一次台风过程对西北太平洋西边界流系源区影响的数值模拟研究

利用POM及其与WRF的耦合模式对"格美"台风影响下的该海区进行了5组数值模拟试验,在对结果分析的基础上,得到了西北太平洋西边界流系源区对此次台风过程的响应。研究表明:在台风影响下,最大风速区及热通量输送决定了海表温度(SST)降温中心范围,热通量的输送对SST的降低贡献超过16.7%;受此次台风影响的混合层(OML)加深、维持的时间为42 h,热通量对OML的加深有正作用,但不如风应力的贡献明显。台风移动方向右侧,OML加深范围更大,且SST最大降低区并不是OML最大加深区。此次台风过程对黑潮南向流的影响较弱,主要增加了海洋混合层的北向流流量。利用耦合模式,考虑了海气间的相互作用,在台风中心附近模拟出由于低压引起的海面升高现象。     

春季南海北部上混合层的数值模拟与数值实验

根据 1 998年南海季风实验 (SCSMEX)北部“实验 3号”调查船的观测资料 ,采用一维湍动能模式 (TKE模式 ) ,对春季南海北部的SST及混合层随时间变化特征进行了数值模拟和数值试验。结果表明 ,TKE模式能够很好地模拟南海北部的海表面温度SST和上混合层深度随时间变化基本特征。在南海 5— 6月 ,SST的日振荡主要依赖于短波辐射的日变化 ,短波辐射是SST的主要维持机制 ;短波辐射会使SST升高 1— 4℃ ;风的垂直混合作用主要是抑制了SST的日周期振荡。春季南海海面潜热通量和感热通量与短波辐射和风应力相比较 ,是一个对SST影响较小的量。南海北部 5月份混合层深度的变化趋势和振荡特征受风应力和短波辐射共同控制 ,风应力使混合层深度加深 5— 1 0m ,短波辐射使混合层深度平均变浅 5— 1 0m。而 6月份南海北部 ,在夏季风爆发后短波辐射较小 ,短波辐射的作用只能使混合层深度变浅1— 2m ,潜热通量和感热通量对混合层的作用会使混合层的深度加深 1— 2m ,混合层深度主要受风应力控制。     

利用jason-1资料验证区域海气耦合模式模拟台风浪的有效性

本文基于中尺度大气模式MM5、区域海洋模式POM及第三代海浪模式WW3建立了综合考虑海气间动力、热力相互作用的区域海气耦合模式系统.利用耦合模式模拟中国南海的两次典型的台风过程,并利用iasotl-1卫星高度计资料验证耦合模式模拟台风浪的有效性.结果表明:耦合模式能够较好地模拟南海台风的移动和强度,但模拟台风系统略偏弱,耦合模式对正常路径台风的模拟效果优干转向型台风;耦合模式能够模拟出南海台风过程中海浪场的演变特征,模拟结果与iason实测值相关性较好,相对误差在可接受范围;区域海气耦合模式为台风等强天气过程中海洋、气象要素演变特征及海-气界面相互作用过程的研究开辟了一条有效途径.     

春季南海南部上混合层数值模拟与数值实验

采用一维湍动能模式对南海南部的 SST及混合层进行数值模拟和数值试验。结果表明 :TKE模式能够模拟南海南部的海表面温度 SST以及除南海南部 5月中旬以外的上混合层深度随时间变化基本特征。在 5～ 6月 ,SST的日振荡主要依赖于短波辐射的日变化 ,风的混合作用抑制了 SST的日周期振荡。春季夏季风爆发期间 ,南海海面潜热通量和感热通量与短波辐射和风应力相比较 ,是一个对 SST和混合层影响较小的量。在春季南海南部 ,短波辐射作用能使 SST升高的最大值约为 4℃ ;潜热和感热通量能使 SST的下降的最大值为 3℃。风应力对南海混合层深度随时间变化趋势起着决定的作用 ,并能使其深度加深 2 0～ 30 m,而短波辐射则使混合层的深度变浅2～ 3m,潜热和感热通量会使混合层的深度加深 1～ 2 m。在春季南海南部 ,热通量对混合层深度的影响与风应力相比要小得多     

