青藏高原积雪对亚洲夏季风影响的诊断及数值研究

通过对青藏高原多、少雪年的合成分析及数值试验，研究了青藏高原积雪对亚洲 夏季风和我国东部气候异常的影响。结果表明:青藏高原积雪造成亚洲大气环流较大的年际变化。高原积雪改变了高原陆面春、夏季的热状况，使亚洲夏季风爆发推迟20天左右。高原积雪通过以下物理过程影响亚洲夏季风和我国东部气候:高原积雪多(少)→高原春、夏季的感热弱(强)→感热加热引起的上升运动弱(强)，高原强(弱)环境风场→不利(有利)于高原感热通量向上输送→高原上空对流层加热弱(强)→高原对流层温度低(高)→高原南侧温度对比弱(强)→造成亚洲夏季风弱(强)→我国长江流域易涝(旱)。     

青藏高原积雪与亚洲季风环流年代际变化的关系

利用高原测站的月平均雪深资料和NCEP／NCAR再分析资料，分析了20世纪70年代末以来，青藏高原积雪的显著增多与亚洲季风环流转变的联系。研究表明，高原南侧冬春季西风的增强及西风扰动的活跃是造成青藏高原冬春积雪显著增多的主要原因，高原积雪的增多与亚洲夏季风的减弱均是亚洲季风环流转变的结果；20世纪70年代末以来，夏季华东降水的增多、华南降水的减少及华北的干旱化与青藏高原冬春积雪增多及东亚夏季风的减弱是基本同步的，高原冬春积雪与华东夏季降水的正相关、与华北及华南夏季降水的负相关主要是建立在年代际时间尺度上，因此，高原积雪与我国夏季降水关系的研究应以亚洲季风环流的年代际变化为背景。     

青藏高原春季积雪多、少年中低层环流对比分析

利用青藏高原(下称高原)68个气象测站1961-2007年逐日积雪观测资料,分析了高原春季积雪日数变化及其异常偏多、偏少年的环流特征,还深入分析了春季积雪的多少对北半球夏季环流的影响。结果表明,在高原春季积雪日数偏多、少年,在500 hPa高度场上欧亚(东半球)地区中高纬度虽然均表现为两槽一脊的环流形势,但积雪日数偏多、少年槽脊的位置和强弱明显不同。同期春季,当高原春季积雪日数偏多(少)时,500 hPa环流场上冰岛低压偏强(弱)、蒙古高压偏强(弱)、印度低压偏弱(强)。高原春季积雪与夏季北半球的主要大气活动中心和影响中国夏季气候的主要大气环流系统之间存在紧密联系,当高原春季积雪日数偏多(少)时,夏季500 hPa环流场上东亚地区易(不易)形成阻塞高压,同时西太平洋副热带高压易(不易)偏南。这种关系说明高原春季积雪有一定前兆意义,对中国短期气候预测有重要的指示意义。     

2015年汛期气候预测先兆信号的综合分析

文章全面回顾了发布2015年汛期预测时考虑的先兆信号及其应用情况。2015年春夏季厄尔尼诺事件进一步发展,并由中部型向东部型转变,热带印度洋为一致偏暖模态发展;冬、春季北大西洋三极子为正位相;冬、春季北极海冰较常年略偏少,南极海冰偏多;冬季欧亚积雪增量略少,青藏高原积雪略多但气温偏高。通过诊断分析,认为2015年汛期预测的主导外强迫信号是太平洋厄尔尼诺事件和印度洋海温一致偏暖模态。同时参考动力气候模式的预测,在4月初的预报中,重点考虑了厄尔尼诺事件的强度和空间型变化对东亚夏季风环流的影响,有利于东亚夏季风偏弱,西太平洋副热带高压偏强偏西,季风季节内进程偏晚,我国降水呈南多北少型。在5月底的订正预报中,进一步考虑热带印度洋偏暖模态对副热带高压偏强偏西偏南的影响,以及南半球越赤道气流强度偏弱特征及对夏季风季节进程和强度的影响。经过综合分析,准确地预测了2015年东亚夏季风偏弱、我国夏季降水南多北少的布局,以及季节内主要气候事件的演变。最后对汛期气候预测存在的不足进行了初步分析和讨论。     

2015年汛期气候预测先兆信号的综合分析

文章全面回顾了发布2015年汛期预测时考虑的先兆信号及其应用情况。2015年春夏季厄尔尼诺事件进一步发展,并由中部型向东部型转变,热带印度洋为一致偏暖模态发展;冬、春季北大西洋三极子为正位相;冬、春季北极海冰较常年略偏少,南极海冰偏多;冬季欧亚积雪增量略少,青藏高原积雪略多但气温偏高。通过诊断分析,认为2015年汛期预测的主导外强迫信号是太平洋厄尔尼诺事件和印度洋海温一致偏暖模态。同时参考动力气候模式的预测,在4月初的预报中,重点考虑了厄尔尼诺事件的强度和空间型变化对东亚夏季风环流的影响,有利于东亚夏季风偏弱,西太平洋副热带高压偏强偏西,季风季节内进程偏晚,我国降水呈南多北少型。在5月底的订正预报中,进一步考虑热带印度洋偏暖模态对副热带高压偏强偏西偏南的影响,以及南半球越赤道气流强度偏弱特征及对夏季风季节进程和强度的影响。经过综合分析,准确地预测了2015年东亚夏季风偏弱、我国夏季降水南多北少的布局,以及季节内主要气候事件的演变。最后对汛期气候预测存在的不足进行了初步分析和讨论。     

