重庆2017年秋季降水异常成因分析

2017年秋季,重庆降水出现前期异常偏多而后期异常偏少的特征。为分析造成降水季节内极端异常原因,使用1961年以来重庆34个气象台站秋季（9月上旬至11月下旬）逐日降水数据、NCEP/NECA和NOAA逐日高度场、风场、水汽场、海温场等再分析资料,采用相关、合成等统计诊断方法,分析了2017年重庆地区秋季降水出现季节内异常变化的主要原因。环流的诊断分析表明：2017年重庆地区秋季降水出现明显旱涝转折、降水前多后少,其成因是由于副热带高压长时间维持在重庆长江沿线及长江中下游一线,中高纬度维持双阻型,即乌拉尔山高压脊发展,同时鄂霍茨克海阻塞高压的建立和维持,使其西部低槽东移缓慢,导致了重庆地区9月至10月上中旬强降水频发、降水异常偏多。10月下旬西太平洋副热带高压异常减弱南退,尤其在11月其闭合单体完全退出大陆,低纬度地区的高压坝切断了水汽的向北输送;中高纬度呈现西正东负的距平分布型,贝加尔湖以东至鄂霍茨克海以西的大范围地区为负高度距平分布,负距平南界位于我国河套北部地区,冷空气路径偏东偏北,不利于降水继续偏多,发生由异常多向异常少的转折。此外海温强迫场的分析表明：初秋中高纬度出现的双阻型环流异常可能与前期和同期西北太平洋海温的偏暖有关;而前期热带印度洋海温的全区一致增暖模态和后期赤道东太平洋海温的异常可能是导致副热带地区大气环流（西太平洋副热带高压）异常的主要原因和外强迫因子。     

1994年影响山东的热带气旋分析

１９９４年为影响我国的热带气旋明显偏多年。利用常规天气图和海温资料，对本年度登陆北上热带气旋偏多的环流背景和海温场特征进行了分析，指出，西太平洋副热带高压稳定偏北和海面温度明显偏高，是北上热带气旋偏多的主要原因。同时，还对热带气旋移动路径、所在位置与山东降水的时空分布及降水强度之间的关系进行了简单的统计分析，其结果可供热带气旋的业务预报参考。     

不同空间型的El Ni?o对江淮流域夏季降水的影响

利用江淮流域1979—2010年夏季降水资料和海温资料等,研究了不同空间型的El Ni?o对江淮流域夏季降水的影响。结果表明,El Ni?o年江淮流域夏季降水异常为东部偏多西部偏少,El Ni?o Modok年为全区偏少,这与用江淮流域夏季降水和同期热带太平洋海温进行SVD分析的模态几乎一致。对东亚夏季风和环流场的分析结果表明其原因可能为:El Ni?o年东亚夏季风稍偏弱,长江中下游有异常上升运动,我国东北至西北太平洋海盆及江淮流域为负位势高度距平,华南至菲律宾海为正位势高度距平,江淮流域从低层到高层均为气旋性环流异常控制;而El Ni?o Modoki年为强东亚夏季风,且江淮流域有强烈的异常下沉运动,菲律宾、我国南海以及孟加拉湾北部均为显著的负位势高度距平,正距平中心位于日本及我国东海地区,菲律宾海地区及我国江淮流域低层的异常气旋式环流中心比El Ni?o年偏西且强度偏强,高层的异常反气旋环流中心也比El Ni?o年偏西、偏北,同时西太平洋副热带高压位置也较偏北。      