南海东北部上层海洋对台风“莲花”的响应

台风过境会引起所经海域海洋环境要素场剧烈响应。本文通过分析南海东北部上层海域各要素对2015年第10号台风"莲花"的响应过程,发现以下规律:台风过境期间,海表温度(SST)影响台风的移动路径和强度,两次显著的台风移动方向偏转均发生在台风下垫面温度发生显著改变的条件下。台风吸收海表热量引起SST降低0～1.5℃,而这种热量(以短波辐射和潜热通量为主的海表净热通量)吸收引起的海表失热每秒可达60 W/m2,对台风移动过程产生影响。同时,台风过境时(7月6—9日)的SST降低与失热变化都存在一定的"左偏性"。台风引起的Ekman抽吸速率最高可达1.6×10-3m/s,引起台风过后(7月9日之后) SST的降低。通过对海面10 m风场、海表温度、降雨量进行EOF分析发现:风场在南海东北部海域呈东西反位相分布,风场增强持续时间约5天,具有显著"右偏性"且近岸的局部风场特征明显;降雨量在台风期间呈全域一致性的增加,持续时长约4天,具有显著"左偏性"且在吕宋岛北部局部降雨特征明显;SST在南海东北部绝大部分海域呈降温态势,时长超过8天,降温时间滞后风场约2～3天。整个降温过程(7月5—15日)受Ekman抽吸作用较海表失热作用更大,表现为在台风右侧降温更为显著。同时,台风移动速度越慢,降温效果越明显。台风过境时,粤东离岸流显著增强,上升流区的垂直温度降幅可达2.5℃且滞后流场响应约1～2天;垂直盐度降幅可达1.3 psu且滞后流场响应约2～3天。总体上看,温度在台风响应过程中起着重要的联结作用。     

黄、东海海洋对于台风过程的响应

强天气过程下海洋的响应是海洋环境预报的重要内容,它的研究对于防灾减灾、远洋运输、水产养殖等有积极的意义。本文中作者运用一个改进后具有模拟和预报能力的河口海洋模式ECOM-si,引入全强迫条件,对一个真实的强台风下的海洋响应进行了研究。模拟结果表明,海洋对台风过程有强烈的响应,强台风引起SST出现大幅降低,最大达5℃,其中大风抽吸和大风夹卷影响最大;大风引起的平流输送在实际情况中对海水温度、盐度的水平分布有重要影响:台风诱导海水上翻,会使得海洋的混合层明显加深,最大达20—30m;海洋在台风作用下,在上层海洋产生明显的气旋式流场,海面产生的明显下陷可达30cm,台风中心、气旋式流场中心和海面下陷中心三个位并不重合。同时在台风登陆位置附近产生风暴潮,最大增水可达0.8—1.0m,但沿海各地最大增水时间不相同。     

南海表层水温年循环的数值模拟

本文采用一个非线性约化重力海洋模式对南海表层水温(SST)年循环过程进行了数值研究,探讨了南海表层水温年循环形成和维持的动力学和热力学机制·模拟结果表现出与观测分析相一致的年循环变化阶段性和空间结构,并发现南海SST年循环的阶段性是海面动力强迫和热力强迫共同作用的结果;南海上层海洋的热力平衡有着明显的季节特征.     

基于Argo资料的西北太平洋海表面盐度对台风的响应特征分析

基于1996—2012年西北太平洋Argo剖面浮标盐度观测资料,利用合成分析方法研究了海表面盐度对台风的响应特征。结果表明海表面盐度对台风的响应具有明显的非对称性:台风过后其路径右侧的海表面盐度显著上升;左侧的则在R₅₀内上升,R₅₀外区域普遍下降。进一步分析显示台风强度、移动速度和海洋混合层深度对海表面盐度响应特征均有较大影响。强度大或移动缓慢的台风能造成大范围的海表面盐度上升;强度小或移动快速的台风只在路径右侧造成海表面盐度上升,左侧的则普遍下降。夏季(6-9月)台风过后,海表面盐度在混合层浅的区域普遍大幅上升,在混合层深的区域则在台风路径左右两侧2R₅₀范围内小幅上升,在远离台风路径左侧区域下降。     

考虑飞沫影响的拖曳系数方案对台风条件下上层海洋海温数值模拟的影响

为了提高对上层海洋的模式模拟准确性,为台风海气耦合模式提供更加合理的动量交换耦合方案,文章应用一个分粒径段的海洋飞沫函数给出一个新的海面拖曳系数CD计算方案,它体现了台风高海况条件下海洋飞沫层使海面拖曳系数数值减小特点。论文以2014年第15号台风"海鸥"经过南海强化观测区域时段作为个例,应用POM(Princeton Ocean Model)三维海洋环流模式进行数值模拟试验,结果发现低风速情况下,考虑海洋飞沫因素后的CD与传统计算方案数值相近,在高风速情况下,考虑海洋飞沫因素后的CD方案与模式传统计算方案不同,表现出随风速增长趋缓,直至随风速略有下降现象。与传统拖曳系数方案相比,采用新的拖曳系数方案后,模拟的台风条件下上层海洋的温度降温幅度、混合层深度加深幅度、温跃层强度减弱程度都略有减弱,这些模拟特征与观测事实更加接近。     

