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1.
海洋表层温度对台风"蔷薇"路径和强度预测精度的影响 总被引：1，自引：0，他引：1
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。 相似文献
2.
针对台风"杰拉华"过程,使用中尺度大气模式(WRF),采用不同时间分辨率的TRMM/TMI海表面温度观测资料作为大气模式底边界条件,设计数值试验,研究不同时间分辨率SST对台风模拟的影响;同时,通过分析HadISST1资料得到东中国海近50 a SST变化趋势,根据计算得到的SST(海表温度)变化趋势重构SST,并以重构的SST作为模式底边界条件,通过定量分析水文要素的变化,研究台风"杰拉华"过程对重构SST的响应情况。数值试验结果表明:SST时间精度的提高对台风"杰拉华"的路径后报误差减小贡献较小,但台风强度精度有明显提高。在根据SST长期变化趋势改变SST条件后,海平面气压显著降低,海面10 m风速、潜热通量、波浪能密度明显加大,有较明显增幅。 相似文献
3.
使用中尺度大气模式WRF(Weather Research and Forecasting Model),采用TRMM/TMI海温观测资料,进行不同时间分辨率海温对台风"梅花"过程的影响试验;同时,通过HadISST1资料分析得到东中国海近50年海温变化分布情况;根据温度变化率计算了SST分布整体变化后的"梅花"过程响应情况;定量计算了水文要素受影响情况。数值试验显示,与使用NCEP/NCAR的SST试验相比,使用日平均SST试验结果的台风路径偏差减少6.7%,台风强度偏差减少55.1%,后报精度明显提高。SST整体增加后,海面向大气辐射通量显著增加,海面气压与风速在台风衰减不同阶段对下垫面SST变化的敏感性不同,台风波浪能和风暴潮由于SST增加造成的台风影响,也有不同程度的增加。 相似文献
4.
海面温度变化影响台风"海棠"强度的数值研究 总被引：1，自引：0，他引：1
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。 相似文献
5.
台风"森拉克"的数值模拟研究:海洋飞沫的作用 总被引：7，自引：0，他引：7
台风作为一种在海洋上生成和演变的强烈天气现象，除了环境流场、自身结构以及地形等因子对它产生影响外，海气间的热量动量交换也是台风演变过程中不可或缺的因子。台风期间在海气界面生成大量海洋飞沫，这些飞沫在台风边界层的蒸发必然对海气之间的通量传输过程产生影响，进而影响到台风本身的演变。文章将海洋飞沫参数化引入大气中尺度模式中，对2002年16号台风“森拉克”的演变进行了数值模拟研究。结果表明，引入海洋飞沫参数化方案，可使台风期间海气界面的潜热通量增加50％，10m层风速最大值增加30％，从而使模拟台风的强度明显增加，使模拟结果更趋于合理。因此，在台风数值模拟和预报中考虑海洋飞沫的作用是十分必要的。 相似文献
6.
选取了两例迅速增强的南海土台风“蝴蝶”(1321)与“银河”(1603), 分析了其增强时南海及周边海域的高低空环流形势、垂直风切变情况和海洋热状况, 并利用WRF (Weather Research and Forecasting Model, WRF)模式探究两者强度不同的环境原因。“银河”虽具有较有利的海洋下垫面条件, 但并未发展为台风, 是因为不利的高低空环流形势和垂直风切变条件。“蝴蝶”迅速增强为强台风是因为其发生时北方冷空气南下, 西南暖湿气流爆发等有利条件。WRF模式对海表面温度(SST)影响土台风强度的敏感性实验表明, 土台风强度对于SST的响应表现为非线性正相关, SST升高, 土台风增强的速率将减缓。7—9月的南海SST均高于28℃, 已满足土台风增强条件。因此, 在对于土台风的预报中, 需特别注意SST以外的其他环境因子。 相似文献
7.
为研究台风模拟对不同陆面过程方案的敏感性,本文以0808号登陆台风"凤凰"为例,采用中尺度数值模式WRFv3及NCEP同化资料,进行了48 h的数值研究。结果表明,每一陆面方案与大气模式耦合模拟时台风中心位置及台风最大风速都呈现出该耦合系统独特的模拟特征,如与观测台风中心位置相比,NOAH方案模拟移动路径平均偏差最小,PX模拟偏差最大,NOAH-PX两方案差异可达NOAH方案模拟移动路径平均偏差的40%,可见台风模拟可因陆面方案的不同而呈现系统性的差异,且台风模拟对陆面方案的选择是敏感的;不同陆面方案通过模拟地表通量的差异导致温压场差异,并进一步影响模拟台风路径及台风强度。这些结果都表明了在台风的模式预报中,选择适当陆面方案的重要性。 相似文献
8.
西北太平洋台风频数异常及其与海气通量的关系 总被引：1，自引：1，他引：0
利用1984-2002年联合台风预警中心(JTWC)最佳路径台风资料、全球海洋客观分析海气通量(OAFluxes)资料和NCAR/NCEP-2再分析资料,使用SVD等统计方法,对西北太平洋台风频数与低层大气环流及海气通量异常之间的关系进行了研究,结果发现150°E以东的低纬海区是台风频数年际异常变化最显著的区域,台风频数与低层大气环流异常、潜热通量和短波辐射通量变化有着密切的联系:当副热带高压强度减弱(增强)、脊线偏北(南)、主体东移(西伸)时,季风槽加深东进至160°E(西退至140°E),低纬的纬向西风加强(减弱),海洋输送给大气较多(少)潜热通量,盛行的纬向西风携带着季风槽南侧的暖湿水汽与副热带高压南缘偏东气流的水汽输送在150°E以东(以西)的低纬海区辐合,150°E以东辐合上升的暖湿气团吸收的短波辐射偏多(少),有利于(不利于)形成高温高湿的不稳定结构,台风能量不断(不易)积累,在低层强(弱)辐合、高层强(弱)辐散的环境场作用下,有利于(不利于)台风在150°E以东的低纬海区的生成。 相似文献
9.
