2008年西北太平洋热带气旋活动异常特征及成因分析

2008年西北太平洋热带气旋活动的特点:(1)初台异常偏早;(2)生成热带气旋异常偏少,但登陆热带气旋异常偏多,登陆热带气旋与生成热带气旋比例高;(3)从热带气旋的生成源地来看,2008年的热带气旋生成位置明显偏西.2008年热带气旋生成年频数异常偏少的主要原因:2008年仍处在生成热带气旋偏少的气候背景下,对流层低层...     

2008年西北太平洋热带气旋活动特征分析

对2008年西北太平洋及我国南海热带气旋的活动特征进行总结,并从多方面分析其成因.结果指出:2008年西北太平洋热带气旋活动的主要特征为生成总数少,源地集中,位置偏西;登陆数多、时间早;登陆地点偏南、时间集中等.其原因主要在于:在热带气旋的多发期副热带高压面积偏大、强度偏强、西伸脊点异常偏西,且脊线偏南,造成西北太平洋热带地区盛行偏东风,不利于热带扰动的生成和发展;同时,也使得在其南侧生成的热带气旋易在偏东气流的引导下登陆我国南方.另外,季风槽、垂直风切变、海表温度和热带辐合带上的对流活动等因子的异常分布都不利于热带气旋在西北太平洋东部海域生成,直接导致这一年热带气旋生成总数明显偏少,源地显著偏西.     

2010年西北太平洋与南海热带气旋活动异常的成因分析

利用中国气象局热带气旋（TC）资料、NCEP/NCAR 再分析资料和美国 NOAA 向外长波辐射（OLR）等资料,分析了2010年西北太平洋（WNP）及南海（SCS）热带气旋活动异常的可能成因,讨论了同期大气环流配置和海温外强迫对TC生成和登陆的动力和热力条件的影响。结果表明,2010年生成TC频数明显偏少,生成源地显著偏西,而登陆TC频数与常年持平。导致7～10月TC频数明显偏少的大尺度环境场特征为：副热带高压较常年异常偏强、西伸脊点偏西,季风槽位置异常偏西,弱垂直风切变带位置也较常年偏西且范围偏小,南亚高压异常偏强,贝加尔湖附近对流层低高层均为反气旋距平环流,这些关键环流因子的特征和配置都不利于 TC 在WNP的东部生成。影响TC活动的外强迫场特征为：2010年热带太平洋经历了El Ni?o事件于春末夏初消亡、La Ni?a事件于7月形成的转换;7～10月,WNP海表温度维持正距平,140°E以东为负距平且对流活动受到抑制;暖池次表层海温异常偏暖,对应上空850 hPa为东风距平,有利于季风槽偏西和TC在WNP的西北侧海域生成。WNP海表温度和暖池次表层海温的特征是2010年TC生成频数偏少、生成源地异常偏西的重要外强迫信号。有利于7～10月热带气旋西行和登陆的500 hPa风场特征为：北太平洋为反气旋环流距平,其南侧为东风异常,该东风异常南缘可到25°N,并向西扩展至中国大陆地区;南海和西北太平洋地区15°N以南的低纬也为东风异常;在这样的风场分布型下,TC容易受偏东气流引导西行并登陆我国沿海地区。这是2010年生成TC偏少但登陆TC并不少的重要环流条件。     

2010年和1998年西北太平洋热带气旋频数异常与东亚夏季风系统的关联性分析

利用西北太平洋编号台风资料、NCEP/NCAR再分析资料和NOAA向外长波辐射(outgoing longwave radiation,OLR)资料等,选取西北太平洋热带气旋频数异常偏少的2010年和1998年,诊断分析ENSO事件及其东亚夏季风环流异常与热带气旋频数异常的关系,给出东亚夏季风系统部分成员影响热带气旋频数的天气学图像:由春入夏,赤道东太平洋海温异常偏暖,赤道哈得来环流偏强,沃克环流偏弱;西太平洋副热带高压异常强大,位置偏西;季风槽位置偏南,东西向不发展;南海、西太平洋越赤道气流偏弱;异常热源和水汽汇偏南,南海和菲律宾以东地区对流活动受到抑制,热带对流活跃区位于赤道以南;热带气旋生成个数明显偏少,位置偏西。     

