赤道低平流层纬向风垂直切变与对流层环流及东亚季风的关系

在以赤道低平流层纬向风垂直切变为依据划分平流层QBO位相的基础上，讨论了赤道低平流层纬向风QBO与对流层环流及东亚季风的关系。结果表明：强冬季风和弱夏季风对应着赤道低平流层纬向风的东风切变位相，强夏季风和弱冬季风对应着赤道低平流层西风切变位相，赤道低平流层纬向风QBO对对流层环流有一定影响，冬春季节平流层与对流层的相互作用比夏秋季节明显。     

赤道低平流层纬向风垂直切变与对流层环流及东亚季风的关系

在以赤道低平流层纬向风垂直切变为依据划分平流层QBO位相的基础上,讨论了赤道低平流层纬向风QBO与对流层环流及东亚季风的关系.结果表明强冬季风和弱夏季风对应着赤道低平流层纬向风的东风切变位相,强夏季风和弱冬季风对应着赤道低平流层西风切变位相,赤道低平流层纬向风QBO对对流层环流有一定影响,冬春季节平流层与对流层的相互作用比夏秋季节明显.     

东亚季风指数及其与大尺度热力环流年际变化关系

将东西向海平面气压差与低纬度高、低层纬向风切变相结合 ,定义了东亚季风指数 ,该季风指数较好地反映了东亚冬、夏季风变化。其中 ,夏季风指数年际异常对西太平洋副热带高压南北位置变化和长江中下游旱涝具有较强的反映能力。分析表明 :东亚夏季风年际变化与印度洋 -西太平洋上空反 Walker环流及夏季越赤道南北半球间的季风环流呈显著正相关关系。在强、弱异常东亚夏季风年份 ,异常的 Walker环流在西太平洋上的辐合 (辐散 )中心在垂直方向不重合 ,高层 ( 2 0 0 h Pa)速度势与东亚夏季风显著相关区域位于西北太平洋上 ,该异常环流的高层的辐合 (辐散 )通过改变低层空气质量而影响夏季 50 0 h Pa西北太平洋副热带高压。采用 SVD分析进一步发现 :与海温耦合的异常 Walker环流在西太平洋上空的上升支表现出南北半球关于赤道非对称结构 ,亚澳季风区受该异常 Walker环流控制。因而 ,东亚季风与热带海气相互作用可直接通过这种纬向非对称的 Walker环流发生联系。     

季风指数及其年际变化I·环流强度指数

季风环流可以分解为经向环流和纬向环流。使用NCEP和ECMWF再分析资料,计算亚洲季风区的经向动量环流和纬向动量环流强度的季节内和年际变化,结果表明:对于南亚夏季风和东南亚-西太平洋夏季风,其各自的经向环流和纬向环流的季节内变化和年际变化存在着相当的联系,尤其东南亚-西太平洋夏季风。但南亚夏季风的经向环流和纬向环流的年际变化在不同月份有着不同的关系。对于东亚夏季风,经向环流和纬向环流变化之间的相关在季节内尺度上是线性独立的,而在年际尺度上存在一定的联系。作者指出:这种大尺度上的联系是通过科里奥利力发生作用,并且受热源调节的。同时局地的对流和辐射相互作用则在某种程度上削弱这种联系,导致在不同月份相关程度有所不同。从各季风系统的经向环流之间或纬向环流之间的线性相关看,南亚夏季风,东亚夏季风和东南亚-西太平洋夏季风是相互独立的系统。计算表明,Webster-Yang和Wang-Fan分别提出的南亚夏季风指数在描述纬向环流年际变化上较好,而在经向上勉强令人满意。Wang-Fan提出的描述东南亚-西太平洋夏季风指数,则较好地表示了该区域的经向和纬向环流的年际变化。Goswami提出的季风Hadley环流指数,以及郭其蕴、施能等提出的东亚夏季风指数则较好地描述了相应区域的经向环流圈年际变化,却无法描述相应的纬向环流圈的年际变化。通过计算还表明,NCEP再分析资料和ECMWF再分析资料在1968年以前的南亚季风区和东亚季风区存在着较大的差异。用NCEP再分析资料计算东亚季风区和南亚季风区经向动量环流圈的变率在20世纪60年代较ECMWF的偏大。用NCEP再分析资料计算施能等定义的东亚季风区指数,也较使用ECMWF再分析资料、UCAR的DS010.1及CRU的北半球海平面气压资料计算的偏大。     