为了分析海面风场资料的实用性,利用WRF (Weather Research and Forecasting Model)模拟了2008年东海海面风场,并比较了WRF模拟结果与QuikSCAT卫星散射计资料的差异.结果表明,两种资料均能反映东海海面风场的季节性变化特征,台风月风速偏差波动较大.分析四个台风个例发现,当台风较弱时,两种风场资料分布情况较一致;当台风较强时,两种资料均有不同程度的偏差,在近海区域,WRF模拟结果相比QuikSCAT资料更好地描述台风周围风场特征. 相似文献
10.
基于全球海洋-海冰耦合数值模式,研究了不同时间和空间分辨率的海表驱动场对大西洋经向翻转环流(Atlantic Meridional Overturning Circulation,AMOC)和海表面温度(Sea Surface Temperature,SST)模拟的影响。敏感性数值实验结果表明,海表驱动场时间和空间分辨率的不同不仅会影响SST的模拟,而且会显著影响AMOC强度的模拟。相比高时间分辨率的海表驱动场,时间和空间分辨率的降低会造成AMOC模拟强度的减弱和SST的升高。月平均驱动场驱动的AMOC比6h分辨率驱动场驱动的控制实验减少6.7Sv,降低了34%;同为6h分辨率,粗空间分辨率大气驱动场模拟的AMOC比高空间分辨率实验减少1.4Sv,降低了7%。对海洋上层流场和海表热通量进一步分析表明,低时间和空间分辨率的海表风场的减弱是导致AMOC减弱和SST升高的主要原因。 相似文献
11.
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. 相似文献
12.
WRF模式空间分辨率对南海台风模拟的敏感性分析 总被引：3，自引：0，他引：3
为准确模拟南中国海台风路径和强度，对建立的WRF模式开展水平和垂向网格分辨率的敏感性分析。水平网格分辨率分别采用5 km，10 km，20 km，30 km以及15 km和5 km的嵌套方案等5种情况，垂向网格分辨率采用35层、28层和20层等3种情况，顶部最大压强采用1000 Pa，2000 Pa，3500 Pa和5000 Pa等4种情况，针对台风"启德"的路径和强度进行模拟分析。对不同条件组合下的台风路径、风速和海面压强进行对比，发现水平和垂向网格分辨率对台风路径的影响比较有限，对台风强度的影响相对显著。基于高精度空间分辨率模拟得到的台风强度与实测值吻合更好，采用嵌套网格技术对计算结果精度的提高效果显著。采用35层的垂向分辨率得到的模拟结果明显优于基于20层和28层得到的模拟结果。经过对比分析，确定适用于本研究的最优参数设置：水平空间分辨率采用15 km和5 km的双向嵌套网格方案；垂向分层为35层，顶部最大压强为2000 Pa。 相似文献
13.
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. 相似文献
14.
A mesoscale coupled atmosphere–ocean model has been developed based on the GRAPES(Global and Regional Assimilation and Prediction System) regional typhoon model(GRAPES_TYM) and ECOM-si(estuary, coast and ocean model(semi-implicit)). Coupling between the typhoon and ocean models was conducted by exchanging wind stress, heat, moisture fluxes, and sea surface temperatures(SSTs) using the coupler OASIS3.0. Numerical prediction experiments were run with and without coupling for the case of Typhoon Muifa in the western North Pacific. To investigate the impact of using more accurate SST information on the simulation of the track and the intensity of Typhoon Muifa, experiments were also conducted using increased SST resolution in the initial condition field of the control test. The results indicate that increasing SST resolution in the initial condition field somewhat improved the intensity forecast, and use of the coupled model improved the intensity forecast significantly, with mean absolute errors in maximum wind speed within 48 and 72 h reduced by 32% and 20%, respectively. Use of the coupled model also resulted in less pronounced over-prediction of the intensity of Typhoon Muifa by the GRAPES_TYM. Moreover, the effects of using the coupled model on the intensity varied throughout the different stages of the development of Muifa owing to changes in the oceanic mixed layer depth. The coupled model had pronounced effects during the later stage of Muifa but had no obvious effects during the earlier stage. The SSTs predicted by the coupled model decreased by about 5–6°C at most after the typhoon passed, in agreement with satellite data. Furthermore, based on analysis on the sea surface heat flux, wet static energy of the boundary layer, atmospheric temperature, and precipitation forecasted by the coupled model and the control test, the simulation results of this coupled atmosphere–ocean model can be considered to reasonably reflect the primary mechanisms underlying the interactions between tropical cyclones and oceans. 相似文献
15.
Eun Jin Kim Sok Kuh Kang Sung-Tae Jang Jae Hak Lee Young Ho Kim Hyoun-Woo Kang Yeong Yeon Kwon Young Ho Seung 《Ocean Science Journal》2010,45(3):159-170
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. 相似文献
16.
连续台风对海表温度和海表高度的影响 总被引：1，自引：0，他引：1
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。 相似文献