南印度洋偶极子的变化特征及其与ENSO事件的联系

利用Hadley Center逐月海温资料以及NCEP/NCAR逐月风场、海平面气压场等资料探讨了南印度洋偶极子(Southern Indian Ocean Dipole,SIOD)的变化特征及其与ENSO事件的联系。结果表明:1)发生在南半球副热带印度洋地区的海温异常西南—东北反相的南印度洋偶极子现象,具有明显的季节锁相特征:10—12月发生发展,次年1—3月发展成熟达到盛期,4—6月减弱消亡;SIOD的形成主要受大尺度大气环流的影响,马斯克林高压以及澳大利亚低(高)压位置和强度的变化引起的副热带印度洋海表面风场的异常,影响了海温的变化,进而形成SIOD。2)南半球副热带印度洋地区的海温变化与赤道中东太平洋地区海温异常密切联系,前冬ENSO事件与SIOD有显著的负相关关系,大多数正SIOD发生在La Ni?a事件之后,大多数负SIOD发生在El Ni?o事件之后;也存在部分SIOD事件的发生既不伴随La Ni?a现象,也不伴随El Ni?o现象。3)ENSO事件产生的异常垂直运动和赤道异常纬向风对南半球副热带印度洋地区的海平面气压以及海表面风场的强度和位置的变化有重要作用,可以分别影响SIOD东西极子的演变,进而对SIOD产生影响。4)SIOD事件也可单独发生,一般负事件比正事件早一个月发生,同时由于没有ENSO事件的作用,海温异常反相的现象不能持续,单独发生的SIOD事件生命期较短。     

冬,春季海温异常关键区对长江中下游夏季降水影响的敏感性试验

本文利用9层菱形截断15波的全球大气环流谱模式（L9R15）研究了前期冬季和春季海温异常的关键区对我国长江中下游地区夏季降水的影响,数值试验结果表明,冬季赤道东太平洋和黑潮区海温异常及春季印度洋和黑潮区海温异常使得长江中下游地区的夏季降水明显增多,同时500hPa副热带高压和100hPa南亚高压增强,但从范围和强度上来看,冬季赤道东太平洋和黑潮区海温异常时我国西南至长江中下游地区一带的夏季降水异常比春季印度洋和黑潮区海温异常时更明显,由此证实了观测资料的分析结果。     

热带风场季内振荡强度与海表温度异常关系研究

利用NCEP/NCAR逐日风场及英国气象局逐月海表温度资料,研究了对流层高低层风场季内振荡强度季节变化特征,探讨了其年际及年代际异常特征与海表温度异常的关系。热带印度洋、热带西太平洋是高低层风场季内振荡终年均活跃的区域。对流层高低层风场季内振荡强度异常与海表温度异常均不存在确定的局地关系。风场季内振荡能量异常与海表温度异常在年代际尺度上具有良好对应关系,20世纪70年代中后期以来,赤道东太平洋海温异常升高,Walker环流减弱,导致亚洲区域季风季内振荡强度减弱,赤道太平洋区域200hPa（850hPa）风场季内振荡在赤道东太平洋增强（减弱）,在印度洋东南部—印尼—中西太平洋的暖池区域减弱（增强）,促进了ElNino事件的增强。对流层高低层风场季内振荡强度年际异常与ElNino事件关系密切,这一特征在低层（850hPa）风场表现更显著。在事件发展初期,热带中西太平洋区域850hPa风场季内振荡异常增强并东移,事件发生之后这些区域能量减弱。大气季内振荡可能是ElNino事件的激发因素。     

湘中雨季结束日期的异常与前期大气环流和海温的关系

利用1961-2009年NCEP/NCAR再分析资料及ERSST-v3海温资料,研究了湘中雨季结束日期的变化特征及其与前期大气环流和海温的关系.结果表明,近49 a湘中雨季结束日期具有较显著的年际和年代际变化特征,呈2.6天/10a的较显著变晚趋势.湘中雨季结束偏早(晚)年在大气环流上的前兆信号表现为前期冬春季北半球副热带高压、鄂霍茨克海高压和阿留申低压强度弱(强),东亚大槽较浅(深),冷空气活动偏弱(强).前期冬春季中东赤道及以北太平洋和印度洋海温异常是湘中雨季结束的重要短期气候预测信号,前期冬春季赤道中东太平洋、印度洋区域海温偏低(高),北太平洋区域海温偏高(低),湘中雨季结束日期偏早(晚).     

