Cluster analysis of tropical cyclone tracks around Korea and its climatological properties

After the fuzzy clustering method (FCM) that analyzes the tracks of the tropical cyclones (TCs) struck the Korean peninsula (hereafter, K-TC) for a 60-year period (1951?C2010), it is found that both frequency and intensity of K-TC have been increased in recent years. In the order of the cluster number, both K-TC track pattern and its full-track pattern tended to shift southward. That is, while the passage frequency of TC in mainland China and the Manchurian regions decreased, it instead over the sea. Due to this decrease in the topographic effect on TC before reaching Korea, TC intensity around Korea became stronger. The vertical wind shear well reflected a TC intensity around Korea, which became weaker in mid-latitudes of East Asia. On the other hand, the peak month of K-TC frequency lags in the order of the cluster number. The two clusters that most TCs pass through the Korean Peninsula showed a stronger intensity and higher frequency before the 1970s. Meanwhile, another two clusters that most TCs pass through the Straits of Korea or the western region of the Japanese Islands showed those characteristics from the 1980s onward. Consequently, the changes in TC track, recurvature, frequency, and intensity around Korea were related to the southward shift of the western North Pacific high in the order of the cluster number.     

过去千年北大西洋热带气旋生成潜势的模拟研究:基于PMIP3气候模式

本文利用古气候模式比较计划第三阶段（PMIP3）10个耦合模式结果研究了过去千年北大西洋热带气旋生成潜势的空间特征。对于影响热带气旋生成的大尺度环境场而言,模拟结果表明中世纪暖期（950~1200A.D.）热带气旋潜在强度相对于小冰期（1600~1850A.D.）在北大西洋普遍增强,尤其是中纬度地区。中世纪暖期垂直风切变在10°~30°N之间的纬度带显著减小,而对流层中层相对湿度和低层绝对涡度在北大西洋东部增大。基于热带气旋生成潜势指数,中世纪暖期大尺度环境条件有利于热带气旋在北大西洋的生成和发展。同时,中世纪暖期热带气旋高空引导气流为东风异常,有利于热带气旋登陆北美地区。在百年尺度热带气旋气候态的角度,模拟结果与地质证据基本一致。此外,敏感性试验结果表明太阳辐射增加和火山活动减少对中世纪暖期北大西洋热带气旋生成潜势增加均有作用。

     

Characteristics of the changes in tropical cyclones influencing the South Korean region over the recent 10 years (2001–2010)

Through the investigation of tropical cyclone (TC) characteristics related to climate change, this study found that the frequency of TCs occurring over the Western North Pacific has recently decreased slightly, while their average intensity has increased. The number of overall TCs that passed within the vicinity of South Korea has also been reduced, but the number of strong typhoons in the area, those with maximum wind speeds of more than 44 m/s, has significantly increased. These changes are closely related to the following phenomena. (1) The average genesis region of TCs that influence South Korea has moved eastward. Accordingly, the TCs tend to strengthen as they move westward for long distances along the Intertropical Convergence Zone (ITCZ) trade easterlies and the southern boundary of the North Pacific Subtropical High (NPSH). (2) The NPSH and Asia Monsoon trough, which are known to affect TC tracks, have extended to the northwest and southeast. This has caused TCs that travel to higher latitudes and curve back toward the Korean Peninsula to become more frequent. (3) TCs have approached the Korean Peninsula without hitting land. In addition, the sea surface temperature became higher than it was before. These factors have caused TCs to maintain their strength or become stronger than before.     

Tropical Cyclone Impacts on Coastal Regions: the Case of the Yucatán and the Baja California Peninsulas,Mexico

Tropical cyclones (TCs) are large-scale natural disturbances that generate strong winds and heavy rainfall, impacting coastal and inland environments. TCs also influence biogeochemical and hydrological cycles controlling aquatic primary productivity in tropical and subtropical coastal ecosystems. We assessed TC landfall activity and identified sites along the Mexican east and west coasts with high frequency in the period 1970–2010 and evaluated TCs with significant precipitation. Changes in chlorophyll-a (Chl-a) concentrations before and after storm impacts were estimated using remotely sensed ocean color. There were 1,065 named TCs with a wide diversity in tracks. Three states with the highest number of landfalls were identified: Baja California Sur and Sinaloa on the west coast and Quintana Roo on the east coast. While a relative increase in Chl-a values following TC landfalls in the Baja California and Yucatán Peninsula regions appeared to be strongly linked to TC strength, the intensity of precipitation, the spatial scales of the two peninsulas, and the relative movement of TCs appeared to have contributed to Chl-a variability. Satellite estimates of Chl-a in the nearshore coastal waters following TC passage were likely enhanced by coastal morphology and water discharge along with constituents such as suspended particulate, colored dissolved organic matter and nutrients from rivers, tributaries, and groundwater.     

