辽宁中部城市群夏季大气能见度的观测研究

利用2009年6—8月辽宁中部4个城市的观测资料,分析了辽宁中部城市群夏季的季、月、日能见度分布,并探讨了能见度的日变化特征及其影响因子。结果表明:辽宁中部城市群内各城市夏季大气能见度月际变化趋势基本一致,天气系统和大气环境比较均一,具有明显的区域性特征;各城市大气能见度日变化呈明显的单周期谷、峰形分布,06时前后能见度最差,15—16时最好;大气细粒子、水汽和风速都对城市群能见度有一定的影响,其中,大气细粒子是主要影响因子;城市群夏季的低能见度时次,仅有一小部分是由轻雾引发的,而大部分则是由霾天气造成的。     

辽宁雾预报区的划分初探

分析了1997—2006年辽宁境内能见度小于1000 m雾的时空分布特征。结果表明：就雾发生的频率而言,辽宁存在两个高值区和两个低值区,高值区分别位于黄海北部沿岸至辽宁东部山区和锦州北部至阜新一带,低值区分别位于辽宁中北部平原以及朝阳地区。从雾的日变化上看,近86%的雾出现在夜间,近69%的雾出现在02-08时,且多为辐射雾。地域不同但气候条件相近时,雾的日变化与雾发生的次数存在极其相似的特点。依据相似的地理环境和气候条件、雾的日变化特征以及雾发生次数等,将辽宁划分为5个预报区,对雾采取分区预报,以提高雾预报的准确率。     

中国近海航空危险天气的气候特征

利用ICOADS和LIS OTD资料分析了中国近海航空危险天气—低能见度和海雾、低云和积雨云、大风和雷暴的气候特征。中国近海低能见度和海雾主要发生在5—7月黄海以及东海北部。渤海海雾发生频率较低,且大多限于渤海海峡附近,仅在7月扩展至渤海湾内。东海温州以南和南海海雾发生频率亦较低,且主要集中在1—5月沿岸海区。低云主要发生在东海,低云频发时段为11月至次年4月,其中1月低云频率最高,范围最广,分别向北和向南扩展至黄海北部和南海东北部。积雨云高频区主要位于西太平洋暖池所在区域,中国沿海积雨云出现频率较低。大风主要发生在东海和南海东北部,特别是台湾海峡和巴士海峡,大风频发时段为10月至次年3月。雷暴主要发生在沿岸海区,包括渤海西北部沿岸、山东南部和江苏北部沿岸以及南海北部沿岸。     

辽宁地区夏季不同历时极端降水时空变化特征

利用1981—2015年辽宁省54个气象站降水观测资料,采用气候趋势系数、Morlet小波分析和Mann-Kendall突变分析等气候统计方法,分析了辽宁省夏季不同历时极端降水的时空变化特征。结果表明:1981—2015年夏季辽宁省西南部沿海、渤海北部沿海、黄海北部沿岸地区及大连市区为极端降水阈值大值区,辽宁省西部地区和东部山区极端降水阈值较小,极端降水强度的空间分布特征与极端降水的阈值相似。辽宁省夏季不同历时极端降水发生频次的分布特征基本相同,时间长期变化趋势不明显,主要表现为年际变化,存在3 a、5 a和8 a的变化周期,东部山区极端降水发生频次较多,环渤海沿岸和朝阳地区极端降水发生频次较少。近35 a夏季辽宁省24 h、12 h、6 h、3 h和1 h降水量极值的空间分布极不均匀,最大值与最小值分别差1.2、1.6、1.6、2.4倍和1.8倍。极端湿期长度最大值出现在新宾地区,为11.3 d;极端干期长度最大值出现在大石桥地区,为24.3 d。     

呼伦贝尔市大气能见度影响因子及一次低能见度个例分析

为探寻呼伦贝尔市大气能见度、低能见度特征及其影响因子,揭示"冰晶雾"天气成因,利用呼伦贝尔市大气能见度资料及地面气象要素资料对4个代表站的能见度进行统计分析,并对一次典型低能见度事件进行分析,结果表明:(1)整个地区大气能见度的气候特征在空间分布及时间演变上均存在较大的不一致性,牧区能见度优于农区;(2)大气能见度与相对湿度和气压呈负相关,与气温和风速以正相关为主;(3)大气低能见度出现的集中时段是冬季,伴随最多的天气现象为结冰、积雪和霜;(4)2 m温度低于零下36℃,对于浓雾的产生具有指示意义。     

