北太平洋海温年代际变化与大气环流和气候的异常

对应北太平洋海表温度(SST)年代际变化的两个基本模态,即25～35年模和7～10年模,分析研究了北半球大气环流和气候异常的形势.其结果极为清楚地表明,对应北太平洋SST的年代际模的正、负位相,大气环流和气候异常的形势都近乎相反,充分说明SST年代际模的重要作用;由于北太平洋SST的两个年代际模有十分相近的水平结构特征,它们对大气环流和气候的影响也有十分相似的特征;北太平洋海温年代际模对大气环流的影响在中高纬度地区呈正压结构特征,而在热带地区的响应主要有斜压结构特征.     

亚太季风各子系统的准两年变化特征及其比较

亚太季风各子系统（南亚季风、南海季风、西北太平洋季风和东亚副热带季风）都具有显著的准两年变化周期,利用4个季风指数研究它们准两年模态振幅的演变和相关的环流变化。结果表明,亚太季风各子系统的准两年模态有明显的年代际变化,并不是一直有效地影响季风区。与亚太季风各子系统准两年变化相关的海温异常,低层风场也有不同的分布特点和演变特征。     

近百年全球平均地面气温准周期信号及其长期演变特征的分析

应用奇异谱分析(SSA)方法,对全球及南北半球近100多年(1856～1997年)逐月地面气温距平序列的年际变化准周期性进行诊断分析,结果表明,全球平均气温序列中以准5～6年和准4年周期振荡最显著,其次是准两年周期振荡.各种准周期振荡年代际演变特征及其变率的阶段性,不但表现在振幅上,而且其波数亦很明显.上述特征在全球、南北半球都各有明显的差异.奇异交叉谱分析(SCSA)表明,全球平均地面气温的年际振荡与气候系统中其他各子系统所隐含的准周期信号具有各种耦合关系,尤其表现在与Nino区海温或南方涛动指数中的准周期信号的耦合关系上.     

中国东部夏季降水的准两年周期振荡及其成因

应用中国160测站降水资料和ERA-40再分析资料以及EOF和熵谱分析方法,分析了中国夏季(6～8月)降水和东亚水汽输送通量的年际变化,表明中国(特别是华南、长江流域和淮河流域以及华北等地区)夏季降水具有2～3 a周期变化特征,即准两年周期的振荡特征,并表明中国降水的这种周期振荡与东亚上空夏季风水汽输送通量的准两年周期振荡密切相关;并且,还利用NCEP/NCAR的海表温度和日本气象厅的沿137°E海温剖面观测资料,分析了热带西太平洋表层与次表层海温的年际变化,揭示了热带西太平洋热力状态的变化也有显著的准两年周期的变化特征.作者利用相关和集成分析来讨论热带西太平洋热状态的准两年周期振荡对中国夏季降水和东亚水汽输送的影响,表明了热带西太平洋海温的准两年周期振荡对东亚夏季风及其所驱动的水汽输送都有很大影响.此外,作者还利用东亚/太平洋型(EAP型)遥相关理论,简单地讨论了热带西太平洋热力状态的准两年周期振荡影响中国夏季风降水准两年周期变化的物理机制.     

青藏高原异常雪盖和ENSO的多尺度变化及其与中国夏季降水的关系

对青藏高原积雪和热带东太平洋Nin03区海温进行小波分析,讨论它们的年际和年代际变化。在年际变化中,积雪的主要周期是准两年振荡和准6～7年振荡,海温的主要周期是ENSO振荡和准两年振荡。积雪的年代际变化存在准10～12年和准22～24年振荡,海温存在准14～16年和准34～35年振荡。此外积雪和海温均在20世纪70年代后期发生了一次年代际气候跃变现象。积雪由少雪期向多雪期转化,海温从冷水期演变成暖水期。本文还建立了青藏高原积雪和Nifi03区海温与中国夏季降水各时间尺度的相关模型。不同时间尺度的积雪、海温和降水的相关场具有不同的地域特征。它们在有的地区相互加强,有的地区相互减弱。积雪和海温的年代际气候跃变与中国夏季降水的相关程度在某些地区高于年际变化。个例分析表明,利用青藏高原积雪和Nin03区海温多时间尺度变化可以较好地拟合出中国夏季降水的年际和年代际变化。所以在做中国夏季降水预报时,不同因子、不同尺度的作用府当分开考虑。     