An index to assess the propensity of landfall in Australia of a tropical cyclone

Every year, Australian oceans experience the genesis of many tropical cyclones (TCs). About 40 percent of these make landfall. Because of the enormous difference in impacts between landfalling and non-landfalling TCs on coastal communities, the benefits would be enormous if it were possible to capture early the potentiality of landfall of a TC that has undergone genesis. Published literature identifies many factors such as location, warm sea surface temperature above 26 °C, conditional instability and high relative humidity in the middle troposphere and low vertical wind shear for the genesis of cyclones. Some of these factors could hold information about the potentiality of landfall while a TC is forming. An investigation into these factors actually revealed that a landfall potential index can be developed that can capture the potentiality of making a landfall. An attractive feature of this index is that it uses values at the time and location of genesis, providing a long and useful lead time. Furthermore, it is made into a dimensionless number, which makes for easy comprehension and interpretation.     

Tropical cyclones,global climate change and the role of Quaternary studies

The number and types of late Quaternary records of tropical cyclones (TCs) and temperate storms have been increasing globally over the past 10 years. There are now numerous such records for the Atlantic Ocean (USA) and Gulf of Mexico and Caribbean Sea, South Pacific Ocean, and a fewer number from the northwest Pacific and Indian Ocean regions. The most obvious characteristic of these records is that many reveal extended alternating periods of greater and lesser TC activity over the past 6000 years. The length of these phases of relative inactivity and greater activity depends on the chronological resolution of the record, with the coarser‐resolution ones displaying multi‐century to millennial‐scale episodes and the high‐resolution records displaying decadal to centennial‐scale oscillations. In several instances the likely causes of these alternating periods of TC behaviour have been attributed to different phases of climate when El Niños and La Niñas dominated or to longer‐term variations in sea surface temperatures and possibly solar forcing. The picture emerging from these records is that TC behaviour is not entirely stochastic over the long term and that any simulations of long‐term TC behaviour need to account for these climatic influences. Incorporation of these observations, and the many more needed, is important for understanding the future behaviour of TCs. Copyright © 2011 John Wiley & Sons, Ltd.     

Future variability of droughts in three Mediterranean catchments

This study investigates the intensity change in typhoons and storm surges surrounding the Korean Peninsula under global warming conditions as obtained from the MPI_ECHAM5 climate model using the A1B series. The authors use the Cyclostationary Empirical Orthogonal Function to estimate future background fields for typhoon simulations from twenty-first-century prediction results. A series of numerical experiments applies WRF (Weather Research and Forecasting) and POM (Prinston Ocean Model) models to simulate two historical typhoons, Maemi (2003) and Rusa (2002), and associated storm surges under real historical and future warming conditions. Applying numerical experiments to two typhoons, this study found that their central pressure dropped about 19 and 17 hPa, respectively, when considering the future sea surface temperature (a warming of 3.9 °C for 100 years) over the East China Sea (Exp. 1). The associated enhancement of storm surge height ranged from 16 to 67 cm along the southern coast of the Korean Peninsula. However, when the study considered global warming conditions for other atmospheric variables such as sea-level pressure, air temperature, relative humidity, geopotential height, and wind in the typhoon simulations (Exp. 2), the intensities of the two typhoons and their associated surge heights scarcely increased compared to the results of Exp. 1. Analyzing projected atmospheric variables, the authors found that air temperatures at the top of the storm around 200 hPa increased more than those at the surface in tropical and mid-latitudes. The reduced vertical temperature difference provided an unfavorable condition in the typhoon’s development even under conditions of global warming. This suggests that global warming may not always correlate with a large increase in the number of intense cyclones and/or an increase in associated storm surges.     