辽宁旅顺与山东龙口能见度对比分析

利用2002-2011年渤海海峡两岸辽宁旅顺和山东龙口地面气象站能见度逐时观测资料,采用等级分析法,统计分析两地平均和分级能见度的年、月、日变化特征。结果表明：位于渤海北岸旅顺的年均能见度值高于渤海南岸的龙口,近10 a两地年均能见度均呈下降趋势,龙口年均能见度降低速度高于旅顺;各级能见度的时间百分比旅顺年际变化较大,而龙口相对稳定;一年中两地10月份月均能见度最高,旅顺月均最低能见度出现在7月,龙口出现在6月,两地能见度日变化特征基本一致,呈一波峰一波谷形势。通过分析天气现象及相关气象因子发现,两地出现低能见度（0-1 km）时,风场、温湿场特征均存在明显区域性差异。     

太原大气能见度影响因子分析及能见度预报

利用2017年1月—2019年12月太原地区逐时气象资料,分析了能见度及其主要影响因子的变化特征,并对两次低能见度过程进行深入分析,构建了能见度预报模型并进行检验,结果表明:(1)从空间分布看,太原北部能见度明显高于南部地区。从时间分布看,太原地区平均能见度最大值出现在5月,最小值出现在1月;日间最低值出现在06:00(北京时,下同),冬季略向后推移,最高值出现在15:00前后。(2)2017—2019年太原地区低能见度分别出现93、84、79 d;低能见度发生时,干霾、湿霾发生频率分别为59.27%、40.73%;湿霾发生时,能见度降低更加明显。(3)所选个例中,能见度均随各影响因子有所起伏,干霾、湿霾过程中能见度分别与颗粒物浓度、相对湿度变化一致。(4)采用神经网络方法构建太原地区能见度预报模型,预报模型相关系数为0.81,均方根为4.43 km,平均绝对误差为17.39%,轻微级能见度的TS评分为87%。神经网络方法对太原地区能见度预报具有较高的参考价值。     

基于秒级探空资料的中国地区浮力频率分布

浮力频率用来描述大气层结稳定性,反映大气扰动强弱。利用2014年6月-2017年5月中国地区高垂直分辨率的秒级探空资料,分析了中国地区浮力频率的时空分布特征。结果表明:中国地区大气浮力频率总体随高度的增加而增大,低平流层值大于对流层值;对流层和低平流层中浮力频率随高度变化均较小可视为常数,过渡层浮力频率随高度变化较大,对流层中浮力频率受地形影响较平流层大。对流层中北方地区5 km高度以下的浮力频率随时间呈现出较弱的周期变化,周期为1年,峰值出现在冬季,南方地区随时间无明显变化;在过渡层中南北地区的浮力频率随时间均呈现出1年的周期变化,峰值出现在冬季,谷值出现在夏季;在低平流层中南北地区浮力频率随时间均无明显变化。浮力频率的大小变化对重力波参数有较大影响,秒级探空资料计算的的浮力频率和风速切变更精细,较常规探空资料更准确地反映大气稳定度的变化。     

北京地区低能见度区域分布初探

选用了水平能见度小于1000m的低能见度作为影响城市交通运输的一个指标，并研究了低能见度在北京地区时空分布特征。按水平能见度小于1000m的出现频率，多年日均变化曲线及全年日均、月均、季均变化特征，将北京地区划分为3个区，即东南部平原地区、西北部山区及东北－西南部过渡区。同时讨论了雾、浮尘等天气现象对北京地区低能见度的影响，得出影响北京地区低能见度的主要因子是雾。     

辽宁电线覆冰日数气候特征与大气环流异常的关系

利用1980—2019年辽宁地区11个有电线覆冰观测项目的气象站资料、NCEP再分析资料和Hadley海温资料,分析辽宁电线覆冰日的气候特征以及利于覆冰发生的环流特征和影响因素。结果表明：辽宁电线覆冰现象出现次数存在三个高值地区,分别为辽宁北部地区、辽东山区和辽宁中西部沿海地区。辽宁电线覆冰主要发生在10月至翌年4月,1980—2019年辽宁电线覆冰日数呈显著减少趋势。电线覆冰日数具有显著的年际变化周期,主要的年际变化周期为5—7 a,近40 a年际振荡能量经历了3次增强—减弱的变化。辽宁覆冰高指数年与低指数年秋季9—11月SST距平之差表现为El Nino型分布。覆冰日数异常偏多年,太平洋海温呈现El Nino型,西北太平洋海表温度整体偏冷,日本海区海表温度存在明显负异常;同时大陆上贝加尔湖上空存在高压中心,北半球亚洲地区纬向为“北高南低”的形式,冬季风偏强,冷空气南下频繁。辽宁受到贝加尔湖异常反气旋环流东南侧东北气流控制,鄂霍茨克海上空存在弱反气旋环流,导致日本海上空有异常东风,当南下冷空气与东侧日本海输送的偏冷水汽交汇,容易导致温度较冷的大雾,引发雾凇现象,过冷水汽在电线上凝结,导致电线覆冰现象的发生。     

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.     

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.     

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.     

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.