太阳活动变化对东亚冬季气候的非对称影响及可能机制

基于1959～2013年的观测和再分析资料以及10.7 cm(2800 MHz)太阳射电通量资料, 本文分析了太阳活动变化与东亚冬季气候的相关关系, 分析结果表明:太阳活动变化与东亚冬季大气环流有较好的相关性, 且在太阳活动的强、弱时期该相关关系存在很大差异, 在强太阳活动时期太阳活动变化与东亚冬季气候的联系更为显著, 而在弱太阳活动时期二者之间的直接联系微弱, 这表明太阳活动变化对东亚冬季气候的影响具有非对称性特征。在太阳活动较强的时期, 随着太阳活动的增强, 东亚中高纬对流层中层的大气环流倾向纬向型, 东亚大槽减弱, 850 hPa出现异常偏南风, 地面上西伯利亚高压以及冬季风减弱, 东亚大部分地区气温显著偏高;而在太阳活动较弱的时期, 太阳活动的年际差异与东亚冬季大气环流之间几乎不存在显著联系。分析太阳活动较强和较弱时期纬向平均纬向风的差异发现, 其间平流层行星波活动、热带西北太平洋海表温度的差异可能是造成这种非对称影响的重要原因。在强太阳活动时期, 平流层行星波在太阳活动的异常增强年有异常的从极地向赤道的水平传播, 高纬地区E-P通量(Eliassen-Palm flux)异常辐散, 导致中高纬西风及北极涛动(AO)增强, 同时热带西北太平洋海温异常偏冷, 海陆热力差异缩小, 大气环流经向度减弱, 东亚冬季风偏弱。     

季风指数及其年际变化Ⅰ.环流强度指数

季风环流可以分解为经向环流和纬向环流.使用NCEP和ECMWF再分析资料,计算亚洲季风区的经向动量环流和纬向动量环流强度的季节内和年际变化,结果表明:对于南亚夏季风和东南亚-西太平洋夏季风,其各自的经向环流和纬向环流的季节内变化和年际变化存在着相当的联系,尤其东南亚-西太平洋夏季风.但南亚夏季风的经向环流和纬向环流的年际变化在不同月份有着不同的关系.对于东亚夏季风,经向环流和纬向环流变化之间的相关在季节内尺度上是线性独立的,而在年际尺度上存在一定的联系.作者指出:这种大尺度上的联系是通过科里奥利力发生作用,并且受热源调节的.同时局地的对流和辐射相互作用则在某种程度上削弱这种联系,导致在不同月份相关程度有所不同.从各季风系统的经向环流之间或纬向环流之间的线性相关看,南亚夏季风,东亚夏季风和东南亚-西太平洋夏季风是相互独立的系统.计算表明,Webster-Yang和Wang-Fan分别提出的南亚夏季风指数在描述纬向环流年际变化上较好,而在经向上勉强令人满意.Wang-Fan提出的描述东南亚-西太平洋夏季风指数,则较好地表示了该区域的经向和纬向环流的年际变化.Goswami提出的季风Hadley环流指数,以及郭其蕴、施能等提出的东亚夏季风指数则较好地描述了相应区域的经向环流圈年际变化,却无法描述相应的纬向环流圈的年际变化.通过计算还表明,NCEP再分析资料和ECMWF再分析资料在1968年以前的南亚季风区和东亚季风区存在着较大的差异.用NCEP再分析资料计算东亚季风区和南亚季风区经向动量环流圈的变率在20世纪60年代较ECMWF的偏大.用NCEP再分析资料计算施能等定义的东亚季风区指数,也较使用ECMWF再分析资料、UCAR的DS010.1及CRU的北半球海平面气压资料计算的偏大.     