东亚经圈环流年代际变化及对海河降水影响

基于NCEP/NCAR和ERA 40两套再分析资料及中国160个站月降水资料,分析了海河流域夏季降水的变化特征及受东亚夏季风的影响,并定义了东亚夏季经圈环流指数,研究了东亚夏季风的年际和年代际气候变化特征及与海河流域夏季降水的关系。结果表明：近30年来,夏季东亚地区对流层低层和高层的西风均呈现反位相的变化特征,同时东亚地区对流层低层南风分量异常减弱,中低纬度的经圈环流也呈现减弱趋势,夏季风的强度随之减弱,不利于夏季雨带向北推进。文中定义的东亚夏季经圈环流指数与海河流域夏季降水存在显著的正相关关系,说明经圈环流指数值越大,东亚经圈环流强度越强,利于夏季东亚季风向北推进,从而使海河流域夏季降水偏多。反之,当东亚夏季风偏弱时,东亚经圈环流也偏弱,不利于海河流域降水偏多。本文结果表明,东亚经圈环流的年代际减弱是海河流域近30年处于少雨期的一个直接原因。     

2006年高原夏季风强弱变化及其与西南地区东部夏季气温和降水的关系

利用2006年西南地区东部37个测站逐日降水量、气温资料和NCEP/NCAR R2再分析日平均资料,通过相关分析和合成分析,研究分析了高原夏季风季节内变化特征,讨论了高原夏季风强弱变化特征及其与西南地区东部夏季气候的关系。结果表明:高原夏季风的变化和西南地区东部夏季气候变化关系密切。当高原夏季风偏强(弱)时,南亚高压、中高纬度环流、西太副高、西风带环流、低层流场以及垂直运动等均有显著变化,进而影响到西南地区东部夏季气候。高原夏季风的季节内变化与青藏高原大气热源呈显著正相关关系,青藏高原热力作用对高原夏季风的异常变化有重要作用。     

高原冬季风及热带太平洋海温对西南地区冬季气温的影响

利用1979~2008年西南地区115个测站逐日气温资料和NCEP/NCAR R2日平均再分析资料,通过相关分析和合成分析,讨论了高原冬季风季节内变化特征及其与西南地区冬季气温之间的关系。结果表明:高原冬季风指数和同期西南地区冬季平均的逐日气温呈反相关关系。高原冬季风偏强、偏弱时,对流层高层、中层、低层环流场分布形势均有显著差别,当高原冬季风偏强时,同期东亚冬季风偏弱,Nino3.4区海温偏高,对流层从高层到低层环流场形势均不利于西南地区冬季低温;当高原冬季风偏弱时,同期东亚冬季风偏强,Nino3.4区海温偏低,对流层从高层到低层环流场形势均有利于西南地区冬季低温。      

青藏高原大气热量源汇年际变化青藏高原大气热量源汇年际变化

本文使用1961～1995年逐月青藏高原地区大气视热量源汇＜Ql＞资料、1961～1990年青藏高原地区积雪日数和积雪深度资料、美国NCEP／NCAR的再分析资料以及1975～1994年全球OLR资料，讨论了高原大气热状况年际变化及其与大气环流的关系，发现：高原地区大气热源年际变化明显，其中春季和秋季高原地区＜Ql＞的变率最大，并且水平分布很不均匀；当冬季高原冷源弱(或强)时，东亚大槽位置偏东(或西)，对应着东亚强(或弱)的冬季风；夏季高原热源强(或弱)的年份，在高原及其邻近地区的对流层中、低层为偏差气旋环流(或反气旋环流)，在中国长江流域低层为异常的西南风(或东北风)，对应着东亚强(或弱)的夏季风，夏季高原热源强度还与南亚高压的强度和位置有关；春季4月的积雪状况与夏季高原大气热源强度有明显关系；夏季高原热源与同期青藏高原东南部、孟加拉湾、中南半岛、东南亚、中国西南部、长江流域和从黄海到到日本海一带对流有明显正相关     

影响南海夏季风爆发因子的诊断研究

通过南海夏季风爆发偏早年和偏晚年前期冬春季东亚地区的环流、积雪及海温等要素特征的诊断分析,揭示了南海夏季风爆发时间早晚与前期冬季东亚大气环流、热带对流、热源及热带太平洋海温的异常分布有密切联系,南海夏季风爆发偏早年的前期有冬季风偏强,高原积雪偏少,海洋大陆地区的对流活跃、热源增强及LaNina型海温分布等主要特征;南海夏季风爆发偏晚年的前期特征则基本相反。根据1997～1998年冬春环流、积雪及海温等的特征作了1998年南海夏季风爆发时间的预测,其结果与1998年的实况基本一致。     

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。     

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;     

Information for Contributors

正Journal of Meteorological Research is an international academic journal in atmospheric sciences edited and published by Acta Meteorologica Sinica Press,sponsored by the Chinese Meteorological Society.It has been acting as a bridge of academic exchange between Chinese and foreign meteorologists and aiming at introduction of the current advancements in atmospheric sciences in China.The journal columns include Articles.Note and Correspondence,and research letters.Contributions from all over the world are welcome.