一次台风引发的远距离暴雨诊断分析

台风对远距离暴雨的作用形式复杂,容易出现极端降水,量级和落区的预报难度大。2014年8月8日江苏东部到浙江北部出现暴雨,通过研究数值预报形势场、再分析场和各类实况资料,发现暴雨的产生与远在1300km外的西太平洋上的台风"夏浪"有关。江苏东部暴雨主要由中尺度涡旋造成,台风通过北侧偏东气流向暴雨区输送暖湿空气,有利于暴雨的形成与维持;浙江北部暴雨是中尺度涡旋与台风环流结合的产物,台风北上过程中,中心与中尺度涡旋逐渐靠近,台风外围环流对涡旋产生牵引,流场形势发生改变,引导弱冷空气在浙北近海附近与暖空气交汇辐合抬升引发暴雨,不稳定能量剧烈释放产生的中γ尺度气旋造成了极端强降水。     

中尺度对称不稳定在远距离台风暴雨中的诊断应用

用中尺度对称不稳定“S”判据对9711 号远距离台风暴雨过程进行了诊断分析,结果表明:台风远距离雨区存在明显的对称不稳定降水。低层(700hPa 以下)S< 0的区域作为对称不稳定区,与后期台风远距离降水有比较好的对应,可以作为远距离台风暴雨落区的一个指标。高层的对称不稳定与200～300hPa 的非纬向高空急流的斜压性增强有关。高低层的对称不稳定对远距离台风暴雨有不同的作用。     

高低空急流与台风环流耦合下的中尺度暴雨系统

对9216号台风登陆后进入200 hPa西南风急流入口区右侧, 引起远距离台风中尺度暴雨系统突然发生发展的过程进行了分析.利用二维模式研究了高、低空急流与台风环流耦合和中尺度暴雨增幅的相互促进正反馈机制, 认为Wave-CISK过程和斜压基流的对称不稳定可能是低空急流发展和倒槽形成的更切合实际的动力机制.对流不稳定与斜压大气的结合有利于北传的重力惯性波不稳定发展.     

登陆台风动能平衡和转换的诊断

对一次登陆台风及其外围暴雨和环境的动能平衡以及天气尺度动能与中尺度扰动动能的转换进行了诊断分析，指出摩擦消耗和动能的水平输出是台风的主要能汇。台风消亡期间，外围暴雨区动能增大，动能制造项Ｇｋ是暴雨区的主要能源。Ｇｋ的增大可能与天气尺度动能转换成中尺度扰动引起暴雨的发展相联系。     

山东省远距离热带气旋暴雨研究

应用1971-2003年的山东降水资料、常规天气图资料、台风年签和NCEP资料,对在华南沿海登陆和活动的热带气旋在山东造成远距离暴雨的气候特征进行统计分析,对环流形势场进行合成分析.建立了山东省远距离热带气旋暴雨的天气学模型.分别计算分析了山东有和无远距离热带气旋暴雨合成的水汽和温湿能的收支.结果表明:在华南沿海登陆和活动的热带气旋与西风带环流系统和副热带高压相互作用在山东造成的远距离热带气旋暴雨年均2.5次.暴雨的范围广、强度大.出现暴雨的时间比热带气旋登陆时间滞后.在山东造成远距离暴雨的热带气旋在华南沿海登陆时,中心东部有一股东南风或偏南风低空急流指向内陆.中高纬度中低层西风带环流弱,位置偏北.500 hPa西风带中的偏北气流与副高边缘的偏南气流在山东境内汇合.低层850-700 hPa伴有低值系统影响,山东为气旋性环流控制.热带气旋登陆后其中心附近的中低层偏南风急流向北伸展,绕过副高脊线直达山东.在台风中心附近至山东之间建立起水汽和温湿能的输送通道,把高温高湿的暖湿空气源源不断地向山东输送.在台风登陆后12-48小时内,山东暴雨区上空有大量的水汽和温湿能的净流入.暖湿气流与西风带气流相汇合,产生辐合上升,造成暴雨.     

陕西中部一次远距离台风暴雨过程成因分析

2010年第03号台风“灿都”诱发渭河流域7月23日出现了远距离台风暴雨,利用常规高空、地面观测资料、NCEP/NCAR逐6h1°×1°再分析资料以及FY2E卫星云图资料对该次暴雨的成因进行了分析,结果表明登陆台风对暴雨的作用主要表现在以下几个方面:①为暴雨提供了水汽和能量,②为暴雨区低层提供了较强的正涡度平流,③为中尺度暴雨系统的形成提供了有利的环流背景,直接或间接地影响了中尺度云团的生消.地面中尺度系统是中尺度云团的直接影响系统,而低空急流是中尺度云团的动力源;强降雨时段与云顶亮温TBB小于等于233K区域有较好的对应关系.     

