近40年我国东部降水持续时间和雨带移动的年代际变化

利用我国地面观测站降水资料以及欧洲中期数值预报中心 (ECMWF) 的月平均再分析资料, 研究了在全球平均表面气温偏冷和偏暖阶段, 我国东部降水开始和结束时间以及雨带南北移动的变化, 并分析了与东部降水变化相关联的大气环流特征。结果表明:近40年, 20世纪60—70年代全球平均表面气温处于一个相对偏冷时期, 而80—90年代处于偏暖时期; 在这样的变暖背景下, 我国东部地区年总降水量呈现出“南涝北旱”异常特征, 与冷位相比较, 在暖位相阶段长江流域年总降水量明显增加, 而华北地区降水量减少, 其中长江流域降水的增加主要是由夏季降水增加引起的, 3月长江中下游降水增加也很重要, 北方的降水减少主要是由从盛夏到初秋的降水减少引起的。平均而言, 暖位相阶段我国南方强降水开始时间较早、结束较晚, 持续时间较长, 而北方强降水开始较晚, 持续时间较短。从春末到夏季, 冷位相时我国东部强降水带表现出从华南、经过长江流域向华北移动的特征, 而在暖位相时强降水主要集中在长江流域, 从华南向华北移动的特征不明显。雨带的这种异常变化与东亚大气环流有关, 在暖位相时夏季东亚大陆低压比冷位相时弱, 而鄂霍次克海高压偏强, 西太平洋副热带高压位置偏南, 使夏季东亚副热带地区的西南风减弱, 梅雨锋加强, 导致雨带滞留在长江流域, 使长江流域降水增加、北方降水减少。     

2014年海洋和大气环流异常及对中国气候的影响

本文基于实时、历史观测资料和再分析资料,综合分析2014年海洋和大气环流异常特征,并讨论这些异常特征对中国气候的主要影响。分析表明：2013/2014年冬季,极涡偏向西半球,东亚冬季风和西伯利亚高压均偏弱,导致我国冬季气温总体偏高。受冬季风强度季节内变化影响,前冬暖、后冬冷。2014年赤道中东太平洋形成一次厄尔尼诺事件,4月以来热带印度洋全区一致海温模态正位相维持发展,受暖海温外强迫影响,夏、秋季西太平洋副热带高压强度偏强、位置偏南,主汛期我国东部降水呈“北少南多”型异常分布。2014年南海夏季风爆发异常偏晚,强度偏弱。东亚夏季风强度偏弱,有利于我国东部主汛期雨带偏南,江南梅雨区和长江中下游梅雨区梅雨量偏多,北方大部夏季降水偏少。     

从中期天气过程看近几年长江中下游梅雨偏少的原因

长江中下游地区自2000年到2007年连续八年梅雨期降水偏少。本文从中期天气过程的角度分析了这八年不利于长江中下游梅雨的主要因子, 有东亚高空急流中准定常波动、 西太平洋暖池强对流活动和西北太平洋热带气旋活动。西太平洋副热带高压受这些因子的直接影响, 在中期时间尺度上副高环流形势发生变异, 从而造成长江中下游梅雨期的降水异常减少。在这八年的梅雨期中, 这些因子的特别异常, 更主要的由于它们的组合作用是导致近年来长江中下游梅雨偏少的直接原因。并且, 同样是长江中下游梅雨偏少, 不同因子的组合方式也影响着长江中下游梅雨偏少的降水异常分布背景。本文还初浅地讨论了在季节内预测长江中下游梅雨时对中期天气过程的参考。     

东亚副热带西风急流位置异常对长江中下游夏季降水的影响

利用NCEP/NCAR 200 hPa月平均风场再分析资料,定义东亚大陆对流层上层不同经度上最大西风所在位置的平均纬度为东亚副热带西风急流轴线指数,该指数能准确反映东亚副热带西风急流位置的南北变化及其对长江中下游降水的影响,并能较好地体现东亚夏季风盛行期间对流层低层与高层的纬向风场变化特征。分析表明,该指数的时间变化具有与长江中下游夏季降水较一致的年代际变化及年际振荡特征。对东亚副热带西风急流位置异常年的大气环流差异分析表明,急流异常偏北时,南亚高压偏弱,位置偏北偏西,呈伊朗高压型;西太平洋副热带高压(下称西太副高)偏弱、位置偏东偏北;气流的辐合上升区北移至华北一带,而长江流域低层风场为辐散异常,上升气流较常年偏弱,降水偏少。急流异常偏南时,南亚高压偏强,位置偏南偏东,呈青藏高压型;西太副高偏强、位置偏西偏南;长江流域地区上空低层有较强辐合上升气流,高层有较强的气流辐散,对流旺盛,雨带在此维持,容易引发洪涝。     