准四年周期的北半球夏季遥相关与东亚夏季风环流的相互关系

利用ＮＭＣ的２００ｈＰａ和８５０ｈＰａ风场资料研究了北半球夏季遥相关和东亚夏季风异常环流在准４年时间尺度上的相互关系。研究发现当北半球夏季出现积雪强迫型遥相关时,东亚－西太平洋地区既存在异常纬向环流,也存在异常经向环流;而当出现东亚太平洋型遥相关时,东亚－西太平洋地区以异常纬向环流为主。分析还发现源于北太平洋的异常涡旋在向南传播的过程中,先取西南路径,在到达菲律宾东部以后折向东南。     

环流季节变化及其异常的诊断分析

介绍了局地型相似系数(LPAC)的计算方法。利用NCEP/NCAR850hPa月平均风场41a再分析资料,得出多年平均月际局地型相似系数图,由此分析了环流的季节变化,并结合长江流域洪涝的1998年,分析了东亚环流季节转换的异常特征。结果表明,局地型相似系数图能很好地揭示环流的季节变化,并能反映季节转换的异常。     

1979年东亚夏季风环流建立过程的分析

本文用1979年5—7月低纬地区的格点风资料,对东亚季风地区的逐日平均经圈环流进行了分析,发现东亚夏季风环流的建立过程和印度季风有很大不同。东亚夏季风环流建立时间较早,它是由副热带季风环流和南海热带季风环流组成的。副热带季风环流与源于南亚副热带地区的偏南风,北支高空东风相联系;而南海热带季风环流与源于澳大利亚的跨赤道气流,南支高空东风相联系。印度夏季风环流建立时间较晚,它与索马里低空急流,北支高空东风急流相联系。在季风环流的结构上,两者也是不同的,东亚季风环流是一个准经向环流圈,而印度季风环流则是一个准纬      

长江中下游地区夏季旱涝年际、年代际变化的可能成因研究

利用NCAR/NCEP提供的40年再分析资料和英国气象局提供的月平均海温资料及中国气象局整编的160站的降水、西太平洋副高参数资料，分析了长江中下游地区夏季降水在20世纪70年代中期前后的显著变化及其可能原因。结果指出东亚夏季风与中东太平洋海温在1976年之前关系不明显，1976年之后东亚经圈环流与低纬纬圈环流耦合紧密，加强了东亚夏季风与中东太平洋海温的联系。而20世纪70年代中期以后中东太平洋前冬的海温异常通过海洋过程影响次年夏季我国近海地区海温变化，近海海温异常作为热源强迫可以使副高位置偏南强度加强，从而造成我国长江中下游地区夏季降水偏多。     

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.     

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.     

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.     

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。     

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 Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings

正ERRATUM to: Atmospheric and Oceanic Science Letters, 4(2011), 124-130 On page 126 of the printed edition (Issue 2, Volume 4), Fig. 2 was a wrong figure because the contact author made mistake giving the wrong one. The corrected edition has been updated on our website. The editorial office is sincerely sorry for any     

Index to Vol.31

正AN Junling;see LI Ying et al.;(5),1221—1232AN Junling;see QU Yu et al.;(4),787-800AN Junling;see WANG Feng et al.;(6),1331-1342Ania POLOMSKA-HARLICK;see Jieshun ZHU et al.;(4),743-754Baek-Min KIM;see Seong-Joong KIM et al.;(4),863-878BAI Tao;see LI Gang et al.;(1),66-84BAO Qing;see YANG Jing et al.;(5),1147—1156BEI Naifang;