中尺度对称不稳定在远距离台风暴雨中的诊断应用

用中尺度对称不稳定“Ｓ”判据对９７１１号远距离台风暴雨过程进行了诊断分析,结果表明;台风远距离雨区存在明显的对称不稳定降水。低层Ｓ〈０的区域作对称不稳定区,与后期台风远距离不有比较好的对应,可以作为远距离台风暴雨落区的一个指标。     

湖北省春、夏季暴雨中尺度对流回波系统初探

根据1987-1989年武汉和宜昌数字化雷达回波资料,将湖北省春、夏季暴雨初步分为中-α尺度暴雨云团、冷锋暴雨、暖区对流降水带、登陆台风暴雨、复合(或超级)单体等五类。描述了各类暴雨的中尺度结构及其变化的一些特点。     

邯郸地区一次登陆台风大暴雨过程观测分析

受登陆台风"海棠"减弱后低压与东移锋面云系的共同影响,2005年7月21日夜间到23日早晨邯郸地区出现了大范围的暴雨天气。本文从天气形势、水汽输送特征、云系演变特征和大气不稳定条件等方面进行分析,探讨了这次登陆台风暴雨天气的成因。结果表明,台风低压、稳定少变的副热带高压以及500 hPa低槽相互作用,共同造成了这次暴雨天气过程,高纬弱冷空气南下,与台风携带的暖湿空气相遇,加之太行山地形的影响,造成暖湿空气抬升,使得冀南地区产生中尺度对流云团,进而发生强降水。地面自动站以及加密站风场资料分析指出,低空偏北风与偏东风之间的中尺度辐合线对暴雨发生有重要作用,其出现的时间和位置决定了中尺度暴雨天气的发生时间和位置。在水汽输送方面,西部山区的暴雨区水汽主要来源于南海和东海,而东部平原地区的大暴雨,其水汽主要来源于南海。简单的层结分析表明,暴雨区上空存在对流不稳定和对称不稳定共存的现象,两者共同为系统发展和暴雨发生提供了不稳定条件。     

台风中尺度对流云团与中尺度暴雨相互关系的综合分析

选取1996-1998年5个登陆福建的台风，分析其中尺度暴雨时空分布规律；并通过对数学化处理的逐时红外卫星云图的研究，揭示台风中尺度对流系统发生发展的云图特征。分析表明台风中尺度暴雨的强度与中尺度对流云团的最冷云区温度和面积密切相关，常出现在中尺度对流云团偏东侧具有云顶温度梯度密集、云顶温度等值线曲率较大、云团处在发展阶段这些云图特征的区域。     

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.     

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.     

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.     

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.     

Retrieval of outgoing longwave radiation from COMS narrowband infrared imagery

Hourly outgoing longwave radiation(OLR) from the geostationary satellite Communication Oceanography Meteorological Satellite(COMS) has been retrieved since June 2010. The COMS OLR retrieval algorithms are based on regression analyses of radiative transfer simulations for spectral functions of COMS infrared channels. This study documents the accuracies of OLRs for future climate applications by making an intercomparison of four OLRs from one single-channel algorithm(OLR12.0using the 12.0 μm channel) and three multiple-channel algorithms(OLR10.8+12.0using the 10.8 and 12.0 μm channels; OLR6.7+10.8using the 6.7 and 10.8 μm channels; and OLR All using the 6.7, 10.8, and 12.0 μm channels). The COMS OLRs from these algorithms were validated with direct measurements of OLR from a broadband radiometer of the Clouds and Earth's Radiant Energy System(CERES) over the full COMS field of view [roughly(50°S–50°N, 70°–170°E)] during April 2011.Validation results show that the root-mean-square errors of COMS OLRs are 5–7 W m-2, which indicates good agreement with CERES OLR over the vast domain. OLR6.7+10.8and OLR All have much smaller errors(～ 6 W m-2) than OLR12.0and OLR10.8+12.0(～ 8 W m-2). Moreover, the small errors of OLR6.7+10.8and OLR All are systematic and can be readily reduced through additional mean bias correction and/or radiance calibration. These results indicate a noteworthy role of the6.7 μm water vapor absorption channel in improving the accuracy of the OLRs. The dependence of the accuracy of COMS OLRs on various surface, atmospheric, and observational conditions is also discussed.