登陆中国不同强度热带气旋的变化特征

根据《热带气旋等级》国家标准(2006),将热带气旋(TC)划分为热带低压(TD)、热带风暴(TS)、强热带风暴(STS)、台风(TY)、强台风(STY)、超强台风(SSTY)6个等级,利用中国气象局整编的1949—2006年共58年的《台风年鉴》和《热带气旋年鉴》资料,分析了登陆中国大陆、海南和台湾不同强度TC变化特征。结果表明：(1) 不同强度登陆TC频数存在年际和年代际变化,在长期趋势上,TD、TS登陆频数呈现显著的线性递减趋势,STY登陆频数呈现显著增加趋势。(2) 登陆TD、TS、STS存在6—8年的周期变化,TY具有准16年的周期变化。(3) 登陆TD、TS主要生成于南海东北部海面,登陆TY、STY、SSTY多生成于巴士海峡东南部海面和菲律宾以东洋面。(4) 在年代际变化上,南海生成的登陆TD、TS频数有减少趋势,TY、STY有增多趋势。     

登陆中国大陆、海南和台湾的热带气旋及其相互关系

首先,针对登陆中国热带气旋的登陆地点资料仅为地名的现状,利用1951-2004年西北太平洋热带气旋资料和登陆中国热带气旋资料,研究制定了登陆资料信息化方案.该方案包括海岸线近似、登陆位置计算、其他特征量计算和误差订正4个方面.对资料信息化结果的分析表明:信息化登陆资料效果是良好的.在此基础上,对登陆中国热带气旋的基本气候特征进行研究,重点分析了在大陆、海南和台湾登陆的3类热带气旋以及它们的相互关系.结果表明:登陆热带气旋频繁的地区为台湾东部沿海、福建至雷州半岛沿海和海南东部沿海;台湾东部沿海和浙江沿海部分地区是登陆热带气旋平均强度最大的地区,平均登陆强度达到台风级别,其中台湾南端的平均登陆强度为最强,达到强台风级别;5-11月为热带气旋登陆中国季节,集中期为7-9月,8月最多;登陆热带气旋的强度主要集中在热带低压-台风,尤其以强热带风暴和台风最多.对于全部大陆、海南和台湾三地,50多年来登陆热带气旋频数都存在不同程度的减少趋势,但只有登陆海南热带气旋的减少趋势是显著的;而所有登陆风暴(含以上强度)频数均无明显增多或减少趋势.总体而言,登陆大陆的TC最多、初旋最早、终旋最晚、登陆期最长;登陆海南的TC居中;而登陆台湾的TC最少、初旋最晚、终旋最早、登陆期最短.从登陆方式看,登陆一地的TC最多、登陆两地的TC次之,分别占总数的79.2%和20.6%,仅有1个TC登陆三地.在登陆两地的TC中,经台湾登陆大陆的TC频数最多、强度减弱最快,经海南登陆大陆的TC频数次之、强度减弱较慢,经大陆登陆海南的TC频数排行第3、强度减弱较快.     

近58年来登陆中国热带气旋气候变化特征

利用1949-2006年<台风年鉴>和<热带气旋年鉴>资料,主要分析了1949-2006年登陆中国热带气旋的频数、登陆位置、登陆季节延续期和登陆强度等要素及其概率分布的年际和年代际变化特征.结果表明:近58年来,登陆中国热带气旋年频数有减少趋势,但登陆时达台风强度的年频数变化不明显;按登陆地点分区统计发现,登陆华南地区的热带低压及(强)热带风暴年频数以减少为主,而登陆东部地区的热带气旋年频数变化不明显.登陆点历年最北位置(最南位置)有南移(弱的北移)趋势,导致登陆点历年南北最大纬度差逐渐减小,这表明热带气旋登陆区域更为集中,在23°-35°N增多,而在35°N以北和23°N以南以减少为主.登陆中国热带气旋季节延续期缩短了近1个月.热带气旋年平均登陆强度及其概率分布偏度有增加趋势,表明登陆的强台风有增加;登陆中国华南和东部地区的台风强度都有增强趋势,前者比后者趋势更明显.另外,热带气旋年最大登陆强度差长期呈现减小的趋势.     

基于新等级标准中国登陆热带气旋气候及变化特征

利用1949-2006年热带气旋（TC）年鉴资料,根据2006年新制定的TC等级标准,分析了登陆我国TC的气候特征。结果表明：登陆TC中强热带风暴（STS,38．5％）最多,其余依次为台风（TY）、热带风暴（TS）、强台风（STY）和超强台风（SuperTY）。59％的STY和66．7％的SuperTY在台湾省登陆,尽管登陆广东的TC最多,但登陆的STY和SuperTY却很少。7～9月是TC登陆活跃期,而8～9月登陆TC平均强度最强。登陆TC频数具有明显的年际和年代际变化特征,其中登陆TC频数呈弱的减少趋势,而TY及以上级别TC频数则有增加趋势。在全球气候变暖背景下,登陆TC的生成源地有向北移的趋势,然而近年来南落明显。登陆TC的平均强度出现减弱趋势,但进入21世纪以来,平均强度显著增强,尤其是TC逐年强度极值表现更为明显。登陆TC的平均登陆点无明显的南北偏移,但逐年登陆点最北纬度在20世纪70年代中期以后有南落现象,以35°N以南为主。     

