolution European Centre for Medium-Range Weather Forecasts atmospheric reanalysis during 1979–2013.A validation shows that identified cyclone tracks are in good agreement with a available analyzed cyclone product.The climatological characteristics of the Southern Ocean cyclones are then analyzed,including track,number,density,intensity,deepening rate and explosive events.An analysis shows that the number of cyclones in the Southern Ocean has increased for 1979–2013,but only statistically significant in summer.Coincident with the circumpolar trough,a single high-density band of cyclones is observed in 55°–67°S,and cyclone density has generally increased in north of this band for 1979–2013,except summer.The intensity of up to 70% cyclones in the Southern Ocean is less than 980 h Pa,and only a few cyclones with pressure less than 920 h Pa are detected for1979–2013.Further analysis shows that a high frequency of explosive cyclones is located in the band of 45°–55°S,and the Atlantic Ocean sector has much higher frequent occurrence of the explosive cyclones than that in the Pacific Ocean sector.Additionally,the relationship between cyclone activities in the Southern Ocean and the Southern Annular Mode is discussed.  相似文献   

10.
热带气旋引起的风暴潮-海浪灾害成灾频率高、致灾强度大,对我国沿海地区造成的人员和经济损失惨重。预评估阶段需要在灾前对研究区可能造成的损失等进行快速的综合判定。从历史热带气旋中检索出与目标热带气旋位置及各种致灾因子强度相似的热带气旋是快速、准确地预评估风暴潮-海浪灾害的重要方法。面向风暴潮-海浪灾害预评估,提出了一种基于多致灾因子的相似热带气旋检索方法。用于相似检索的致灾因子数据包括:从中国气象局西北太平洋热带气旋最佳路径数据集中提取并经处理得到的1949~2013年影响湛江市的112场热带气旋的路径中心点位置、中心气压、最大风速、最大风速半径及移动速度数据,112场热带气旋的模拟风场、风暴潮及海浪数据。首先,利用相似离度方法对热带气旋进行路径相似性检索;其次,利用最优相似系数方法计算中心气压、最大风速半径、最大风速、移动速度、风场、风暴潮及海浪强度指标的相似系数进行一次检索;然后,根据风场、风暴潮及海浪模拟数据的获取情况,分别基于路径-强度及风场-风暴潮-海浪综合相似性指标进行二次检索;最终给出历史热带气旋的综合相似排序。以2013年尤特热带气旋为例,利用上述方法检索了与其最为相似的5场历史热带气旋。该方法综合考虑了热带气旋路径及多种致灾因子的相似,兼顾了检索的速度及质量,是进行快速、准确的风暴潮-海浪灾害预评估的重要基础。  相似文献   

11.
The seasonal and inter-annual variations of Arctic cyclone are investigated. An automatic cyclone tracking algorithm developed by University of Reading was applied on the basis of European Center for Medium-range Weather Forecasts(ECMWF) ERA-interim mean sea level pressure field with 6 h interval for 34 a period. The maximum number of the Arctic cyclones is counted in winter, and the minimum is in spring not in summer.About 50% of Arctic cyclones in summer generated from south of 70°N, moving into the Arctic. The number of Arctic cyclones has large inter-annual and seasonal variabilities, but no significant linear trend is detected for the period 1979–2012. The spatial distribution and linear trends of the Arctic cyclones track density show that the cyclone activity extent is the widest in summer with significant increasing trend in CRU(central Russia)subregion, and the largest track density is in winter with decreasing trend in the same subregion. The linear regressions between the cyclone track density and large-scale indices for the same period and pre-period sea ice area indices show that Arctic cyclone activities are closely linked to large-scale atmospheric circulations, such as Arctic Oscillation(AO), North Atlantic Oscillation(NAO) and Pacific-North American Pattern(PNA). Moreover,the pre-period sea ice area is significantly associated with the cyclone activities in some regions.  相似文献   

12.
In this paper, using Holland's method, the effect of the horizontal structure of tropical cyclones on their motion is investigated. The "characteristic radius", r0 characterized as the horizontal structure of a tropical cyclone,in which m and p are the parameters of the vortex, has been found by the author. And then it has been shown that there is but one "characteristic radius" for each cyclone with horizontal structure. Two direct analytic solutions for the uniform and non-uniform basic flows in steady situations are presented with rc Results show that the change in the horizontal structure of the tropical cyclone itself will have obvious effect on the cyclone motion, on both its direction and speed. Therefore it must be considered in the research on the tropical cyclone motion.  相似文献   

13.
1 IntroductionAs is well known, the increasing greenhousegas and SO2extricated into the atmosphere due to hu-man activities have alreadyresulted in the global sur-face air temperature (SAT) and sea surface temper-ature (SST) rising. The globally mean surf…  相似文献   

