基于Grimm180粒子仪对塔克拉玛干沙漠沙尘暴的定量观测

为了得到沙尘粒子和沙尘质量浓度的实时定量特征,利用Grimm180粒子仪在塔克拉玛干沙漠对沙尘暴进行了实时观测。通过分析Grimm180粒子仪在2018年5月20日和24日两次沙尘暴过程观测的数据得到:在浮尘、扬沙和沙尘暴期间,PM_2.5的质量浓度值随时间变化不大,一般PM_2.5浓度值<1500μg·m^-3,而PM₁₀在不同阶段的变化比较明显,数值在2000~6000μg·m^-3。沙尘粒子谱和沙尘质量浓度谱的分布形状在浮尘、扬沙和沙尘暴基本相同,当粒子直径>0.35μm时,粒子数浓度随直径的增大近似符合M-P分布。从浮尘到扬沙再到沙尘暴,小粒子区(D≤1μm)的占比越来越小,而中粒子区(1μm10μm)的粒子数越来越多并且占比越来越大。当粒子直径为0.35μm左右时,粒子数浓度达到最大值;当粒子直径在25~32μm时,沙尘质量浓度的值最大。在浮尘和扬沙阶段,PM_2.5/PM₁₀>25%;每分钟1 L体积内的沙尘粒子总数大约是4×10⁵,最大沙尘质量浓度<20μg·L^-1。在沙尘暴阶段,PM_2.5/PM₁₀<15%;每分钟1 L体积内的沙尘粒子总数>5×10⁵,最大沙尘质量浓度>25μg·L^-1。这些结论为准确地分析沙尘暴的定量特征提供了科学依据。     

一次霾条件下石家庄上空气溶胶的观测研究

利用2010年9月1日石家庄市区一次飞机探测的气溶胶资料,分析了石家庄市区上空大气气溶胶的数浓度与直径的垂直、水平分布特征及粒子谱分布。结果表明:600—3000 m高度范围内,气溶胶粒子平均数浓度为1443.1个/cm~3,粒子平均直径为0.194μm。3000—6900 m高度范围,气溶胶粒子平均数浓度为95.3个/cm3,粒子平均直径为0.192μm。气溶胶数浓度随着高度增加而迅速减少,受逆温层与云区分布的影响,数浓度曲线呈现一定程度的波动。由于探测当天高空风的影响,粒子数浓度明显比其他霾天气条件下的研究结果要低。云中,气溶胶数浓度与粒子平均直径数呈负相关性。云层对气溶胶的垂直分布影响较大。气溶胶粒子谱覆盖了0.10~1.05μm的尺度范围,粒子主要集中在0.1~0.3μm的范围内。600 m、1200 m、1800 m和3000 m的气溶胶粒子谱呈双峰分布,粒子谱谱型较为相似,4500 m和6900 m粒子谱呈单峰分布。气溶胶粒子尺度谱峰值随高度增加而减少,谱变窄。气溶胶粒子浓度水平变化幅度远小于垂直方向上的变化幅度,受天气条件及下垫面、云区等局地影响因子的影响较大。     

敦煌地区春季大气气溶胶粒子数浓度的分析

利用2002年春季在敦煌地区戈壁沙漠和绿洲农田观测的大气气溶胶粒子数浓度资料, 分析了它与沙尘天气的关系、谱分布特征以及两种地表下粒子数浓度的差异.结果表明, 不同天气条件下的大气气溶胶粒子数浓度有着不同的特征.在背景天气下, 敦煌地区的大气气溶胶粒子数浓度通常在104L-1以下, 其中以直径在0.5～1.0 μm之间的极细颗粒为主, 绿洲农田细粒子(直径＜3.0 μm)的数浓度高于戈壁沙漠, 而较粗粒子(直径＞3.0 μm)则相反.当沙尘天气发生时, 该地区的大气气溶胶粒子数浓度增大到105 L-1以上, 直径在1.0～3.0 μm之间的细粒子变为其主要成分, 戈壁沙漠4档的粒子数浓度均高于绿洲农田, 3.0 μm以上的较粗粒子两地的差异更大.     

