2012年6月25—26日贵州省大暴雨天气诊断分析

利用Micaps常规气象资料、贵州省自动站资料、NCEP/NCAR资料和FY-2E卫星TBB资料对2012年6月25—26日贵州地区的暴雨过程进行了分析。结果表明:此次暴雨是受到500 hPa西风槽,700 hPa西南低涡和高低空急流的影响,暴雨落区主要位于500 hPa西风槽附近的上升区,西南低涡中心的东南侧,低空急流的北边和高空急流南边。暴雨发生所需的丰富水汽主要来源于南海,其次东海和孟加拉湾也有贡献,水汽辐合中心与强对流云团有很好的对应。垂直螺旋度的分析表明其与雨强中心有很好的对应关系,雨强中心位于中低层的垂直螺旋度正值中心的附近以及其东北侧。而湿位涡的分析表明本次暴雨的发生与暴雨落区北侧中高层"干入侵"有关,暴雨区低层存在着对流不稳定。     

2012年初夏滇中首场暴雨过程诊断分析

利用地面加密观测资料、多普勒天气雷达回波强度、卫星云图TBB资料和NCEP 1°×1°分析资料,应用滤波和广义位涡理论, 对2012年6月1—2日云南省中部的首场切变冷锋型暴雨天气过程进行诊断分析。结果表明:中尺度天气系统是该次暴雨产生的直接原因, 强降水均发生在云顶亮温等值线梯度较大一侧,回波强度空间分布不均匀,回波发展高度较低,但回波结构致密,低质心,以液态降水粒子为主,因此降水分布不均匀,但降水效率高;水汽源地为孟加拉湾;低层水汽通量辐合带与冷锋、切变线、中尺度辐合线以及β中尺度低涡位置有较好的对应关系;700 hPa,850 hPa水汽通量强辐合区中心位置叠加时,其所在区域地面降水增强;强降水区域上空中低层广义湿位涡的正异常现象体现了降水区中低层高水汽集中特征;单站上空低层的广义湿位涡正异常增加时,地面降水强度增加,反之减小;800 hPa广义湿位涡正异常区对地面降水分布有一定指示作用,但暴雨中心与广义湿位涡强中心并不完全重合。     

“0812”关中盛夏突发性暴雨中尺度特征分析

基于WRF模式多普勒雷达同化预报、1 °×1 °的NCEP再分析资料、云图TBB和本地加密观测资料,对2014年8月12日关中地区突发性暴雨过程（“0812”暴雨）进行诊断分析。结果表明:同化C波段雷达资料能有效提升WRF对此次突发性暴雨的预报能力。受中高层北部冷空气侵入和低层冷式切变南压的影响,在“0812”暴雨期间,关中的北部和东部的地面切变辐合线附近先后出现了南北向和东西向的中β尺度重力波,波动持续约4 h、波长约60 km。当北部波动向南传播发展与东部波动合并之后,重力波快速消散,强降水结束。暴雨发生前,波动区的垂直上升速度、雨水含量中心强度和发展高度均迅速达到最大,陕北地区对流层中上部的正湿位涡显著向南下滑至关中上空,出现了有利于中尺度波动发展的湿位涡波列结构,暴雨中心近地层的正湿位涡和垂直梯度异常增大。200 hPa高空急流区南侧、关中西部垂直风切变显著增大及其东移南压为中尺度波动快速发展、传播提供了能量。500 hPa内蒙古中部天气尺度横槽发展东移、引导中低层偏北路冷空气南压,是突发性暴雨的直接影响系统。850 hPa的比湿突增为暴雨提供了热力、水汽条件。近地层显著东南风、不稳定扰动增大和地面切变线是暴雨的有利动力、触发条件;在地面切变线西端附近,3 h变压场出现显著中尺度波动特征。“0812”暴雨与典型盛夏暴雨差异明显:西太平洋副热带高压远离大陆、东南沿海无台风活动,关中低层出现西北路水汽输送,强降雨区周边700 hPa以上深厚位势稳定层结、近地层不稳定层结垂直叠置有利于重力波动发展传播,中尺度对流云团高度低,雷达强降水回波主要位于低层西北风和东北风之间的冷式切变区。      

2009年7月8-9日泰安市暴雨成因分析

2009年7月8-9日发生在泰安的暴雨天气过程主要是在副高西进北抬、副高边缘西南暖湿气流与高空低槽东移南压相结合的大尺度环流下,由黄河北部的低层中尺度切变线和鲁中地区的小低涡以及低空西南急流共同作用造成的.低空西南急流为大暴雨的产生输送了充足的水汽,低涡加大了辐合上升运动和水汽辐合.850 hPa低空大气散度辐合中心正处于泰安,垂直速度强上升区也在鲁中地区,为暴雨产生提供了足够的动力条件,低层850 hPa假相当位温θse＞75 ℃的高能舌为这次暴雨提供了不稳定能量.     