Customization of WRF-ARW model with physical parameterization schemes for the simulation of tropical cyclones over North Indian Ocean

The convection and planetary boundary layer (PBL) processes play significant role in the genesis and intensification of tropical cyclones (TCs). Several convection and PBL parameterization schemes incorporate these processes in the numerical weather prediction models. Therefore, a systematic intercomparison of performance of parameterization schemes is essential to customize a model. In this context, six combinations of physical parameterization schemes (2 PBL Schemes, YSU and MYJ, and 3 convection schemes, KF, BM, and GD) of WRF-ARW model are employed to obtain the optimum combination for the prediction of TCs over North Indian Ocean. Five cyclones are studied for sensitivity experiments and the out-coming combination is tested on real-time prediction of TCs during 2008. The tracks are also compared with those provided by the operational centers like NCEP, ECMWF, UKMO, NCMRWF, and IMD. It is found that the combination of YSU PBL scheme with KF convection scheme (YKF) provides a better prediction of intensity, track, and rainfall consistently. The average RMSE of intensity (13?hPa in CSLP and 11?m?s^?1 in 10-m wind), mean track, and landfall errors is found to be least with YKF combination. The equitable threat score (ETS) of YKF combination is more than 0.2 for the prediction of 24-h accumulated rainfall up to 125?mm. The vertical structural characteristics of cyclone inner core also recommend the YKF combination for Indian seas cyclones. In the real-time prediction of 2008 TCs, the 72-, 48-, and 24-h mean track errors are 172, 129, and 155?km and the mean landfall errors are 125, 73, and 66?km, respectively. Compared with the track of leading operational agencies, the WRF model is competing in 24?h (116?km error) and 72?h (166?km) but superior in 48-h (119?km) track forecast.     

An observational perspective on tropical cyclone activity over Indian seas in a warming environment

The genesis of tropical cyclones (TCs) over Indian seas comprising of Bay of Bengal (BoB) and Arabian Sea (AS) is highly seasonal with primary maximum in postmonsoon season (mid-September to December) and secondary maximum during premonsoon season (April and May). The present study is focused to demonstrate changes in genesis and intensity of TCs over Indian seas in warming environment. For this purpose, observational data of TCs, obtained from the India Meteorological Department (IMD), are analyzed. The sea surface temperature (SST), surface wind speed, and potential evaporation factor (PEF), obtained from the International Comprehensive Ocean Atmosphere Data Set (ICOADS), are also analyzed to examine the possible linkage with variations in TC activities over Indian seas. The study period has been divided into two epochs: past cooling period (PCP, period up to 1950) and current warming period (CWP, period after 1950) based on SST anomaly (became positive from 1950) over the BoB and AS. The study reveals that the number of severe cyclones (SCS) increases significantly (statistically significant at 99% confidence level) by about 41% during CWP though no such significant change is observed in cyclonic disturbances (CDs) and cyclones (CS) over Indian seas. It is also observed that the rate of dissipation of CS and SCS over Indian seas has been decreasing considerably by about 63 and 71%, respectively, during CWP. The analysis shows that the BoB contributes about 75% in each category of TCs and remaining 25% by the AS towards total of Indian seas. A detailed examination on genesis and intensity of TC over both the basins and the seasons illustrates that significant enhancement of SCS by about 65% during CWP is confined to the postmonsoon season of the BoB. Further, the BoB is sub-divided into northern, central, and southern sectors and the AS into western and eastern sectors based on genesis of TCs and SST gradient. Results show that in postmonsoon season during CWP, the number of SCS increases significantly by about 71% in southern BoB and 300% over western AS.     