热带太平洋-印度洋海温异常综合模对南亚高压的影响

从综合考虑热带太平洋和印度洋海温异常特征出发,研究了热带太平洋-印度洋海温异常综合模对南亚高压的影响.当热带太平洋-印度洋海温异常综合模为正位相(西印度洋和东太平洋海温距平为正,东印度洋-西太平洋海温距平为负),南亚高压偏弱,位置偏东偏南;当热带太平洋-印度洋海温异常综合模为负位相(西印度洋和东太平洋海温距平为负,东印度洋-西太平洋海温距平为正),南亚高压偏强,位置偏西偏北.热带太平洋-印度洋海温异常综合模影响南亚高压主要通过三种机制:一是通过影响亚洲季风从而影响了降水潜热形成的大气加热场分布,在正(负)位相年,青藏高原大气热源为负(正)异常,因此青藏高原上空空气上升减弱(加强),南亚高压偏弱(偏强);南海季风和热带辐合带加强(减弱),菲律宾附近的大气热源加强(减弱),有利于上空青藏高原东南侧反气旋(气旋)式的距平环流,因此南亚高压偏东偏南(偏西偏北).二是热带太平洋-印度洋海温的纬向热力对比引起赤道纬向垂直(Walker)环流异常,必将引起高空纬向风异常,在正(负)位相年,南亚高压南部的印度洋高空会出现西(东)风异常,导致南亚高压偏弱(偏强).三是综合模的正(负)异常加强(减小)西印度洋经度范围的区域Hadley环流,其北侧伊朗高原上的异常下沉(上升)支,造成南亚高压偏弱(偏强),位置偏东偏南(偏西偏北).     

NCEP/CFSR再分析耦合资料中MJO对ENSO的影响研究

基于1979—2008年NCEP/CFSR再分析耦合数据集,研究了冬季MJO对ENSO事件的影响。结果表明,在年际时间尺度以及长期的年代际时间尺度上,热带印度洋MJO活动的强弱性都可以影响热带中东太平洋ENSO事件的发生和发展。在年际时间尺度上,ENSO发生前期征兆的赤道中东太平洋的西风爆发事件(Westerly Wind Burst,WWB),作为MJO影响ENSO的主要途径,存在着显著的次季节时间尺度的变化。相对于气候平均的赤道太平洋西部暖池区上升而东部下沉的Walker环流,MJO正位相东传后的西风异常,减弱了低层东风和赤道东太平洋海水上翻。这一上升海流的减弱导致了中东赤道太平洋的海温升高,从而有利于ENSO暖海温事件的发生。而在年代际时间尺度上,MJO范围和强度在1998年前后出现了明显的转变,1998年之前MJO的东移范围更东,强度更强,从而导致了西太平洋西风爆发区的次季节西风异常事件更加显著,在Bjeknes正反馈机制下对应了年代际时间尺度下的强尼诺事件出现,1998年之后则与之相反。冬季MJO对ENSO影响的这一年代际特征主要体现在晚冬季节,而在早冬伴随着印度洋的增暖,MJO强度一直在逐年增加。     

夏季南亚高压年际变化及其与ENSO的关系

采用1948～2006年NCEP/NCAR月平均再分析资料, 探讨了夏季南亚高压年际变化及其与ENSO事件的关系, 结果表明: 在ENSO事件暖 (冷) 位相衰减期的夏季, 印度洋和亚洲大陆南侧海温为正 (负) 异常, 对应热带印度洋地区低层为上升 (下沉) 气流而其东侧西太平洋和西侧非洲西部为下沉 (上升) 气流的异常纬向环流, 低层850 hPa上从西太平洋到非洲赤道南北两侧依次各存在一异常反气旋－气旋－反气旋(气旋－反气旋－气旋)环流, 高层200 hPa异常流场的分布与850 hPa基本相反, 使得南亚高压强度发生显著变化, 强度增强 (减弱）、面积扩大 (缩小）、东西向扩展 (收缩）、 脊线北侧气压梯度增大 (减小）、南侧气压梯度减小 (增大)。     