我国东部夏季降水异常主模态的年代际变化及其与东亚水汽输送的关系

本文利用1958～2000年ERA-40再分析每日资料和我国516台站降水资料以及EOF方法,分析了我国东部季风区夏季降水异常主模态的年代际变化特征及其与东亚上空水汽输送通量时空变化的关系.分析结果表明了我国东部季风区夏季降水的时空变化存在两种主模态:第1主模态不仅显示出明显的准两年周期振荡的年际变化特征且也有明显的年...     

中国东部夏季主要降水型的年代际变化及趋势分析

针对中国东部夏季降水存在着20世纪50和60年代为“南旱北涝”、80和90年代为“南涝北旱”的相反形势,该文应用小波分析等方法对华北和长江中下游地区近54 a来的夏季降水进行分析,发现二者都具有不同周期的年代际变化。对于周期小于24 a的年代际变化,其morlet小波分析表明两地夏季降水的位相关系并不是固定的。对于更长的时间尺度,用正交小波分析了周期大于28 a的年代际变化,这种长周期的年代际变化能较好地体现出“南旱北涝”和“南涝北旱”两种形势,说明两地降水还存在着更长时间尺度的准周期变化。对于两地降水的这种长周期变化,分别选用不同位相的17 a为代表进行海温、环流形势的合成分析,对比发现两阶段所对应的海温、环流形势具有极明显的差异。最后,用近期的海温、环流形势与上述两种位相的海温、环流形势进行对比,讨论了未来降水型的可能演变趋势。     

赤道印度洋海温偶极子型振荡及其气候影响

对近百年观测资料的分析表明赤道印度洋海温(SST)确实存在着偶极子型振荡的变化特征,它在9～11月最强,而在1～4月最弱;年际变化(4～5年周期)和年代际变化(主要为20～25年周期)也十分清楚.这个偶极子主要有正位相型(海温西高东低)和负位相型(海温东高西低);一般正位相型的振幅强于负位相型.尽管在极个别年赤道印度洋海温偶极子似乎与太平洋ENSO无关,但总体而论,赤道印度洋海温偶极子与赤道太平洋海温偶极子(类似ENSO)有很好负相关.它们的联系主要是赤道大气纬向(Walker)环流.资料分析表明,赤道印度洋海温偶极子与亚洲南部流场、青藏高压和西太平洋副高都有明显关系,表明它对亚洲季风活动有重要影响.     

中低纬太平洋夏季次表层海温异常年代际变化的时空特征比较

对1955—1998年的夏季次表层(0~400 m)海温进行了EOF分解,对比分析了中低纬太平洋夏季次表层海温的年代际变化特征。结果表明:中纬太平洋夏季次表层海温有2种年代际分布模态:0~160 m表现为PDO型,200~400 m表现为全区一致型;低纬太平洋夏季次表层海温有3种年代际分布模态:0~60 m和300~400 m为全区一致型,80~240 m为东西反向型。太平洋夏季次表层海温异常的年代际变化在中低纬都存在从上而下的时间滞后;而同一层中低纬太平洋夏季次表层海温年代际突变的时间也不一致。     

印度洋-太平洋海温长期变化的周期性及其年代际变化

运用小波分析方法对近百年来印度洋－太平洋海温的周期变化特征进行了详细讨论,并且结合以前的工作,运用方差分析的方法对近半个世纪以来各周期振荡水平分布的年代际变化进行了综合分析。研究表明：近百年中,赤道东太平洋海温的长期变化不仅具有准两年（ＱＢＯ）和３－７年（ＬＦＯ）的年际振荡,而且具有１０－１２年、１８－２０年和３０－４０年的年代际振荡。各振荡分量的振幅和周期具有显著的年代际变化特征。近半个世纪各振     

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.     

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正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.SUBMISSIONAll submitted