SST对台风“珍珠”影响的数值试验

本文使用了最新的中尺度大气模式WRF模式,结合Nudging方法和自动移动嵌套方法,采用TRMM/TMI观测资料和NCEP1°×1°再分析资料,进行了5组数值试验,模拟了0601号台风"珍珠",分析了在台风作用下的海面降温对台风路径和强度的影响,对比各组模拟结果表明,SST的变化对台风路径和强度都有较大影响,采用了TRMM/TMI观测资料后,能够显著提高对热带气旋强度的模拟,此外,数值模式模拟结果还表明:SST每增加或减少1℃,热带气旋的最低气压大约增加/减少16 hPa.     

Ocean temperature responses to Typhoon Mstsa in the East China Sea

The MASNUM wave-tide-circulation coupled model, with 21 layers in the vertical and （1/8） °horizontal resolution, was employed to investigate the oceanic responses to Typhoon Mstsa which traversed the East China Sea （ECS） during the period of 4 - 6 August, 2005. Numerical experiment results are analyzed and compared with observation. The responses of the sea surface temperature （SST）, in a focused area of （27° -29°N, 121° - 124°E）, include heating and cooling stages. The heating is mainly due to warm Kuroshio water transportation and downwelling due to the water accumulation. In the cooling stage, the amplitude of the simulated cold wake （ -3℃ ）, located on the right side of this typhoon track, is compared quite well with that of the satellite observed SST data. The wave-induced mixing（Bv） plays a key role for the SST cooling. Bv still plays a leading role, which accounts for 36%, for the ocean temperature drop in the upper ocean of 0 - 40 m, while the upwelling is responsible for 84% of the cooling for the lower layer of 40 - 70 m. The mixed layer depth （MLD） increased quickly from 28 to 50 m in the typhoon period. However, the simulated MLD without the wave-induced vertical mixing, evolution from 13 to 32 m, was seriously underestimated. The surface wave is too important to be ignored for the ocean responses to a typhoon.     

海面温度变化影响台风"海棠"强度的数值研究

通过对台风"海棠"5 d的数值模拟,研究海表温度(SST)变化对台风强度的影响。与NCEP月平均海表温度相对比,在中尺度大气模式中引入热带测雨卫星(TRMM)微波成像仪(TMI)/先进微波扫描辐射计(AMSR-E)来考察SST对台风"海棠"路径和强度的影响。研究结果表明,每天变化SST的试验模拟的台风强度和路径整体效果不错;模拟的台风路径不敏感于SST的变化,而台风强度的变化不仅取决于由于台风移动引发的SST冷却的幅度大小,而且取决于SST冷却区域的相对位置。在台风"海棠"强烈发展过程中,台风中心右侧冷却区对台风中心气压影响很小;台风强烈发展过后,SST冷却区开始影响台风强度,但造成台风中心气压下降幅度不大,6 h内台风中心气压减弱约3.9 hPa。海面热量通量和海面风速与SST的分布都有良好的相关性:在SST变化为正值的暖水区,感热通量和潜热通量都是一个正的通量分布的极值区,并有风速极大值区域存在;在台风右侧相应的冷却区,则存在着负的通量异常和风速极小值区域。     

东海对台风云娜的海洋响应

Many typhoons pass through the East China Sea(ECS) and the oceanic responses to typhoons on the ECS shelf are very energetic. However, these responses are not well studied because of the complicated background oceanic environment. The sea surface temperature(SST) response to a severe Typhoon Rananim in August 2004 on the ECS shelf was observed by the merged cloud-penetrating microwave and infrared SST data. The observed SST response shows an extensive SST cooling with a maximum cooling of 3°C on the ECS shelf and the SST cooling lags the typhoon by about one day. A numerical model is designed to simulate the oceanic responses to Rananim.The numerical model reasonably simulates the observed SST response and thereby provides a more comprehensive investigation on the oceanic temperature and current responses. The simulation shows that Rananim deepens the ocean mix layer by more than 10 m on the ECS shelf and causes a cooling in the whole mixed layer. Both upwelling and entrainment are responsible for the cooling. Rananim significantly deforms the background Taiwan Warm Current on the ECS shelf and generates strong Ekman current at the surface. After the typhoon disappears, the surface current rotates clockwise and vertically, the current is featured by near inertial oscillation with upward propagating phase.     