一次阴雨条件下河北中南部气溶胶的参数特征分析

利用2009年9月8日华北中南部上空的飞机探测资料,分析了石家庄市和邯郸市区附近大气气溶胶的粒子数浓度、直径、尺度谱分布等时空变化特征。分析表明,降水天气条件下,气溶胶粒子平均数浓度约为137.6个/cm3,平均直径约为0.26μm。气溶胶主要集中于2 000 m以下的对流层低层,气溶胶浓度总体上随高度增加而降低;雨后阴天轻雾天气条件下,气溶胶粒子平均数浓度约为164.7个/cm3,平均直径约为0.16μm。气溶胶在逆温层下累积现象明显,云内气溶胶数浓度明显减少。气溶胶粒子浓度水平变化受下垫面、云区分布等局地因子影响较大。石家庄600 m和6 600 m气溶胶粒子谱呈单峰分布,3 000 m粒子谱呈双峰分布。邯郸6 400 m粒子谱宽较窄,呈单峰分布。     

敦煌沙尘气溶胶质量浓度垂直特征个例分析

针对兰州大学半干旱气候与环境观测站在敦煌地区的沙尘气溶胶加强观测试验,选取2012年春季自然和污染沙尘两种典型天气个例,利用激光雷达退偏观测的优势分离粗(沙尘)、细(背景气溶胶)粒子,反演并对比分析了沙尘气溶胶消光系数及质量浓度的垂直分布特征。研究发现,以4月26日为代表的自然沙尘,粒子退偏比垂直廓线均大于30%,质量浓度呈现单峰结构,1.5 km出现最大值(1 070μg·m~(-3));以4月6日为代表的污染沙尘,有明显的气溶胶分层现象,粒子退偏比介于5%～20%,沙尘质量浓度介于2～45μg·m-3;由于局地污染的影响,污染沙尘的质量消光系数(0.79m~2·g~(-1))明显大于自然沙尘(0. 48 m~2·g~(-1))。因此,为了准确评估沙尘气溶胶的质量浓度,对沙尘天气进行分类,并利用粒子退偏比有效分离沙尘气溶胶尤为重要。     

石家庄地区2005年秋季污染气溶胶飞机观测资料分析

利用河北省2005年10月份的3次气溶胶飞机观测资料和宏观天气资料,综合分析石家庄地区不同天气条件下气溶胶的垂直分布和尺度谱分布特征。分析结果表明:气溶胶浓度的分布与大气环境情况密切相关。气溶胶数浓度最大值的变化范围是103~104cm-3,平均数浓度为103cm-3,粒子平均直径为0.120~0.150μm;21日近地面有霾,相对湿度为58%,近地面气溶胶浓度较17和29日略低,但粒子平均直径(0.165μm)比其余两次要大,可见相对湿度较大,大气中水汽含量较多,有利于小粒子凝结水汽,使粒子直径增大;逆温层结下,粒子在逆温层下累积,无逆温时数浓度最大值出现在近地面附近。气溶胶粒子谱呈单峰分布。     

北京两次沙尘污染过程中PM2.5浓度变化特征

利用北京市空气质量监测数据和气象资料,对2013年2月28日和3月9日两次沙尘污染过程PM2.5(空气动力学当量直径小于等于2.5μm的颗粒物,即细颗粒物)、PM10(空气动力学当量直径小于等于10μm的颗粒物,即可吸入颗粒物)浓度及PM2.5浓度/PM10浓度比值的变化特征进行了分析,研究结果表明:(1)沙尘开始影响北京时,PM2.5与PM10浓度表现出反位相变化,PM10浓度在两次沙尘过程中2 h内分别上升50.8%与202.4%,最高达800μg m-3以上;PM2.5浓度分别下降58.3%与50.9%,直至下降至35μg m-3以下,PM2.5有明显改善现象。(2)虽然PM2.5浓度在沙尘到达前有缓升的迹象,但沙尘抵达后,PM2.5浓度持续快速下降,PM2.5浓度/PM10浓度比值由沙尘影响前的0.75以上降至0.25以下。沙尘影响前,PM2.5日均值均超过150μg m-3,北京地区处于重度污染水平。这说明沙尘来临前以人为污染为主,主要由细粒子"贡献",沙尘来临后的空气污染,主要由巨、大粒子的沙尘"贡献"。     