2016年和1998年汛期降水特征及物理机制对比分析

利用多种大气环流、海表温度、积雪面积等数据,并利用个例对比分析和统计方法,研究了2016年汛期（5-8月）中国旱、涝特征及与1998年的异同点,并对比分析了这两年导致降水异常的大气环流和外强迫因子。结果表明:（1）2016年汛期中国降水总体偏多,长江中下游和华北各有一支多雨带。与1998年相比,这两年南方多雨带均位于长江流域,梅雨雨量均较常年偏多1倍以上,但梅雨季节进程有显著差异,1998年发生典型的“二度梅”,而2016年梅雨结束后长江流域降水显著偏少,主要降水区移至北方。（2）2016年5-7月乌拉尔山高压脊明显偏弱,而1998年欧亚中高纬度呈“两脊一槽”型,这与北大西洋海温距平在这两年前冬至春季几乎完全相反的分布型密切相关。（3）这两年5-7月热带和副热带地区环流较为相似,副热带高压偏强、偏西,东亚夏季风偏弱,来自西北太平洋的水汽输送通量均在长江中下游形成异常辐合区,这主要是受到了前期相似的热带海温异常的影响,均为超强厄尔尼诺事件和热带印度洋全区一致偏暖模态。（4）这两年8月环流形势有显著差异,2016年8月副热带高压断裂,西段与大陆高压结合持续控制中国东部上空,夏季风迅速转强,长江流域高温少雨。而1998年8月夏季风进一步减弱,长江流域发生“二度梅”。2016年8月MJO异常活跃并长时间维持在西太平洋地区,激发频繁的热带气旋活动,对副热带地区大气环流的转折有重要作用。而1998年8月MJO主要活跃在印度洋地区,使得副高持续前期偏强的特征。除海洋和上述环流差异外,2016年前冬至春季青藏高原积雪的冷源热力效应远不及1998年强,这可能是导致2016年夏季风偏弱的程度不及1998年,而2016年汛期华北降水较1998年偏多的原因之一。      

太平洋年代际振荡与中国气候变率的联系

利用 195 1～ 1998年的太平洋年代际振荡 (PDO)指数、全球海洋和大气分析资料及中国降水和气温站点观测资料 ,分析了太平洋年代际振荡在海洋中的特征及其与东亚大气环流和中国气候变率的联系。结果表明 ,PDO与东亚大气环流及中国气候年代际变化关系密切。对应于PDO暖位相期 (即中纬度北太平洋异常冷、热带中东太平洋异常暖 ) ,冬季 ,阿留申低压增强 ,蒙古高压也增强 (但东西伯利亚高压减弱 ) ,中国东北、华北、江淮以及长江流域大部分地区降水偏少 ,东北、华北和西北地区气温异常显著偏高 ,而西南和华南地区气温偏低 ;夏季 ,海平面气压在北太平洋的负异常较弱 ,而在东亚大陆的正异常较强 ,东亚夏季风偏弱 ,西太平洋副热带高压偏南 ,热带太平洋信风减弱 ,赤道西风增强 ,此时华北地区降水异常偏少而长江中下游、华南南部、东北和西北地区降水异常偏多 ,东北、华北及华南地区气温异常偏高 ,而西北、西南和长江中下游地区气温异常偏低。对应于PDO冷位相期 ,上述形势相反。结果还表明 ,处于不同阶段的ENSO事件对中国夏季气候异常的影响明显受到PDO的调制。在PDO冷位相期 ,当ENSO事件处于发展阶段 ,华南地区夏季降水偏少 ,东北地区夏季多低温 ,在其衰减阶段 ,华北地区和长江流域降水偏多 ,淮河地区降水偏少 ;     

2019年夏季东亚大气环流异常及对我国气候的影响

为更好了解2019年夏季（6—8月）我国主要气候异常特征及成因,利用气象要素站点资料和NCEP/NCAR再分析大气环流资料分析了2019年夏季降水、气温的时空分布和东亚大气环流特征,并初步诊断了长江中下游降水偏少的可能原因。结果显示,2019年夏季全国气温偏暖明显,降水总量接近常年,但旱涝分布有明显的空间差异,东部主要多雨区位于江南至华南及东北地区,云南和黄淮等地气象干旱长时间持续。东部季风区降水还呈现出明显的季节内变化,尤其是江南等地在夏季前期降水过程密集,涝灾严重,但后期急速减少,高温事件迅速爆发。华南前汛期和江南梅雨开始早结束晚。2019年夏季,欧亚中高纬度地区两槽一脊的环流形势非常明显。其中黄海至日本海持续维持的低槽造成夏季西太平洋副热带高压强度偏强,位置略偏西偏南。这一低槽也是长江中下游少雨和江南多雨的直接原因。其在夏季前期位置明显偏南,和副热带高压脊线南北位置的演变非常一致。但在夏季后期,随着这一低槽的减弱北移,副热带高压迅速北跳,也造成雨带从江南快速移动到北方地区。     