1951—2017年热带气旋对湖南降水的影响及环流异常特征分析

揭示热带气旋在湖南的降水规律可为热带气旋影响湖南的降水预报提供技术支撑。采用近67 a的热带气旋影响资料,通过统计方法,分析了影响湖南降水的热带气旋特点及环流异常特征。结果表明:7—9月是影响的高峰季节,以在广东、福建沿海登陆的热带气旋对湖南影响次数最多、程度最重,浙江、福建沿海登陆的热带气旋在湖南形成的降水范围最大,热带气旋对湖南影响所产生的降水主要集中在湖南省东南部,热带气旋对湖南产生的强降水范围有增大的趋势,降水强度有增强的趋势。福建和广东沿海登陆对湖南影响的热带气旋的环流特征为南亚高压偏强、偏东、偏北,导致西太平洋副热带高压偏强、偏西、偏北,引导副热带高压南侧的东南气流与南海和菲律宾以东洋面的西南风气流汇合,形成季风槽,中国华南和华东沿海为东南气流,有利于热带气旋在该区域登陆影响中国。只是前者表现为南亚高压位置较后者偏北更明显,西太平洋副热带高压更偏北,季风槽更偏东,导致福建登陆对湖南影响的热带气旋在湖南大部为气旋性环流控制,湖南全省降水偏多;而广东登陆对湖南影响的热带气旋在湖南省东南部为气旋性环流控制,该区域降水偏多。     

江淮气旋的气候特征分析

利用中央气象台的历史天气图资料对近49 a江淮气旋的发生路径、源地、年发生频数、强度进行统计分析.结果表明:江淮气旋发生频数的年际变化呈下降趋势,生成的强度呈上升趋势;通过小波分析发现江淮气旋的频数有明显的年际、年代际变化周期;以及有显著的月、季变化特征,春季及其每年的4月是江淮气旋出现最为活跃的季节和月份;受地形、下垫面等因素的影响,江淮气旋出现的源地主要集中在大别山及其东北侧、淮河上游及苏皖浙交界处、鄱阳湖这3个区域;江淮气旋的平均路径主要有3条:西北东移、偏南东移和偏北东移,且江淮气旋的移动路径有明显的季节性变化.     

2013年7月辽宁省降水异常物理机制研究

利用MICAPS常规资料和NCEP再分析资料,对2013年7月辽宁省降水异常物理机制进行了研究。结果表明:2013年7月辽宁省降水偏多发生在异常环流背景下,乌拉尔山高压脊和贝加尔湖低压槽强度大于常年,冷空气偏强且路径偏南;东亚40°—50°N处在纬向强锋区中,有利于气旋生成发展;副热带高压脊线比常年偏北2个纬度,西北侧暖湿气流活跃。7月中高纬地区有3次明显冷空气向南侵入至40°N,与中低纬北上至40°N及以北的暖湿气流交绥形成暴雨,影响系统分别为华北气旋、蒙古气旋冷锋和副热带高压西侧辐合线,不同影响系统暴雨过程的物理机制存在差异。3次暴雨过程中,华北气旋暴雨水汽供应最充沛,水汽源地不仅有西太平洋、南海、东海和黄海,还有孟加拉湾;暴雨区水汽主要由副热带高压外围西南或偏南气流向北输送,东海北部和黄海是水汽汇合及输送量最大的区域。高空急流受贝加尔湖低槽强度影响,不同影响系统高空急流演变和强度不同,低空急流分布与强度及高空辐散区、低空辐合区相对高、低空急流轴分布的位置也不同;高、低空急流耦合发展及高空辐散区、低空辐合区叠置产生的强垂直上升运动造成了水汽强烈辐合,其中华北气旋暴雨水汽辐合最强,水汽辐合层顶达850hPa,蒙古气旋冷锋和副热带高压西侧辐合线暴雨水汽辐合顶在900hPa附近及以下。热力分析表明,3次暴雨过程环境大气中层均有干冷空气侵入,增加了降水对流的不稳定性。     

南海季风爆发的年代际转折与东亚副热带夏季降水的关系

利用1979—2016年NCEP再分析资料, 分析了南海季风爆发的年代际转折与东亚副热带夏季降水的关系。结果表明:南海夏季风爆发时间在1993/1994年出现年代际转变, 1979—1993年爆发时间相对偏晚, 夏季华南降水偏少, 长江中下游至日本南部降水偏多; 1994—2016年爆发时间偏早, 夏季华南降水偏多, 长江中下游到日本南部降水偏少。南海季风爆发时间年代际转折与夏季东亚副热带降水关系可能受到菲律宾越赤道气流强度的调控, 季风爆发时间与菲律宾越赤道气流有显著正相关, 且均在1993/1994年间存在年代际转变。在1994—2016(1979—1993)年南海夏季风爆发偏早(晚), 菲律宾越赤道气流偏弱(强), 澳大利亚北部有偏北(南)风异常, 将暖池的热量往赤道输送, 使得赤道对流增强(减弱), 产生异常上升(下沉)运动汇入Hadley环流上升支, 增强(减弱)的Hadley环流导致下沉主体偏北(南), 促使副高脊线偏北(南), 从西北太平洋(孟加拉湾)往华南地区(江淮到日本南部)输送水汽增强, 所以华南(江淮到日本南部)夏季降水偏多。      