Best track parameters of tropical cyclones over the North Indian Ocean: a review

India Meteorological Department has the responsibility of monitoring and prediction of cyclonic disturbances (CDs) including tropical cyclone (TC) and depression, collection, processing and archival of all data pertaining to CDs and preparation of best track data over the North Indian Ocean (NIO). The process of post-season analysis of CDs to determine the best estimate of a CD??s position and intensity along with other characteristics during its lifetime is described as ??best tracking??. The best tracking procedure has undergone several changes world-over including NIO due to change in definition and classification of TCs, monitoring and analysis tools and procedure and physical understanding of TCs. There have been a few attempts to document the temporal changes in the best track procedure including changes in observational network, monitoring technique, area of responsibility for monitoring, terminology and classification of the TCs over the NIO. Hence, a study has been undertaken to review the temporal variations in all the above aspects of best tracking procedure and its impact on quality of best track parameters over the NIO. The problems and prospective with the best track data over the (NIO) have been presented and discussed. Based on quality and availability, the whole period of best track information may be broadly classified into four phases, viz. (i) pre-1877, (ii) 1877?C1890, (iii) 1891?C1960 and (iv) 1961?C2010. The period of 1961?C2010 may be further classified into (a) 1961?C1973, (b) 1974?C1990 and (c) 1991?C2010. As optimum observational network including satellite leading to better estimation of location and intensity without missing of CDs was available since 1961, the climatology of genesis, location, intensity, movement (track) and landfall can be best represented based on the data set of 1961?C2010. The best track parameters need to be reanalysed since 1891, based on the present criteria/classification of CDs to develop a digital data set of every six hourly position, intensity and other characteristics throughout the life period of each recorded CD over the NIO to meet the world standard. At least attempt should be made from 1974 when all types of major data including satellite, radar, surface and upper air observations are available for best track analysis. The reanalysis of best track parameters can help in better understanding and prediction of CDs and address the issues related to climate change aspects over the NIO region.     

不同强度热带气旋对中国降水变化的影响

基于1960—2017年2 000多个气象台站逐日降水数据和中国气象局热带气旋(TC)最佳路径资料集,采用客观天气图分析法(OSAT)识别得到TC降水。研究表明,中国TC降水总体呈显著下降趋势,较12年前的研究结果下降趋势变缓;TC盛期(7~9月)降水占到TC总降水的78.5%,TC盛期降水和TC非盛期降水均呈显著下降趋势。TC降水气候趋势在空间分布上以减少为主要特征,并表现出明显的地域差异,自南向北呈"减少—增多—减少"的分布型,减少趋势中心位于广东和海南。按TC影响期最大强度分级(弱TC、中等强度TC和强TC)研究不同强度TC降水的变化,结果显示,强TC降水表现出显著减少趋势,主要决定着TC总降水的影响范围和趋势等主要特征。进一步分析发现,影响TC频数在1960—2017年呈显著减少趋势,并在1995年发生突变;对1995年前后2个时期的对比研究显示,与前一时期(1960—1994年)相比,后一时期(1995—2017年)影响TC活动频次在20°N以南的海域呈现出显著的减少趋势,减少大值中心位于南海北部,而且这一特征也主要由影响TC中的强TC所决定;强TC的这一变化趋势导致了华南地区尤其是广东和海南TC降水日数的减少,进而使得TC降水减少。     

Impact of Different Intensity Tropical Cyclones on Precipitation Changes in China

Based on the daily precipitation data of more than 2 000 meteorological stations from 1960 to 2017 and the tropical cyclone (TC) best-track data of the China Meteorological Administration, the TC precipitation was identified by the Objective Synoptic Analysis Technique (OSAT). The research shows that the TC precipitation in China has a significant downward trend, which is slower than that of the research results 12 years ago. The TC precipitation in the peaking season (July to Sepember) accounted for 78.5% of the total TC precipitation. Both TC precipitation in peaking season and other months showed a significant downward trend. The TC precipitation climate trend is mainly characterized by reduction in spatial distribution, and shows obvious regional differences. From south to north, there is a distribution of “decreasing-increasing-decreasing”, and the decreasing trend centers are located in Guangdong and Hainan. According to the maximum intensity in the TC influence period, we classified TCs into three levels (weak TCs, medium intensity TCs and strong TCs) and studied the variations of TC precipitation in different intensities. The results show that the strong TC precipitation shows a significant decrease trend, which mainly determines the influence range and trend of TC total precipitation. Further analysis found that the frequency of affecting TC showed a significant reduction trend during the time period of 1960-2017 and an abrupt shift occurred in 1995. A comparative study of the two periods before and after 1995 showed that compared with the previous period (1960-1994), the frequency of TCs in the latter period (1995-2017) showed a significant decreasing trend in the south of 20°N. The maximum decreasing center was located in the northern part of the South China Sea, and this feature was mainly affected by the strong TC. It was decided that this trend of strong TC led to a decrease trend in the number of precipitation days in South China, especially in Guangdong and Hainan, which led to a decrease trend in TC precipitation.     