Upper ocean responses to category 5 typhoon Megi in the western north Pacific

Category 5 typhoon Megi was the most intense typhoon in 2010 of the world. It lingered in the South China Sea (SCS) for 5 d and caused a significant phytoplankton bloom detected by the satellite image. In this study, the authors investigated the ocean biological and physical responses to typhoon Megi by using chlorophylla (chla) concentration, sea surface temperature (SST), sea surface height anomaly (SSHA), sea surface wind measurements derived from different satellites and in situ data. The chla concentration (>3 mg/m³) increased thirty times in the SCS after the typhoon passage in comparison with the mean level of October averaged from 2002 to 2009. With the relationship of wind stress curl and upwelling, the authors found that the speed of upwelling was over ten times during typhoon than pretyphoon period. Moreover, the mixed layer deepened about 20 m. These reveal that the enhancement of chla concentration was triggered by strong vertical mixing and upwelling. Along the track of typhoon, the maximum sea surface cooling (6-8℃) took place in the SCS where the moving speed of typhoon was only 1.4-2.8 m/s and the mixed layer depth was about 20 m in pretyphoon period. However, the SST drop at the east of the Philippines is only 1-2℃ where the translation speed of typhoon was 5.5-6.9 m/s and the mixed layer depth was about 40 m in pretyphoon period. So the extent of the SST drop was probably due to the moving speed of typhoon and the depth of the mixed layer. In addition, the region with the largest decline of the sea surface height anomaly can indicate the location where the maximum cooling occurs.     

2015年台风“彩虹”过境后下山冷急流引起的南海北部海域异常海面降温

This study deals with a unusual cooling event after Typhoon Mujigea passed over the northern South China Sea(SCS) in October 2015. We analyze the satellite sea surface temperature(SST) time series from October 3 to 18,2015 and find that the cooling process in the coastal ocean had two different stages. The first stage occurred immediately after typhoon passage on October 3, and reached a maximum SST drop of –2℃ on October 7 as the usual cold wake after typhoon. The second stage or the unusual extended cooling event occurred after 7d of the typhoon passage, and lasted for 5d from October 10 to 15. The maximum SST cooling was –4℃ and occurred after 12d of typhoon passage. The mechanism analysis results indicate that after landing and moving northwestward to the Yunnan-Guizhou Plateau(YGP), Typhoon Mujigea(2015) met the westerly wind front on October 5. The lowpressure and positive-vorticity disturbances to the front triggered meridional air flow and low-pressure trough,thus induced a katabatic cold jet downward from the Qinghai-Tibet Plateau(QTP) passing through the YGP to the northwestern SCS. The second cooling reached the maximum SST drop 4d later after the maximum air temperature drop of –9℃ on October 11. The simultaneous air temperature and SST observations at three coastal stations reveal that it is this katabatic cold jet intrusion to lead the unusual SST cooling event.     

海洋表层温度对台风"蔷薇"路径和强度预测精度的影响

基于中尺度大气模式WRF(Weather Research and Forecasting Model),首先对2007年3次船舶辐射通量观测进行模拟,以检验WRF对长波和短波辐射通量的模拟能力,结果表明使用中国近海海洋环境数值预报系统环流模式POM(Princeton Ocean Model)模拟的高时空分辨率的海洋表层温度能够显著改进短波辐射通量的模拟,而对长波辐射通量模拟的改进不明显。然后,将业务化运行的中国近海海洋环境数值预报系统后报的逐时海洋表面温度(SST)作为WRF底边界条件,对2008年15号强台风"蔷薇"(Jangmi)过程进行了数值后报试验。结果表明,与使用NCEP/NCAR的SST试验后报的台风中心位置偏差相比,使用高时空分辨率的SST能够较为显著地改善"蔷薇"的路径模拟,台风中心位置模拟偏差减少11%,尤其在台风减弱阶段,台风中心位置模拟偏差减少37%。台风强度在台风发展的不同阶段对下垫面SST的变化敏感性不同。台风路径附近的海表面温度下降会导致海洋向大气输送的热量减少从而减弱台风强度。     

Numerical Simulations of Sea Surface Cooling by a Mixed Layer Model during the Passage of Typhoon Rex

In order to investigate the formation mechanism of rapid decrease of maritime sea surface temperature (SST) observed by R/V Keifu Maru, the ocean response to Typhoon Rex is simulated using a mixed layer model. The rapid decrease of the maritime SST is successfully simulated with realistic atmospheric forcing and an entrainment scheme of which sources of turbulent kinetic energy (TKE) are production due to wind stress, generation during free convection, and production due to current shear. The rapid decrease at the observed station by R/V Keifu Maru is not produced by instant atmospheric forcing but is mainly produced by entrainment on the right side of the running typhoon as a part of cooling area during its passage, and remained during a few days. The sea surface cooling (SSC) is evident along the track and on the right side of the running typhoon, which is similar to the SSC of satellite observation by TRMM/TMI. The conspicuous SSC produced by both entrainment and upwelling is situated just under the track of typhoon when the typhoon moves slower. Intercomparison of entrainment schemes of the mixed layer model is implemented. Frictional velocity and buoyancy effects are effective for a gradual SSC covering the wide region. In contrast, the effect of current shear at the mixed layer base is related to the amount of SSC and the sharp horizontal gradient of SSC. The entrainment scheme including all three TKE sources has the best performance for SSC simulation.     