陕西省2021年极端秋雨成因分析

利用NCEP/NCAR2.5°×2.5°的逐月再分析资料和NOAA提供的逐月海温资料等从海温异常、大尺度环流异常、水汽输送异常等角度分析了2021年秋季陕西降水异常偏多的原因,结果表明：（1）小波交叉谱分析显示Ni?o3.4区海温距平与陕西秋季降水存在2～4年的共振周期,前期冬季海温与次年秋季降水关系呈正相关的周期共振。（2）受双峰型La Ni?a事件影响,2021年9-11月副热带高压（下文简称“副高”）控制的范围明显偏大,副高脊线位置较气候态偏北1度,西伸脊点较气候态偏西23度,造成主雨带偏西偏北。（3）中低层西北太平洋到我国华北北部的异常反气旋,与孟加拉湾北侧异常的气旋中心,造成气流在我国西北地区东部异常辐合。（4）从水汽收支来看,陕西2021年秋季水汽净流入较气候态偏多66.7%,尤其是东边界的异常水汽输送,还增强了低层冷垫,利于暖湿气流在冷垫上爬升导致陕西降水较常年异常偏多。     

2017年秋季我国北方地区降水异常偏多成因分析

根据国家气象信息中心提供的中国台站气温、降水资料,NCEP/NCAR逐日大气环流再分析资料和NOAA提供的月平均海温资料,分析了2017年秋季我国北方地区降水异常偏多的成因。结果表明2017年秋季我国降水阶段性特征明显,9—10月北方地区降水异常偏多主要受东亚环流型组合异常的影响。东亚500 hPa高度距平场从高纬至低纬呈“+-+”的异常分布,极区高度场偏高,极涡分裂偏向东北亚地区,贝加尔湖 巴尔喀什湖地区为显著低槽区,西太平洋副热带高压较常年偏强偏西偏北,有利于华西秋雨偏强。此外,850 hPa距平风场上朝鲜半岛的反气旋式环流异常有利于引导偏东路径的冷湿气流输送至黄河与长江之间的地区,与来自孟加拉湾和南海的暖湿气流交汇,形成水汽通量异常辐合区,造成黄淮及江淮等地降水异常偏多。进一步诊断表明热带中东太平洋海温秋季转为偏冷状态,热带太平洋地区Walker环流明显增强,有利于西太平洋副热带高压偏强西伸偏北;9—10月热带印度洋偶极子维持正位相有利于在孟加拉湾形成反气旋式环流异常,并同样有利于副热带高压西伸偏北。因此,海温外强迫信号的影响加上中高纬环流异常的共同作用造成9—10月东亚环流型异常特征,并进一步导致我国北方地区降水异常偏多。     

2018年7月北半球极端天气气候事件及环流特征分析

2018年7月北半球天气气候显著异常,极端事件高发。欧洲、北非、东亚以及北美的大部分地区均遭受严重的高温热浪侵袭;印度、东南亚、中国西南部以及日本西部等地出现极端降水;西太平洋台风活动异常活跃,移动路径偏北。初步诊断表明,北半球中高纬度,由低层到高层稳定维持的异常高压系统是导致北半球中高纬度大部分地区高温热浪持续发生的直接原因。其中异常偏强、偏北的副热带高压,以及增强、东伸的南亚高压与东亚地区持续高温和极端降水事件直接相关;低层菲律宾周围异常活跃的对流活动和强盛的西南水汽输送共同导致南亚、东南亚地区极端降水发生。热带太平洋大部分地区偏暖的海温条件和菲律宾附近异常气旋性环流则与异常活跃的台风活动有关。更需要关注的是,北半球尤其是东亚地区大气环流的异常主要受海洋表面热力状况以及其他区域大气环流遥相关的影响。     

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.     

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.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.     

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.     

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