2003年7月8～9日江淮流域暴雨过程中涡旋的结构特征分析

2003年淮河流域梅雨期 (6月29日～7月11日) 的强降水过程有三次: 6月29日～7月1日、 7月3～5日及7月8～11日。本文对7月8日12时～9日12时期间湖南、 安徽和江苏发生的强降水过程的中尺度数值模式MM5的输出资料进行了诊断分析。分析结果表明: 除大尺度系统的配置有利于此次降水的发生以外, 此次降水主要发生在由西南及偏南暖湿气流与偏北气流辐合形成的梅雨锋切变线上, 切变线上辐合中心处生成并发展的两个中尺度低涡是造成降水的直接系统。低空西南风急流形成了从孟加拉湾、 南海至华东地区的强水汽输送带以及湖南、 安徽和江苏的水汽辐合中心, 为暴雨创造了十分有利的水汽条件。在低层切变线的辐合中心处有两个低涡分别生成或发展, 并沿切变线向东北方向移动, 这两个低涡生成的位置是低空急流左前侧急流达到极值的区域 (也是正涡度中心区), 其生成可能与低空急流的加强有关。在低涡附近, 低层水汽辐合较强, 且对流层中低层形成了强正涡度中心和强散度中心相耦合的动力结构, 并有强上升运动维持, 使得低层辐合的水汽被抬升到对流层高层, 有利于暴雨的发生。     

2013年4月29—30日景德镇地区锋面暴雨过程分析

利用常规气象观测资料、NCEP 1°×1°格点数据以及FY-2E相当黑体亮温（TBB）资料,对2013年4月29—30日景德镇地区锋面暴雨产生的原因进行了初步分析。结果表明,500 hPa槽前负变高大值区诱使低层低值系统发展,850 hPa低涡沿切变线快速东移,配合西南急流的发展北伸,为暴雨区水汽辐合抬升提供了有利条件。伴随着冷锋南下,近地面层冷平流的侵入使得暖湿空气抬升,对流不稳定性增加,上升运动加强,是造成此次强降水的触发机制。景德镇上空不断有对流单体经过、东移,是造成景德镇地区出现暴雨的直接原因,强降水大多出现在TBB低值附近或其梯度区。此次暴雨过程水汽主要来自超低空急流输送,925 hPa水汽通量散度与暴雨落区、强度对应关系较好。     

江西一次暴雨过程的诊断分析

利用NCEP 1°×1°再分析资料、地面与探空资料、卫星资料等,对2012年5月12日发生在江西省中部的一次暴雨过程进行诊断分析。结果表明：本次暴雨过程发生在冷锋南侧地面倒槽区,由高层西风槽、低层低空急流及切变线、低涡共同影响所致。中低层西南气流的加强,一方面使暴雨区有充足的水汽输送,同时也使该区对流不稳定度加大,加强了暴雨区上空的对流上升运动。中尺度辐合线是强对流暴雨的触发机制,而冷锋影响使地面东风气流加强,冷空气入侵致中尺度辐合线演变为中尺度低压,中尺度低压是江西短时强降水长时间持续的机制;500hPa高空槽东移,槽前正涡度平流向江西上空输送,利于低层低涡生成和维持、上升运动加强,从而导致降水增强。冷空气影响初始阶段,〉10mm·h-1 的中尺度雨团产生在中尺度辐合线及其所演变成低压的1、2象限即中尺度辐合线或中尺度低压偏北一侧,随着冷空气的进一步入侵,中尺度雨团产生于中尺度低压的偏南一侧。     

北京“7.21”特大暴雨过程中尺度系统的模拟及演变特征分析

在2012年7月21日北京特大暴雨过程天气尺度环流背景分析的基础上,主要用WRF模式对该次暴雨过程进行了高分辨率的模拟。利用模拟资料分析了影响此次北京特大暴雨的辐合线及辐合线上生成的中尺度低涡的热动力结构及其演变。从热力场来看,来自于西北和东北方向的强冷空气与西南和东南暖湿气流的长时间对峙形成的辐合以及中低层冷空气从西北和东北方向向西南的入侵迫使整层暖湿空气抬升,以及低空急流的暖湿平流与低空弱冷空气之间形成的"西冷东暖"的结构,对对流不稳定的触发有一定作用,有助于该次特大暴雨的发生。对流层低层的西(东)南风与西北风之间形成了一条持续时间长的辐合切变线,切变线上不断有中尺度低涡生成并沿切变线发展移动,模拟资料分析表明,低涡不断沿切变线生成并移动经过北京从而对该次暴雨造成影响,这与"列车效应"现象类似。切变线上生成的中尺度低涡位置也同时处于急流左前侧和山前,低涡加强和发展时对应有暴雨的明显增强,是直接造成北京特大暴雨的中尺度系统,其生成与低层辐合、低空急流及地形均有关系。低层辐合引发的垂直运动在地形迎风坡附近得到加强,低层辐合及地形抬升共同导致了强垂直运动的发展和维持,是暴雨持续的重要原因。大气中层有下沉气流与低层上升气流相互作用,在大气中低层形成一系列中尺度环流,房山附近一直有中尺度环流的垂直上升支维持,也是暴雨中心出现在房山的原因之一。     

贵州西南部一次暖区暴雨不稳定性分析

该文综合利用常规观测资料,日本再分析JRA-25的6h资料（分辨率为1．25°×1．25°）、国家气象中心卫星红外辐射亮度温度（TBB）资料等,对2012年5月21日贵州西南部的暴雨过程的动力、水汽、中尺度及不稳定特征进行了分析,得到一些结论：此次过程影响系统主要是中低层的低涡切变和冷锋,但降水发生在冷锋前的暖区,为一次暖区暴雨,对云图TBB的分析表明降水由MCC产生。地面中尺度辐合区产生的辐合、垂直涡度激发次级环流产生,高低空急流的耦合等作用是暴雨产生的动力条件;对湿位涡的分析表明降水中存在对称不稳定能量,主要以对流不稳定能量为主,在中低层存在深厚的对流不稳定能量区,在降水区附近有MPV密集陡立区,700hPaMPV负值中心的移向和数值与降雨落区和趋势对应较好,降水发生在低层MPV1〈0,MPV2负值区前沿0线附近MPV2≥O的区域。     

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。     

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     

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。     

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.     

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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