“苏拉”台风引发福建西部大暴雨成因分析

利用常规天气资料、NCEP 1°×1°再分析资料、地面降水资料以及福建新一代天气雷达资料对2012年"苏拉"台风登陆后引发福建西部大暴雨天气成因进行分析,结果表明:"苏拉"登陆后高空涡旋受大陆高压东侧偏北气流引导向偏南方向移动,同时,台风登陆后进入大的环境风垂直切变区并向切变左侧倾斜,使得台风南倾结构进一步加大。台风结构南倾为福建西部大暴雨区提供了良好的动力条件,"苏拉"自身带来的水汽及台风南侧西南气流为暴雨区提供了充足的水汽来源,高空冷空气入侵与低层的高温高湿区形成上冷下暖结构呈现出条件不稳定层结,有利于深厚湿对流产生,结合充分的水汽供应,出现大暴雨天气。大范围暖平流配合风速辐合,中高层冷空气入侵与低层西南暖湿空气结合以及低层的西南急流建立是三个强降水阶段对应的中尺度天气特征。     

豫中南一次秋季区域性暴雨成因分析

利用常规观测资料、加密自动站资料、NCEP 1°×1°分析资料、FY-2E卫星及雷达资料等,采用诊断分析和对比分析方法,分析了2014年9月27—28日豫中南区域性暴雨的环流形势、强降水成因、中尺度特征及该过程与夏季暴雨的异同。结果表明:本次秋季暴雨过程是高空低槽、副高、中低层切变线、高低空急流、地面倒槽等系统共同作用的结果。持续的水汽辐合为暴雨提供了充沛的水汽条件,水汽通量大值区与水汽辐合中心分布及暴雨落区吻合;低层涡度的发展和水平风的切变导致垂直涡度发展,动力条件较好;K指数高值区对预报暴雨尤其强降水落区有较好指示意义,暴雨中心上空θse值随高度递减,高层低能舌叠加在低层高能区之上,强降水落区位于二者交汇的区域。低层偏东气流与高空槽前西南气流配合产生经向次级环流,上升运动增强;200 h Pa西风急流稳定维持,导致高层抽吸作用明显,有利于区域性暴雨发展。降水云团tbb一般在-32℃左右,发展高度明显低于夏季暴雨云团;降水前期回波为层云回波,后期转变为混合性回波,强降水主要由混合降水回波中的强对流云团导致的。中高层没有明显强冷空气,低层冷空气作用较大,东路冷空气一方面形成冷垫造成动力抬升,另一方面在低层与暖湿气流形成强水汽辐合,是本次秋季区域性暴雨的形成机制,也是不同于夏季暴雨的主要特征。     

陕西2次暴雨过程的能量和湿位涡分析

用T106资料分析了2000—)7—12和2000—10—10暴雨过程的能量和湿位涡，结果表明：副高西北侧西南风急流配合有低涡时，对流层低层对流不稳定，强降水发生在该不稳定区内，配合有较强冷空气入侵时，降水落区在θse锋区和靠近暖湿区一侧。低层MPV1的负值区代表了强辐合上升区及对流性不稳定区，强降水落区在其负值轴附近，当北方有较强冷空气东移南下时，降水落区位于MPV1正负交界处靠近暖区一侧。MPV2高正值区代表了低层斜压不稳定和强的水平风垂直切变，降水落区在高正值区附近，当有冷空气南侵时，落区位于正中心北部和负中心南部。     

秋季台风“纳沙”大范围暴雨的机制研究

利用T213、ECMWF数值预报资料和热带气旋历史资料,对1117号强台风“纳沙”造成广西持续大范围暴雨的成因进行分析,造成广西大范围暴雨的主要原因是:“纳沙”登陆后,副热带高压强大,台风环流与副热带高压之间气压梯度增大,其右侧辐合加强,深厚偏东气流给台风输送了大量的水汽和能量,西南风急流与副高西侧强东南气流形成辐合,北方冷空气从低层南下,东北风与台风后部的东南风形成切变产生对流降水;加上台风自身带来的降水、急流降水以及冷空气入侵降水三部分相接,组成了“纳沙”影响期间的持续性强降水过程.     