登陆中国热带风暴年际和年代际变化及其与全球大尺度环流的相关

利用集合经验模态分解（EEMD）方法研究了登陆中国热带风暴频数的非平稳年际和年代际变化主要周期型。对1951—2006年登陆中国的热带风暴频数序列进行分解,分别得到包含有准4年（C01）、6～7年（C02）的年际周期分量和14～16年（C03）的年代际周期分量的时间变化型。这些分量给出了登陆中国热带风暴频数在不同时间尺度上独立的变化特征,其中C01周期分量强度最大,且与ENSO有关。登陆中国的热带风暴频数趋势分量不显著,表明近56年来登陆中国热带风暴无明显增加（减少）趋势。这些周期分量与夏季海平面气压场的相关分析表明,登陆中国热带风暴频数年代际变化与南半球热带和中高纬度环流系统的相互作用密切相关。     

1949—2009年西北太平洋热带气旋气候特征

利用1949—2009年中国气象局热带气旋（TC:Tropical Cyclone）最佳路径数据集,对西北太平洋TC生成源地的时空分布、生成和登陆我国TC的年、月频数分布、强度分布和地理分布等气候特征进行统计分析。研究结果表明：在这61年中生成的TC呈减少趋势,登陆我国的TC数量比较稳定,不过近10年来登陆的较强TC数量却呈现出上升趋势;每年6—10月是TC高发期,强度等级越高的TC生成季节越偏晚,而8月是生成和登陆数量最多的月份;TC平均生命期随强度等级的增加而增大,且逐渐表现出单峰值分布特征;TC频数的地理分布以我国南海和菲律宾以东洋面为中心,向四周呈辐射状减少,近10年来其活动范围有所西伸加强。     

浙江热带气旋气候特征及其与环境场的关系

根据1950～2006年共57年的热带气旋(TC)年鉴资料对影响浙江热带气旋的气候特征进行了统计,结果表明,在影响我国和登陆我国热带气旋频数呈减少趋势的背景下,影响浙江和登陆浙江的热带气旋频数呈增加趋势,20世纪90年代以来,这种相反态势尤为明显。影响和登陆浙江TC频数均存在准15年和准25年的长周期,短周期则分别为准5年和准8年。影响浙江TC平均源地较影响我国TC平均源地偏北和偏东,90年代以来,影响浙江TC平均源地偏西、偏北。通过对热带气旋集中活动期(7～9月)的东亚环流形势进行分析发现,影响浙江TC偏多和偏少年,东亚高、中、低各层环流场特征几乎相反。     

登陆华东热带气旋的气候特征分析

利用1949—2006年西北太平洋及南海的热带气旋（TC）资料,分析了登陆我国的TC强度、登陆时间、登陆后路径趋向及强度变化等气候特征,并重点讨论了直接登陆华东和登陆台湾后再次登陆华东的TC路径和强度趋势差异。结果表明,直接登陆华东的TC比登陆台湾后再次登陆华东（以下简称为间接登陆）的TC更易北上或北上转向,而间接登陆的TC更易维持西偏北行;另外直接登陆华东的TC登陆后的强度更易维持,其登陆后路径趋向在西北偏西和西南方位的强度明显减弱的百分比率比其它方位的大。      

1957-2004年影响我国的强热带气旋频数和强度变化

以中国气象局西北太平洋热带气旋资料为基础,分析1957-2004年影响我国并达到台风强度以上的三类热带气旋,即生成热带气旋、影响热带气旋和登陆热带气旋的频数和强度的变化。结果表明：强热带气旋频数在1957-2004年间呈显著减少趋势,强度越强,其减少趋势越明显。近50 a台风以上强度的强热带气旋频次占总频次的比例没有明显的增加或减少趋势,强台风和超强台风比例呈减少趋势。1957-2004年热带气旋的最大强度呈线性减弱趋势,生成热带气旋和影响热带气旋的平均强度亦呈减弱趋势,登陆台风的平均强度也呈减弱趋势。     

2009年西北太平洋热带气旋活动的若干特点分析

2009年西北太平洋及南海海域共生成23个风暴以上等级的热带气旋(TC),比常年偏少,但登陆我国的频数(10个)多于常年,台风以上等级TC的活动强于常年.TC源地较常年偏西,并且季节性纬向迁移特征明显,而经向位移并无显著异常,在南海海域生成的TC比例(26.1%)远高于气候均值;路径以西行和西北行为主.登陆华南TC较多...     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.     

Information for Authors

正AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography. Contributions from all over the world are welcome.SUBMISSIONAll submitted     

Information for Authors

AIMS AND SCOPE Atmospheric and Oceanic Science Letters （AOSL） pub- lishes short research letters on all disciplines of the atmos- phere sciences and physical oceanography. Contributions from all over the world are welcome.