气旋爆发性发展过程的动力特征及能量学研究

本文对不同路径的爆发性气旋进行了动力特征及能量学研究。发现高空大值位涡空气的下伸是气旋爆发性发展的一个重要条件。初生气旋逐渐向强位涡区移近并形成上下位涡区相接的形势。使气旋迅速发展。高空急流与气旋发展有密切关系。发展中的气旋明显地向着急流左侧的辐散区移动。急流的突然加强及高空强风动量的不断下传，构成了下层的强风带及上下一致的急流结构。能量学研究指出在气旋发展前气旋内散度风动能向旋转风动能的转换突然增强。散度风动能在爆发气旋发展时有明显增长。     

引发黑龙江省暴雪爆发性气旋个例动力分析

利用气象站综合观测资料和NCEP FNL的1°×1°再分析资料,分析了2013年11月25日黑龙江省大暴雪的环流特征和气旋爆发性增长过程;在此基础上,对涡度平流、高低空急流的分布特征和垂直结构及湿位涡的正压项和斜压项对气旋爆发性增长的贡献进行了深入细致的研究,探索此次爆发性气旋发展的动力学机制.结果表明:此次黑龙江省暴雪过程地面气旋中心位于槽前最大正涡度平流区下方,正涡度平流使等压面降低,地面减压,气旋获得发展.地面气旋始终位于南支高空急流核左前方和北支高空急流核右后方,两支高空急流的动力作用均引起强辐散.高、低空急流耦合的区域,使高层强辐散和低层强辐合叠置,加强了气旋中心附近的上升运动,从而使气旋和降雪的强度得到加强.气旋在强斜压大气中获得爆发性增长,气旋的爆发与湿位涡的分布和演变关系密切,高层正湿位涡下传,使低层湿位涡增大,气旋获得发展;当高层ξmpv1线趋于准水平状态时,正湿位涡下传造成低层湿位涡发展结束,气旋发展停止并逐渐减弱.大气湿斜压性增加可引起垂直涡度的显著增加,促使气旋爆发性增长,垂直涡度的变化滞后于湿斜压性的变化.     

影响东北的两个罕见气旋发展机制对比

2007年3月3—5日和2016年5月2—3日有两个气旋（简称C304和C502）在江淮流域生成后,以相似路径影响东北地区,但发展强度不同。利用常规观测资料和NCEP FNL分析资料,通过对涡度平流、温度平流、湿位势涡度及锋生函数等物理量进行诊断并结合高、低空环流形势对两个气旋发展动力机制进行对比分析,结果表明:C304低空温度平流在气旋发展初期起主要作用,高空正涡度平流为地面气旋发展提供高空辐散场,地面气旋中心上空垂直上升运动增强,对流层低层斜压性明显,气旋性涡度增加主要在对流层下层,低空斜压强迫是主要发展机制;C502低空温度平流弱,斜压性不明显,高空正涡度平流促使高空闭合环流发展,对流层上层有高湿位涡舌发展下垂并与对流层下层正湿位涡柱耦合贯通,垂直上升运动分布在地面气旋中心两侧,高空位涡下传是主要发展机制。两个气旋发生发展在对流层上层两支急流共存、急流非纬向性反气旋性弯曲环流形势下,对流层低层为气旋式环流背景。     

一次强沙尘暴和雪暴天气过程的诊断及模拟分析

利用基本气象资料和T213数值预报产品资料,对发生在内蒙古大部分地区的一次强风、强沙尘暴、强雪暴和强降温天气过程进行了动力诊断和模拟分析。结果表明,强冷空气活动是造成多种灾害的主要动力,高空急流是强风的动量来源,蒙古气旋强烈发展造成的气压梯度风加剧了地面大风和沙尘暴。强烈的冷、暖平流空间配置使大风、沙尘暴和降温更为剧烈。散度场的空间配置有利于沙尘暴、暴风雪的发展。高空西风急流对低空西南急流具有耦合和触发作用,低空西南急流的建立和长距离的水汽输送与辐合,成为内蒙古东部产生暴雪的重要条件,低层东风切变带中的正涡度平流的输送,叠加到了较好的水汽输送及辐合区域,加大了降雪。后期低层西北急流的形成,是产生暴风雪的重要原因。数值模拟结果表明,模拟高压、低压中心位置和强度与实况较为吻合,气旋的气压梯度强度与实况较为接近;冷暖平流在分布区域、输送方向、强中心位置上也与实况具有较相似的特征,但是温度平流模拟的结果在量值上略大于实况。     

2007年内蒙古最强沙尘暴天气过程分析

利用基本气象资料和T213数值预报产品资料,对2007年发生在内蒙古大部地区最强的一次强沙尘暴天气过程进行了天气和动力诊断分析。结果表明：高空急流是强风的动量来源;中低层的温度平流输送过程和较强的斜压强迫是蒙古气旋发展的前期原因;蒙古气旋强烈发展的梯度风、高低空急流的动量下传风促使气旋爆发性发展和产生沙尘暴。在沙尘暴天气的形成中,湍流条件也起到重要的作用。     