2004年西北太平洋热带气旋的活动特点与成因研究

对2004年台风汛期西北太平洋热带气旋的活动特点进行研究总结，进而对其成因做了分析。结果指出：2004年西北太平洋热带气旋主要特点是生成总数较常年略偏多，热带气旋生命史普遍较长、：生成时间相对集中、生成源地偏东，转向路径偏多，登陆气旋数多于常年平均值，登陆地段集中且偏北，集中在华东到日本一带。其成因在于：（1）副高面积偏大、强度偏强、位置偏北且西伸脊偏西，同时副高分布形态多呈块状，使得2004年台风的高频活动区向北偏移，直接对华东到日本一带造成威胁，乃至正面登陆影响；（2）澳大利亚高压强大，越赤道气流强，赤道辐合带辐合偏强、位置偏东，造成台风活动比较活跃且源地偏东；（3）西风带环流经向度较常年偏大而且副高多呈块状分布，东西两环副高之间形成的鞍型场有利于台风过此通道北上转向，导致转向台风偏多。     

7—9月登陆华南热带气旋频数异常与大气环流和海温的关系

利用1949—2021年中国气象局上海台风研究所热带气旋资料、NCEP/NCAR再分析资料、NOAA重构的海表温度资料（SST）和大气向外长波辐射（OLR）资料,采用线性趋势分析、Mann-Kendall检验等方法分析了近73年7—9月登陆华南热带气旋频数的变化特征。采用合成分析的方法研究7—9月登陆华南热带气旋频数异常与同期大气环流和海温的关系。结果表明,1949—2021年7—9月,登陆华南热带气旋有243个,年均3.3个,占全年登陆总数的70.2%。登陆华南热带气旋频数具有显著的年际和年代际变化特征。1973年最多（7个）,1950年最少（0个）;在1990年代中期由前期偏多转为后期偏少,但没有突变发生。近73年7—9月登陆华南热带气旋频数以0.1（10a）-1的速率减少。7—9月登陆华南热带气旋频数异常与大气环流和海温异常密切相关,在异常多、少年同期：（1）大气环流差值场上,南亚高压偏强、偏东、偏北,副高偏西、偏北、偏强,110°E以东的赤道东风引导气流偏强,季风槽加强,北半球中低纬海平面气压场东高西低,北高南低,同时南海、热带西太平洋对流活动加强。（2）海温差值场上,赤道中东太平洋偏冷,西太平洋暖池偏暖,沃克环流加强。高中低层大气环流和海温这种差异可能是导致登陆华南热带气旋频数异常的原因。     

两类厄尔尼诺事件对登陆中国热带气旋的影响

利用上海台风研究所整编的1951—2016年西北太平洋热带气旋最佳路径数据集,NCEP/NCAR再分析资料和NOAA的COBE SST再分析资料,〖JP〗按照热带气旋生成区域将热带气旋分为南海热带气旋与西北太平洋热带气旋两类,采用合成分析等统计学方法探讨了热带气旋活动盛期,登陆中国的热带气旋对东部型和中部型厄尔尼诺（El Niño）事件的响应。结果表明,热带气旋活动盛期,南海热带气旋在两类El Niño事件下生成频数差异不大;东部型El Niño存续期南海热带气旋登陆中国比率较中部型El Niño时偏低,登陆时强度较中部型偏弱。中部型El Niño存续期间,西北太平洋热带气旋生成频数比东部型El Niño时的频数偏高,而登陆中国热带气旋较东部型偏少,登陆时热带气旋强度较东部型偏弱;但两类El Niño事件期间西北太平洋热带气旋在中国的登陆率差异没有通过显著性检验。与中部型El Niño事件相比,在东部型El Niño事件期间,西北太平洋海面温度偏低,对流层中部水汽条件较差,对流层低层涡度异常偏低,同时在热带气旋较为集中生成的海域存在沃克（Walker）环流的异常下沉气流,西太平洋副热带高压偏强偏东偏南,共同导致登陆中国热带气旋频数偏少。     