北京及周边地区2003年夏秋季气溶胶和云滴分布特征

对2003年夏秋季利用机载PMS在北京及周边地区进行的不同天气状况下6次气溶胶粒子探测资料进行了分析.结果表明,北京及周边地区气溶胶粒子的分布,在不同天气背景时有较大差别.粒子平均浓度的最大值为3.46×102cm-3,最大粒子浓度为5.26×103cm-3,相差一个量级;粒子平均最大直径为1.392μm,最大直径为2.75μm.粒子平均浓度的最小值为25.7cm-3.在有雾的天气条件下,气溶胶粒子浓度在近地层基本随高度的增加而减小,粒子尺度变化较为复杂.在阴雨天气情况下,气溶胶粒子浓度和尺度都有增加的现象.另外,逆温层底存在明显的气溶胶粒子累积.0℃层以下气溶胶粒子呈单峰分布,0℃层以上气溶胶出现双峰结构.小云粒子一直是多峰结构,峰值直径分别在3.5μm、12.5μm、23.5μm处.     

珠江三角洲地区大气气溶胶特征的飞机观测分析

利用2010年11月6日在珠江三角洲的佛山、江门等地区上空进行的一次飞机探测数据,初步分析气溶胶粒子的垂直和水平分布特征。结果表明,气溶胶粒子在不同的高度有较大的差异,自下而上存在着累积层、递减层和增加层,在1 033 m以下的大气边界层存在气溶胶粒子的累积,气溶胶粒子最小浓度为1 151.15/cm3,高度1 033 m;最大浓度为7 307.38/cm3,高度627 m;平均浓度5 775.63/cm3,平均直径0.212 μm,最大直径0.219 μm,最小直径0.189 μm。在1 033 m以上,气溶胶粒子浓度随高度增加而递减,但在逆温层附近气溶胶粒子的浓度出现了随高度增加而增加的现象。在江门鹤山上空3 800 m的高度层平飞时段,气溶胶粒子数浓度平均为19.74/cm3,变化范围1.97～53.65/cm3。对不同高度粒子谱分析表明,其谱型为多峰型,且高度越高,谱宽越窄,大粒子基本集中在1 000 m高度以下。      

沙尘传输路径上气溶胶浓度与干沉降通量的粒径分布特征

利用2002年春季中国北京、青岛和日本福冈3个地区的分级气溶胶浓度资料,结合改进的Wil-liams模型,分析了沙尘传输路径上空气动力学直径≤11μm气溶胶(PM11)浓度和干沉降通量的粒径分布特征,并估算了黄海海域春季PM11的干沉降通量及不同粒径气溶胶的贡献。结果表明:3个地区PM11浓度粒径分布在非沙尘时期呈双峰分布,两个峰值分别出现在细颗粒(<2.1μm)部分和粗颗粒(2.1～11μm)部分;沙尘时期,3个地区PM11浓度粒径分布均趋于单峰分布,峰值位于粗颗粒部分,并且越靠近沙尘源地,这种趋势越明显。较强沙尘天气时期,粗颗粒部分的浓度峰值粒径从沙尘源地附近到黄海西岸、东岸呈降低趋势,但在一般沙尘天气时期,这种现象并不明显。沙尘时期和非沙尘时期,3个地区粗颗粒的干沉降通量均随粒径增加而增大,细颗粒的干沉降通量随粒径的变化不明显。虽然沙尘时期粗颗粒沉降通量较非沙尘时期有明显增加,但粗颗粒对PM11干沉降通量的贡献与非沙尘时期相比,并没有明显的变化。较强沙尘天气时期,3个地区粗颗粒的干沉降通量明显高于一般沙尘天气时期;细颗粒的干沉降通量较一般沙尘天气时期略有增加。黄海海域春季沙尘时期PM11的干沉降通量约为31.70～58.59mg.m-2.d-1,非沙尘时期约为8.33～15.94mg.m-2.d-1。粗颗粒是黄海海域春季PM11干沉降通量的主要贡献者,约占PM11干沉降通量的94.2%以上。     

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.