1617号鲇鱼台风登陆后引发不同性质暴雨的成因对比分析

2016年9月28日1617号台风"鲇鱼"登陆后由台风本体环流和外围环流引发了不同性质的暴雨,这是本次秋季登陆台风暴雨预报的难点。利用常规气象观测资料以及NCEP的1°×1°再分析资料等,对不同性质暴雨的成因进行了诊断对比分析。结果表明:浙江东南部对流性降水和江西南部稳定性降水的大气层结结构具有明显的差异。中高纬度低槽距离台风较远,冷空气主要从低层入侵台风西北侧,破坏台风低层的暖心结构。台风外围中层干冷空气随东南风向浙江东南部输送,并叠加在低层暖湿气流之上,形成上冷下暖的不稳定层结,同时在对流层上层有干冷空气下沉至台风环流中下层(干侵入),导致浙江文成附近出现了局地特大暴雨。江西南部由于低层被湿冷空气占据,层结较为稳定,降水发展平缓。低空东南急流为台风外围环流暴雨提供了充足的水汽,浙江东南部地形对降水起到了增幅作用。不稳定层结及中层冷空气的输送对对流性暴雨的激发作用可以为登陆台风降水性质和强度预报提供参考依据。     

台风“温比亚”引发豫东“18.8”极端降水的特征与成因分析

利用多源气象资料，对台风“温比亚”引发豫东降水的极端性特征及极端降水产生机制进行分析，提炼预报着眼点。此次降水是河南继驻马店“75·8”暴雨之后的又一次罕见特大暴雨，表现为过程雨量极大、破极值站数最多、降水强度极大、强降水时段集中的特征。结果表明：（1）高低空系统耦合为特大暴雨的发生发展创造了良好的环境条件，极端降水的产生主要受台风北侧螺旋云系影响，并有持续不断的强回波单体在同一个地点移动，冷空气与台风环流相互作用是重要的预报着眼点，重点分析台风和副热带高压的相对运动及西风带对台风的引导作用。（2）河南东部水汽输送条件一直处于较好的状态，这是降水维持较长时间的重要因素，急流中心区域和强度的变化对降水量多少有指示意义。（3）豫东地区对流不稳定和斜压不稳定均比较明显，低层MPV1<0、MPV2>0的区域与强降水落区有较好的对应关系。（4）强辐合中心位于台风中心的北侧，降水强度与辐合强度有较好的对应关系，螺旋度大值区分布对强降水的分布区域有较好的指示意义。     

榆林市2017年两次暴雨过程对比分析

利用常规气象观测资料、NCEP FNL1°×1°间隔6 h再分析资料,对2017年7—8月榆林市相继出现的两场区域性暴雨过程（7月26日暴雨过程,简称“7·26暴雨”;8月22日暴雨过程,简称“8·22暴雨”）的热力、动力机制进行对比分析。结果表明：两次暴雨与高低空急流关系密切,当高低空急流加强,出现强动力抬升时出现强降水,暴雨落区位于低空急流左前侧的强水汽辐合区。“7·26暴雨”低空急流和水汽辐合更强,大暴雨出现在高低空急流耦合的强上升区。两次降水过程热力机制有所不同,“7·26暴雨”过程中层有冷空气卷入,中低层存在强对流不稳定,低层切变线触发不稳定能量释放,产生强降水;“8·22暴雨”过程大气整层饱和,锋面作用显著,暖湿空气被冷空气抬升,低层存在对流不稳定,大尺度稳定降水系统伴随中小尺度对流发展,降水加强。对流层低层VMP1（湿正压项）负高值中心对暴雨落区有较好的预报指示意义。     

一次早台风暴雨的湿位涡分析

对0601号早台风暴雨进行湿位涡分析,结果表明:台风移向高空槽的过程中,冷空气在台风登陆前以高MPV1柱的形势下传使得台风低层环流对流稳定度减小、湿斜压性增大,导致垂直涡度显著发展,暴雨增幅。特大暴雨发生在台风低层出现MPV1锋区的时段,低层大范围正MPV1区的出现预示着强降水的结束,暴雨落区与低层正MPV2分布相一致。     

一次早台风暴雨的湿位涡分析

对0601号早台风暴雨进行湿位涡分析,结果表明：台风移向高空槽的过程中,冷空气在台风登陆前以高MPV1柱的形势下传使得台风低层环流对流稳定度减小、湿斜压性增大,导致垂直涡度显著发展,暴雨增幅。特大暴雨发生在台风低层出现MPV1锋区的时段,低层大范围正MPV1区的出现预示着强降水的结束,暴雨落区与低层正MPV2分布相一致。     

2009年7月17日唐山地区强降水成因分析

利用常规天气资料和NCEP/NCAR再分析资料,对2009年7月17日唐山地区暴雨天气过程进行分析。结果表明：强降水是暖湿空气向北输送与低层冷空气交汇引起的。降水前期,唐山地区中低层水汽强辐合为强降水提供了水汽条件。冷空气从底层侵入,抬升暖湿气流,低层暖锋锋生使对流不稳定性增大,上升运动加强,降水量增大。强降水区存在低层辐合、高层辐散和斜升运动机制。850 hPa湿位涡正压项MPV1〉0区域较好地反映出冷空气活动特征,强降水出现在MPV1零线附近偏冷空气一侧。     

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.     

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.