长江中下游梅雨与春季南半球年际模态(SAM)的关系分析

利用1951～2000年中国160站梅汛期（6～7月）月平均降水资料和南半球月平均海平面气压资料，对全国梅汛期降水与其前期春季（4～5月）南半球年际模态进行了统计分析，结果表明：长江中下游梅雨与春季SAM指数存在显著的正相关，东亚梅汛期大尺度大气环流异常同样与春季SAM指数有着紧密的联系，强SAM春季对应着后期弱东亚夏季风，西太平洋副高加强西伸，以及长江中下游地区垂直上升速度的增加，这些为长江中下游梅雨的增加提供了有利的大气环流和水汽条件，而弱SAM春季情况则正好相反。春季南半球年际模态的异常为长江中下游梅雨的预测提供了有参考价值的前兆信号。     

2006年东亚夏季风活动特征与我国东部雨带分布

利用1979—2006年NCEP/NCAR大气月平均资料、OLR对流和CMAP降水日平均资料,从季节平均、月平均、季节内振荡不同时间尺度分析了2006年东亚夏季风活动特征及其与雨带分布之间的联系。结果表明,2006年东亚夏季风爆发时间正常,而夏季风推进过程存在异常：前沿在华南地区和华北地区维持时间偏长、在长江流域维持时间偏短,夏季风极端北界偏北,这种推进异常与南海夏季风强度偏强有关。南海夏季风强度偏强及推进过程异常导致东亚夏季(6—8月)降水为Ⅰ类雨带分布,即长江流域降水偏少,华南、黄淮流域-朝鲜半岛-日本中南部降水偏多。从月时间尺度看,2006夏季各月都具有南海地区夏季风强度偏强、前沿位置偏北和偏东的异常趋势;西太平洋副热带高压6月偏西偏南,7、8月偏北,在这种异常形势下,长江流域6、7、8各月降水都偏少,华南地区各月以偏多为主,黄淮流域7、8月降水偏多。从季节内振荡看,2006年大气季节内振荡(ISO)纬向传播与气候平均相比具有特殊性,长江流域纬度带西传波和静止波偏弱,华南地区纬度带东传波和静止波偏强,ISO这种异常与夏季长江流域降水偏少、华南降水偏多有关。     

亚洲夏季西风指数与中国夏季降水的关系

对1958—2000年亚洲纬向风和我国160站夏季降水进行SVD分析,发现两者具有良好的耦合关系。根据分析结果定义了一个可以表征我国夏季降水的亚洲夏季西风指数(IASW)。西风指数高(低)年,长江中下游夏季降水偏少(多),华南、河套和东北地区降水偏多(少)。同时分析了高、低西风指数年的环流特征,发现当长江中下游夏季降水偏多而华南、河套和东北地区降水偏少时,500 hPa呈负EAP型,鄂霍茨克海和乌拉尔山有阻高建立,西太平洋副热带高压偏南,105°E越赤道气流偏弱,东亚夏季风偏弱,高纬的偏北气流和低纬的偏南气流在我国长江中下游地区汇合,梅雨锋加强,使得雨带在此维持。前期鄂霍茨克海区域平均位势高度以及前期1—3月西太平洋的热带对流活动可以作为预测夏季西风强弱的前兆信号。     

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.     

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.     

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.     

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     

Information for Authors

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.     

Information for Authors

AIMS AND SCOPE Atmospheric and Oceanic Science Letters （AOSL） pub- lishes short research letters on all disciplines of the atmos- phere sciences and physical oceanography. Contributions from all over the world are welcome.     

INFORMATION FOR AUTHORS

正Aims Scope Advances in Atmospheric Sciences(AAS)is an international journal on the dynamics,physics,and chemistry of the atmosphere and ocean with papers across the full range of the atmospheric sciences,co-published bimonthly by Science Press and Springer.The journal includes Articles,Note and Correspondence,and Letters.Contributions from all over the world are welcome.     

Editorial

As we will soon celebrate the 90th anniversary of the founding of the Chinese Meteorological Society （CMS）,Acta Meteorologica Sinica （AMS）,which was originally named as Bulletin of the Chinese Meteorological Society,has gone through 89 years of development and excitement since her first issue in July 1925.According to archived documents （CMS Editorial Committee,1925）,AMS was founded to report the research findings of Chinese meteorologists,record their recommendations for improving meteorological services,and share their common meteorological interests in order to promote the growth of AMS such that more members could be inspired to conduct atmospheric research and meteorological knowledge would be better disseminated to and benefit the general public.By upholding and carrying forward this purpose,AMS has published many highly valuable scientific papers.Some could be treated as classical articles,which have produced important influences on both domestic and international meteorological communities and the related fields.