On the driving forces of historical changes in the fatalities of tropical cyclone disasters in China from 1951 to 2014

Tropical cyclone (TC) disasters have frequently caused casualties in the coastal areas of China. According to the statistics of dead and missing people due to TCs from 1951 to 2014, the number of fatalities has been significantly decreasing over time. However, deadly TC events have still caused great losses of life in recent years, which are characterized as significant abrupt fluctuations superimposed along the downward trend of the long-term fatality time series. The numbers of fatalities caused by TC disasters are influenced by variables such as the intensity of TC hazards, the population exposed to TCs and the vulnerability of people to TC hazards. It is thus of great significance to analyze their temporal characteristics and understand the forces driving these changes. First, the time series of the TC wind, precipitation, spatial distribution of population, fatality and disaster risk reduction (DRR) measures of China from 1951 to 2014 are reconstructed. Second, the improved power dissipation index, total precipitation, integrated intensity and index of exposed population are calculated, and the population vulnerability indices, including mean and relative fatality rates, are derived. Third, the change trend of each index is detected using the Mann–Kendall test. Finally, the main driving factors of the long-term change trend and fluctuations of the TC fatalities are analyzed by a negative binomial regression model and standard deviation statistics. It is found that the decrease in vulnerability based on the improvement in structural and non-structural measures is the main driving force of the decreases in fatalities over the past six decades. Although the total population and exposure have increased dramatically in the coastal areas of China, their contributions to the increase in the fatality risk were counteracted by the decrease in vulnerability. Abrupt and catastrophic disasters were mostly caused by TCs with hazards of high intensity that surpassed the capacity of structural measures; the lack of forecasting or early warning, as well as improper emergency response actions, may also have triggered the great loss of lives. To reduce the fatalities of future TCs, especially those that may exceed the capacity of structural measures, the enhancement of non-structural measures and the adaptation of resilience strategies should be priorities for future people-centered disaster management.

     

河西走廊春末夏初降水的空间异常分布及年代际变化

利用河西走廊19个气象代表站建站至2002年5～6月降水量资料, 分析了河西走廊春末夏初干旱的基本气候特征; 在利用EOF和REOF方法进行降水空间异常变化分析和气候分区的基础上,讨论了第一时间系数(PC1)及各区代表站降水量的年代际变化规律. 结果表明, 河西走廊春末夏初降水量在第一空间尺度上为全区一致; 在第二空间尺度上可分为3个气候区; 在第三空间尺度上可分为5个自然气候区. 1980年代为近50 a来降水最多的10 a, 1990年代有所减少, 20世纪末至21世纪初有明显增加. 前期冬季欧亚径向环流加强, 亚洲区极涡面积扩大、强度加强, 冷空气活动频繁, 将有利于次年春末夏初河西走廊降水偏多. 欧洲青藏高原华北西太平洋的波列, 特别是东亚大槽的填塞和青藏高原低值系统频繁活动, 造成了500 hPa高空场上"东高西低"的典型多雨流型.     

夏季东亚大槽和副热带高压年代际变化的分析

通过调查40年东亚地区500 hPa平均位势高度场,结果显示东亚夏季高度场发生明显增高,增高主要发生在4～10月和120°E以西的亚欧大陆上,夏季西太平洋副热带高压明显西伸,夏季东亚大槽至少向西移动20个经度,这可能使我国西北降水增加而华北降水减少。另外印度半岛孟加拉湾高度场也有年代际增高趋势。通过公式诊断半球尺度的"极地—赤道"温度梯度减小和东亚大陆尺度的东西温度梯度减小是共同促使这次东亚大槽年代际西移和副热带高压北扩的主要原因。     

全新世暖期鼎盛期与未来变暖情景下东亚夏季降水和气温变化对比

利用通用气候系统模式（Community Climate System Model,简称CCSM）全新世和21世纪气候模拟试验数据,对比分析了全新世暖期鼎盛期和RCP4.5（Representative Concentration Pathway 4.5,简称RCP4.5）未来变暖情景下东亚地区夏季地表气温和降水的空间分布特征,并探讨了两个暖期夏季气候变化的成因机制。结果表明：1）全新世东亚地区最暖的夏季出现在9 ka B.P.前后,这与地球轨道参数有关;2）RCP4.5温室气体排放情景下21世纪整个东亚地区的夏季平均地表气温均呈上升趋势,而在全新世暖期鼎盛期东亚地区的夏季地表气温呈现同心圆状分布;3）全新世暖期鼎盛期和未来变暖情景下东亚地区夏季降水的空间分布有明显差异,前者东亚地区的夏季降水呈现"南负北正"的偶极子分布形态,而后者呈三极子形势;前者东亚夏季降水的变化幅度明显强于后者;4）全新世暖期鼎盛期副高偏强,中国东部偏南气流较强;而在RCP4.5未来变暖情景下副高偏弱。     