14.
The motion of an intensive cyclonic eddy on a β-plane in the presence of a zonal non-uniform flow is studied numerically in the, framework of an equivalent-barotropic quasi-geostrophic model. The main aspects influencing the cyclone motion, namely, the velocity of the surrounding flow and the gradient of potential vorticity gradient, are analysed. The main types of trajectories of tropical cyclones are thence simulated. Translated by Valdimir A. Puchkin.  相似文献   

15.
Based on the third-generation oceanic wave prediction model (WAVEWATCH Ⅲ) ,the third-generation nearshore wave calculation model (SWAN) and the mathematical tide, tidal current and cyclone current model, which have been improved, interconnected and expanded, a coupled model of offshore wave, tide and sea current under tropical cyclone surges in the South China Sea has been established. The coupled model is driven by the tropical cyclone field containing the background wind field. In order to test the hindcasting effect of the mathematical model, a comparison has been made between the calculated results and the observational results of waves of 15 cyclone cases, water levels and current velocities of the of 7 cyclones. The results of verification indicate that the calculated and observed results are basically identical.  相似文献   

16.
The surge phenomena and currents in the Azov Sea caused by variable winds in the presence of stationary currents are studied by using a three-dimensional nonlinear mathematical model. The specific features of the transformations of impurities in the water area of the Azov Sea under the joint action of stationary and nonstationary winds are investigated. On the basis of the results of numerical calculations, we make conclusions concerning the dependence of the period of dissipation of impurities on the wind velocity and the location of the regions with impurities. It is shown that the variable wind significantly increases the deviations of the sea level and the area of distribution of the impurity as compared with the action solely of the stationary currents.  相似文献   

17.
Estimates of the characteristics of the horizontal turbulent exchange (coefficients of horizontal exchange, scales of deviations of the velocity of geostrophic currents from the background flows, and horizontal scales of perturbations) in the upper ocean layer were obtained on the basis of the data of expeditions held in 1978 and 1980 in the northwestern part of the Pacific Ocean. It is shown that the characteristics of the horizontal turbulent exchange strongly depend on the structure of the background flows, and one of the causes of their variability is related to tropical cyclones. A tendency to a decrease (to different degrees) of the turbulent coefficients in the wake of a tropical cyclone is noted.  相似文献   

18.
利用印度气象局(India Meteorological Department,IMD)、国际气候管理最佳路径档案库(International Best Track Archive for Climate Stewardship,IBTrACS)提供的1982—2020年阿拉伯海热带气旋路径资料,美国国家环境预报中心(National Centers for Environmental Prediction,NCEP)再分析资料,对近39 a阿拉伯海热带气旋源地和路径特征、活跃区域、频数及气旋累积能量(accumulated cyclone energy,ACE)指数的季节特征和年际变化特征进行分析,并结合环境因素,说明其物理成因。结果表明:阿拉伯海热带气旋多发于10°~25°N,65°~75°E海域,5—6月、9—12月发生频数较高且强度较强,1—4月、7—8月发生频数较低且气旋近中心最大风速均小于35 kn;频数的季节变化主要受控于垂直风切变要素;阿拉伯海热带气旋发生频数和ACE近年有上升趋势,年际变化主要受控于海面温度(sea surface temperature,SST)和850 hPa相对湿度要素。  相似文献   

19.
海浪不仅决定着海洋表面的粗糙度,由热带气旋引起的海浪,还通过其发展演化控制着大部分的海气之间的动量和能量传递。本文采用热带气旋观测数据IBTrACS和海浪模式WW III的模拟结果探究了热带气旋下海浪对大气向海洋输入的动量和能量的影响。结果发现,近30 a热带气旋的强度约每10 a增加 1 m/s,但移速没有明显变化。热带气旋的强度越大,从大气输入到海浪和从海浪输入到海流中的动量之差和能量之差也越大。由于热带气旋的风场和海浪场都有较强的不对称性,海气动量差和能量差也表现出非均匀分布:动量差较大的区域在热带气旋移动方向的后方,能量差的最大值则分布在右后象限,且二者均为左前方比较小。逆波龄与动量差和能量差呈高度正相关,相关系数约为0.95,说明波越年轻吸收的动量和能量越多。气旋移速越快逆波龄越大,且热带气旋移动速度与动量差和能量差呈正相关,相关系数在0.8以上。因此,海浪影响着大气向海洋输入的动量和能量的分布和大小,在以后关于海洋边界动力学和热力学的研究中,考虑海浪的演化可能会使结果更加准确。  相似文献   

20.
By the method of numerical modeling, we study the influence of the velocity of constant wind on the currents and oscillations of level in the Azov Sea. A three-dimensional nonlinear numerical model is applied to determine the regions characterized by the maximum and minimum values of the velocities of surface stationary currents and the highest deviations of level in the open part of the Azov Sea. In the presented maps, we indicate the points of the water area, where the extreme values of deviations of the sea level and the highest current velocities are attained. We analyze the influence of the velocity of constant wind on the time of attainment of the extreme values of elevations and lowerings of the sea level and current velocities.  相似文献   

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