一次辽宁秋季暴雨天气的诊断分析

使用1.0°×1.0°NCEP再分析资料,对2006年10月21—22日深秋暴雨在天气形势分析的基础上,进行物理量诊断。结果表明:在有利的环境背景形势下,高位涡从对流层高层向低层伸展并形成湿位涡柱,引起气旋性环流与低涡环流叠加。对流层低层的湿斜压性增强,引起低层的锋区加强及垂直涡度发展,高空入侵干冷空气锲入底层,低层暖湿空气强迫抬升,使地面发展为气旋;高低空急流耦合产生上升气流,同时较强的补偿下沉运动激发上升运动加强,使次级环流加强,触发不稳定能量的释放;低空急流和超低空急流向辽宁输送暖湿空气及能量,对流层中低层形成湿柱并积聚高不稳定能量;中尺度气旋、高低空急流、湿位涡柱、次级环流上升支、地面高水汽含量湿区、高假相当位温出现的时间、强度、位置和结构决定了暴雨的时间和落区。     

一次台风变性并入东北冷涡过程的动力诊断分析

台风北移变性并入东北冷涡是造成东北地区夏季大范围暴雨的主要形式之一, 但其中的热动力结构变化特征及其物理机制尚不清晰。本文利用美国国家环境预报中心(NCEP)的再分析资料对一次台风变性并入东北冷涡过程进行动力诊断分析, 分析结果显示:冷涡冷空气的不断侵入以及台风移动形成的相对冷平流使得台风暖心结构消亡, 其低层低压辐合和高层高压辐散结构消失, 变性并入东北冷涡后气旋整层偏冷, 低层出现冷中心。台风变性并入东北冷涡过程中, 冷涡中心附近高空急流南侧的反气旋切变抑制气旋直接往高空发展, 而急流轴左侧的热动力分布特征有利于垂直涡度的发展, 变性后的气旋环流向冷涡的移近有利于急流轴维持倾斜, 从而促进气旋向高空冷涡倾斜发展。同时, 冷空气在气旋低层附近堆积导致等假相当位温线发生倾斜, 造成垂直涡度在气旋中层倾斜发展。台风变性并入东北冷涡后, 高空冷涡槽底的正垂直涡度平流促进气旋由中层直接向高层发展, 而高空冷涡槽底急流促进正垂直涡度平流的维持。气旋高空环流的发展反过来削弱了东北冷涡的高层环流, 导致高空冷涡中心出现北撤。     

气旋波动研究进程及研究方法

较全面地回顾与阐述了气旋波动研究进程及研究方法, 其中包括Bjerknes气旋模式, 以及Bjerknes and Solherg (1922) 提出的温带气旋生命循环和Petterssen (1956) 对气旋温度结构的描述, 并指出凝结潜热及地形对气旋发展的作用。还较详细地介绍了Petterssen (1956) 气旋发展理论、倾斜涡度发展理论、来自准地转 方程及位涡思考的气旋生成理论, 以及高空超长波系统发展与高空急流加强有利于低层爆发性气旋发展的学术观点, 为气旋的研究提供了历史研究背景、研究思想及方法。     

春夏季节黄河气旋经渤海发展时影响因子对比研究

利用2008—2012年台站资料、NCEP(National Centers for Environ mental Prediction) FNL(Final Operational Global Analysis)1°×1°再分析资料,将近5年经过渤海持续发展的黄河气旋分为夏季型和春季型,采用动态合成法对两类气旋的结构和黄渤海海域的热力、动力、水汽等影响因子进行对比分析。结果表明：经过渤海时,夏季型气旋主要伴随大范围的强降水,而春季型气旋主要形成强风区。春夏季黄河气旋均为冷暖交汇的斜压性结构,但夏季型有偏暖中心,斜压性弱于春季型。春季高空急流位于气旋南部,其左侧正涡度区维持气旋的深厚,且气旋后部高空动量下传与锋面二级环流及平坦海面配合有利于气旋低层大风迅速增强。夏季高空急流位于气旋北部,高空强辐散区和低层辐合区配置加强了气旋中的上升运动,有利于气旋强降水和凝结潜热释放。气旋发展阶段,扰动位能向动能的转化,支持气旋动能的维持与加强。湿位涡计算显示,夏季气旋中有深厚的干空气下沉,干湿梯度强,尺度大,有利于气旋的强降水,春季气旋中干湿梯度小,分布零散,对应降水强度和范围均小。黄渤海为气旋主要水汽输送通道,夏季海温相对春季高,水汽充沛,春季水汽辐合量仅为夏季三分之一。海洋下垫面作用对春季气旋影响大,在夏季作用不明显。夏季海面潜热加热影响为主,春季感热加热影响明显。     

一次东海气旋爆发性发展数值模拟

在2006年6月1日发生在东海的爆发性气旋的天气学分析基础上,进行数值模拟,以进一步认识其爆发性发展的物理机制。结果表明:这次东海气旋的地面系统来自台湾岛附近的海上倒槽,在浙北沿海遇到高空比较深厚的低槽,大尺度高空槽通过槽前正涡度输送和槽前后冷暖平流对斜压不稳定的加强作用为气旋发展和维持提供有利的环境。同时,高空急流也通过其出口区的辐散和暖平流为气旋发展和维持提供有利的环境。中低层在舟山海域的强涡度平流的抬升作用产生降水,并通过水汽凝结引起潜热释放,进一步造成地面气旋系统的发展,此时气旋和降水形成正反馈机制。潜热释放被高空槽前斜压不稳定和急流出口区右侧辐散共同引起的上升运动激发后,对气旋的发展起着重要作用。     

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.