热带东印度洋海表温度持续性的秋季障碍

利用全球海表海温资料(GISST)和NCEP/NCAR再分析风场、海平面气压场资料,研究了热带东印度洋海表温度持续性的季节差异,发现东印度洋海温持续性存在"秋季障碍"现象。进一步分析了东印度洋"秋季障碍"后冬季海温与中东太平洋海温、海平面气压及850hPa风场的关系,并讨论了热带印度洋—太平洋地区海气系统的季节变化与东印度洋"秋季障碍"的关系,结果表明,秋季热带印度洋—太平洋地区海气系统由以印度洋季风环流为主导转向以太平洋海气系统为主导,太平洋海气系统处于急剧加强期,增强的太平洋海气系统对东印度洋海温持续性"秋季障碍"起着重要的作用。     

南亚高压的年际和年代际变化

利用1958～1998年NCEP/NCAR再分析月平均100 hPa高度场和风场资料， 依据大气环流观测事实及天气学原理，较客观地定义了描述南亚高压活动的特征参数， 然后对南亚高压的年际及年代际变化特征进行了系统的诊断分析。发现北半球中低纬 100 hPa环流异常具有空间整体性和时间持续性，即北半球中低纬100 hPa环流同时加 强或同时减弱，并且其整体异常具有明显的年代际变化。南亚高压面积和强度的变化 存在3.8年的振荡周期，与ENSO的循环周期一致。南亚高压的中心和脊线在夏季较为稳 定，较大的年际差异出现在春季。高压面积和强度的年际变化最明显，并且面积大、 强度强的年份往往与El Niao年相对应。南亚高压的位置和强度还存 在明显的年代际变化，自1978年以后，冬半年南亚高压脊线南移，中心东移，面积增大， 强度增强，夏半年南亚高压的位置变化不很明显，但是面积和强度也增大增强。这种年代 际异常与低层大气系统及赤道太平洋海温的年代际异常一致。南亚高压强度距平与热带 海洋SSTA密切相关，与印度洋海区的同期相关最好。南亚高压强度异常对印度洋SSTA的 响应时间为0～5个月，对赤道中东太平洋SSTA的响应时间为4～6个月。南亚高压明显的 年际和年代际变化特征表明，可将南亚高压看作气候系统中大气子系统异常的强信号， 通过分析南亚高压的年际及年代际异常可以更直接地研究和预测区域气候异常。     

2015/2016年超强El Nio局地海气特征及其特殊性

利用NOAA海表温度和NCEP/NCAR大气环流等全球再分析资料,讨论了2015/2016年超强El Nio事件局地海气过程的演变特征,并与1982/1983和1997/1998年两次强El Nio事件做了对比分析。结果表明,2015/2016年El Nio在峰值强度、持续时间、累计海温距平等指标上都略强于前两次El Nio,可视为有完整气象观测纪录以来的最强事件;与前两次事件相比,2015/2016年El Nio海温异常中心位置明显偏西,热带东太平洋海温相对较冷而中太平洋更暖,由于热带对流对海温的非线性响应,赤道东太平洋降水相对较弱,中太平洋则显著偏多,这在El Nio当年12月至次年4月尤为明显;此外,在前两次El Nio的成熟期至衰减期,中太平洋大气响应都存在明显的南移特征,西风异常和对流中心都从赤道南移到了5°S以南。而2015/2016年中太平洋大气响应一直位于赤道附近,南移特征相对较弱,ENSO和年循环相互作用的组合模态相比前两次较弱,西北太平洋反气旋的强度也弱于前两次。这主要是由于2015年冬季至2016年春季,热带太平洋暖海温异常位置偏西,中太平洋海温异常明显强于前两次,叠加气候平均态海温之后,赤道南北两侧海温都高于对流阈值,对流旺盛,这大大削弱了大气响应的经向移动和ENSO组合模态的强度。     

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