2012年盛夏我国多台风特征及环流背景初步分析

利用西太平洋编号台风资料、NOAA卫星观测的地球向外长波辐射（OLR）资料、全球海表温度（SST）资料以及NCEP/NCAR逐日再分析资料,对2012年7—8月西太平洋地区生成并登陆或影响我国的台风特征及大尺度环流背景进行了初步分析。结果表明：7月中旬至8月底是当年台风生成和登陆的高度集中期,登陆比例之高、对我国影响范围之大等特征实属罕见;南亚高压偏强,中高纬＂两脊一槽＂环流型,东北地区为高压脊区,副热带高压稳定、强度增强且偏西偏北是这一时期的大气环流特征;副热带高压脊线位置在30°N以北有利台风初生,其南界位置偏北时,有利于部分台风生成于较高纬度,西伸指数持续偏高有利于台风集中登陆;夏季风明显增强和季风槽（ITCZ）位置变化、7—8月西太平洋SST正异常和OLR负异常可能是造成台风多发的原因,异常区域北界偏北也许是造成台风生成纬度偏北的原因。     

ElNino与影响福建的热带气旋

指出ElNino年登陆和影响福建的热带气旋较常年显著偏少,而LaNina年则较常年偏多。其机制是EiNino活动期间,西太平洋副高强度大,位置偏南、偏西,强对流带ITCZ位置偏南,热带气旋生成区对流活动弱;LaNina年西太平洋副局强度小,位置偏北、偏东,ITCZ位置偏北,热带气旋生成区对流活动旺盛,有利于热带气旋的生成及北上登陆或影响福建。     

ENSO与登陆我国热带气旋的关系研究

利用1951—2005年登陆我国热带气旋信息化资料、ENSO事件以及海温指数资料,讨论ENSO事件与登陆我国热带气旋的关系。结果表明,7—9月热带海洋持续维持ENSO事件状态,对当年登陆热带气旋有明显影响,暖（冷）事件年,登陆热带气旋频数易偏少（多）、初旋日期偏晚（早）、终旋日期偏早（晚）,活动期偏短（长）,平均登陆强度偏强（弱）,登陆TY频数偏少（多）,即ENSO事件对登陆热带气旋有明显的预报信号。当年有ENSO事件的结束或开始,但7—9月热带海洋维持正常偏暖（偏冷）状态,对当年的登陆热带气旋也有一定的影响。暖事件对登陆热带气旋的影响比冷事件更明显。     

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.     

VARIABILITY OF INTER-ANNUAL RELATIONSHIP BETWEEN INDIAN OCEAN DIPOLE AND HUAXI REGION’S AUTUMN PRECIPITATION

The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.     

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.     

全球贸易隐含碳变化及其影响分析

基于最新的GTAP8 (Global Trade Analysis Project）数据库,使用投入产出法,分析了2004年到2007年全球贸易变化下南北集团贸易隐含碳变化及对全球碳排放的影响。结果显示,随着发展中国家进出口规模扩张,全球贸易隐含碳流向的重心逐渐向发展中国家转移。2004年到2007年,发达国家高端设备制造业和服务业出口以及发展中国家资源、能源密集型行业及中低端制造业出口的趋势加强,该过程的生产转移导致全球碳排放增长4.15亿t,占研究时段全球贸易隐含碳增量的63%。未来发展中国家的出口隐含碳比重还将进一步提高。贸易变化带来的南北集团隐含碳流动变化对全球应对气候变化行动的影响日益突出,发达国家对此负有重要责任。     

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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