海洋表层温度对台风"蔷薇"路径和强度预测精度的影响

基于中尺度大气模式WRF(Weather Research and Forecasting Model),首先对2007年3次船舶辐射通量观测进行模拟,以检验WRF对长波和短波辐射通量的模拟能力,结果表明使用中国近海海洋环境数值预报系统环流模式POM(Princeton Ocean Model)模拟的高时空分辨率的海洋表层温度能够显著改进短波辐射通量的模拟,而对长波辐射通量模拟的改进不明显。然后,将业务化运行的中国近海海洋环境数值预报系统后报的逐时海洋表面温度(SST)作为WRF底边界条件,对2008年15号强台风"蔷薇"(Jangmi)过程进行了数值后报试验。结果表明,与使用NCEP/NCAR的SST试验后报的台风中心位置偏差相比,使用高时空分辨率的SST能够较为显著地改善"蔷薇"的路径模拟,台风中心位置模拟偏差减少11%,尤其在台风减弱阶段,台风中心位置模拟偏差减少37%。台风强度在台风发展的不同阶段对下垫面SST的变化敏感性不同。台风路径附近的海表面温度下降会导致海洋向大气输送的热量减少从而减弱台风强度。     

连续台风对海表温度和海表高度的影响

利用多卫星观测资料,分析了2008年9月3个连续台风前后的海表温度(SST)和海表高度距平(SSHA)的时空变化特征,并探讨了影响其变化的主要因子。结果表明:(1)3个台风引起了强烈的上升流(1×10-5~150×10-5 m/s),海表显著降温(1~6 ℃),海表高度也有不同程度降低(10~50 cm);(2)台风引起的SST最大降温中心与SSHA负值或中尺度冷涡的区域中心十分吻合,同时台风使得先前存在的海洋中尺度冷涡得到加强;(3)同一区域台风对SST影响程度大小受台风的强度、移动速度以及台风对海面强迫时间等因素控制;(4)在原先SSHA为正值的海域,3个台风连续强迫下使得局地洋面形成一个SSHA为负值的中尺度涡,这与单一"打转"台风强迫海洋生成中尺度涡的现象不同。因此,对于西北太平洋海域而言,频发的台风在中尺度涡生消演变过程中的影响应不容忽视。     

Satellite-derived SST validation based on in-situ data during summer in the East China Sea and western North Pacific

Satellite-derived sea surface temperature (SST) is validated based on in-situ data from the East China Sea (ECS) and western North Pacific where most typhoons, which make landfall on the Korean peninsula, are formed and pass. While forecasting typhoons in terms of intensity and track, coupled ocean-typhoon models are significantly influenced by initial ocean condition. Potentially, satellite-derived SST is a very useful dataset to obtain initial ocean field because of its wide spatial coverage and high temporal resolution. In this study, satellite-derived SST from various sources such as Tropical Rainfall Measuring Mission Microwave Imager (TMI), Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and New Generation Sea Surface Temperature for Open Ocean (NGSST-O) datasets from merged SSTs were compared with in-situ observation data using an indirect method which is using near surface temperature for validation of satellite derived SST. In-situ observation data included shipboard measurements such as Expendable Bathythermograph (XBT), and Conductivity, Temperature, Depth (CTD), and Argo buoy data. This study shows that in-situ data can be used for microwave derived SST validation because homogeneous features of seawater prevail at water depths of 2 m to 10 m under favorable wind conditions during the summer season in the East China Sea. As a result of validation, root-mean-square errors (RMSEs) are shown to be 0.55 °C between microwave SST and XBT/CTD data mostly under weak wind conditions, and 0.7 °C between XBT/CTD measurement and NGSST-O data. Microwave SST RMSE of 0.55 °C is a potentially valuable data source for general application. Change of SST before and after typhoon passing may imply strength of ocean mixing due to upwelling and turbulent mixing driven by the typhoon. Based on SST change, ocean mixing, driven by Typhoon Nari, was examined. Satellite-derived SST reveals a significant SST drop around the track immediately following the passing of Typhoon Nari in October, 2007.