Characteristics of tropical cyclones in China and their impacts analysis

This paper discusses the characteristics of tropical cyclones (TCs) based on available data from 1951 to 2008, including the frequency of TC generation in the Western North Pacific (WNP) and those which make landfall in China. The impacts of TCs on both human and economic losses for the period 1983–2008 are also discussed. Examination of the frequency indicates a decreasing trend in the generation of TCs in the WNP since the 1980s, but the number of TCs making landfall has remained constant or shown only a slight decreasing trend. The number of casualties caused by TCs in China appears to show a slight decreasing trend while the value of economic loss is increasing significantly. These results can be attributed to increased natural disaster prevention and mitigation efforts by the Chinese government in recent years, and also reflect the rapid economic development in China particularly in TC-prone areas.     

南黄海黑碳记录的中国东部晚上新世以来C3/C4植被演化

陆地植被是全球生态系统的重要组成部分,其C₃/C₄组成类型及演化进程对于理解过去生态系统对全球变化的响应及适应机制具有重要科学意义。晚上新世以来东亚C₄植被扩张的时间、过程和机制等仍存很大争议,尤其缺少长江流域C₃/C₄植被相对丰度演化的地质记录及不同纬度植被演化的时空综合对比。本研究利用大陆架科学钻探计划在南黄海钻取的CSDP-1孔约300.10m长的岩芯沉积物的黑碳含量、通量及碳同位素组成,重建了晚上新世以来中国东部地区C₃/C₄植被演化历史。研究发现,在晚上新世（约3.0~2.6Ma）,黑碳碳同位素组成发生明显正偏,指示沉积物源区长江流域的C₄植被相对丰度的增加,可能受到了中低纬度地区干旱化增强及大气CO₂浓度下降的共同影响;而中高纬度如黄土高原地区的C₄植被则相对减少,推测更低的温度可能成为了C₄植被生长的限制因素。中更新世（约1.0Ma）以来,黑碳碳同位素比值整体负偏,表明源区C₄植被相对丰度减少。尽管沉积物源区在0.8Ma左右转变为纬度更高的黄河流域,但东亚不同纬度地区记录均显示了碳同位素负偏,表明这是一区域现象,分析认为全球气候变冷是影响中更新世以来C₄植被演化的重要因素。本研究揭示出,除了全球性的因素（大气CO₂浓度）外,区域气候（温度和干旱度）在东亚地区C₃/C₄植被长期演化中具有重要影响。

     

中国沿海登陆热带气旋活动特征分析

热带气旋是危害中国最严重的天气系统,分析和认识中国沿海登陆热带气旋活动的新特征对防灾减灾具有重要意义。依据近70年气象资料,采用统计学方法,对登陆中国沿海的热带气旋特征进行分析,研究发现:在气候变化的背景下,登陆中国的热带气旋发生了明显变化。近年台风登陆频数高于往年平均,其整体强度和最大值均呈增大趋势,年台风强度的不稳定性加剧;研究还发现台风强度越高,其生成地纬度带范围越窄且越靠近赤道;建立了高强度热带气旋（STY和SUPER TY）时间和纬度的关系"φ—m"。检验了台风季长与初旋日呈负相关且不受厄尔尼诺现象影响,台风季长符合正态分布并给出概率密度公式。     

Effects of various combinations of boundary layer schemes and microphysics schemes on the track forecasts of tropical cyclones over the South China Sea

This study investigates the effects of various combinations of the planetary boundary layer (PBL) schemes and the microphysics schemes on the numerical forecasting of tropical cyclones (TCs). Using different combinations of three PBL schemes (YSU, MYJ and MYNN2) and four microphysics schemes (Ferrier, Goddard, WSM6 and Lin), a number of experiments are carried out for five landed TCs in the South China Sea during 2012. Results show that the combination of the YSU and Ferrier schemes performs the best for the TC track forecasting, although it does not perform the best for the forecast of precipitation. Further analysis reveals that the best performance of the track forecast by the combination of the YSU and Ferrier schemes mainly attributes to a more accurate steering flow as well as TC wind structure produced by this combination. These results provide a valuable reference to the operational numerical forecasting of TC tracks in the future.