广州地区局地环流的数值模拟

利用中国科学院大气物理研究所的Eta模式和中-β气象预报模式,选择广州地区不同季节的47天,得到47例(包括夏季和冬季)24h环流的数值模拟结果,经过认真分析。得到影响广州地区的主要局地环流型有三种,即辐合气流型、辐散气流型、热岛环流型。从模拟的统计结果来看,辐合气流型、辐散气流型、热岛环流型分别为28％、26％、36％,为广州市空气污染数值预报提供了典型的气象场资料。     

利用RAMS模式对山谷城市冬季局地风场的数值模拟

利用美国科罗拉多州立大学和MRC/ASTER发展的中尺度数值模式RAMS, 采用三重嵌套的方法, 模拟研究了兰州山谷地区局地环流特征。结果表明： （1）兰州市近地面流场以偏东风为主, 在城市东西部之间的狭窄地带, 风速相对较大些, 在东西部山谷城市中心区域有大片的静风区; 冬季兰州市山谷夜间是辐合流场, 白天是辐散流场。受城市热岛环流的影响, 白天热岛环流抑制谷风环流, 夜间增大山风环流, 夜间的山风风速大于白天的谷风风速。（2）白天, 兰州市区山顶和山谷之间上空气柱以下沉气流为主, 这主要是由于地形作用使得白天盛行谷风环流和山峰加热作用的共同影响。夜间, 兰州市区山顶和山谷之间上空以上升气流为主, 这主要是由于地形作用使得市区和山谷在夜间盛行山风环流, 但是冬天夜间兰州市区和山谷上空有较厚的逆温层存在, 抑制了气流的上升运动。（3）在午后13：00左右, 兰州市区山谷从近地面到400 m高度, 辐散场在逐渐减弱, 在510 m左右的高度转变为辐合场; 皋兰山顶上空从近地面到400 m高度, 辐合场在逐渐减弱, 在510 m左右的高度转变为辐散场。在凌晨01：00左右, 兰州市区山谷从近地面到400 m高度, 辐合场在逐渐增强, 到400 m高度达到最强, 从400 m到510 m高度又逐渐减弱; 皋兰山顶上空从近地面到220 m左右的高度, 辐散场在逐渐减弱, 在400 m左右的高度辐散场转变为辐合场, 从400 m到510 m左右的高度, 皋兰山顶的辐合场逐渐增强。     

利用MM5模式及NCEP资料对沈阳一次污染天气的数值模拟

利用NCEP/NCAR再分析资料和中尺度天气模式MM5对2010年1月14—19日沈阳大气污染天气系统进行模拟分析。对此次天气过程的地面和高空气压场、地面至高空各高度层随时间变化的水平风场及垂直剖面风场、垂直方向温度廓线等气象要素进行分析和模拟,描述大气污染中天气系统的变化过程,分析造成大气污染的气象要素变化。结果表明：此次污染天气过程对应地面场为长白山高压、地形槽环流型;500 hPa高空天气形势为两槽一脊,地面风场主要受高压辐散气流控制;地面至高空不同高度的水平风场均有偏南风切变和偏西风切变,垂直剖面风场对应有下沉气流,地面至高空的温度廓线出现明显的逆温。这些气象条件共同造成了持续污染天气。而500 hPa位势高度场持续长时间两槽一脊的环流形势,是造成长时间污染天气的主要原因。     

北京地区一次局地强降水过程的数值分析

应用网格距为3 km的中尺度模式MM5v3及3DVAR同化系统,对2006年6月27日夜间发生在北京地区的一次局地强对流天气过程进行了模拟分析.结果表明,模式能够较好地模拟出本次城区西部的局地强降水过程,反映出降水事件的局地性、突发性和短历时特征.分析还表明,直接造成本次暴雨过程的是两个局地生成的中尺度对流系统,地面中尺度辐合线是降水的主要触发机制之一.北京周边陡峭地形的存在,导致山前偏南、偏东气流在迎风坡强烈爬升,并与北面、西面来的过山气流共同作用在山前形成垂直方向次级环流,是强降水维持的主要物理机制.此外,不断发展的城市下垫面亦会对降水过程产生影响.     

北京稳定天气条件下城市边界层环流特征数值研究

采用科罗拉多大学和MRC／ASTER共同开发的区域大气模拟系统（RAMS）对北京地区稳定天气条件下的个例进行数值模拟,通过对数值模拟结果与观测事实的比较以及敏感性试验,分析了北京城市边界层环流特征和环流影响因子在环流发展过程中的作用。结果表明：①在山谷风环流和热岛环流相互作用下形成了北京城市边界层流场特有的局地环流。②热岛中心在决定边界层环流的辐合区位置上起相对较大的作用,边界层环流的强度和发展高度由山谷风强度和热岛强度共同决定。     

城市化对江苏气候变化影响的数值模拟个例分析

利用MM5模式对2003年夏季6、7两个月典型区域气候极端事件进行数值模拟,研究城市化急剧扩张对区域气候极端事件的影响和可能机制.研究发现:苏南及邻近地区城市化区域的扩张,会引起区域降水分布的变化.在城市化区域,降水将减少,而在城市化的下风区会有局地的降水增加;同时,在苏南城市化区域中,太湖等湖泊的影响也很重要,会加强其邻近地区局地降水强度.城市化区域的地面气温有明显的上升,对高温天气的作用更大.城市化也会影响地面风场,阻挡穿越城市化区域的风;苏南沿海城市化区域扩张,会使海陆风环流增强,加大了海面向陆面的风.城市化区域的潜热通量明显减少,而感热通量显著增加.城市化增暖产生的局地热源,使城市化区域及邻近地区局地环流发生变化,增强了低层城市化区域向周边辐散的强度.随着高度的增加,城市化的影响也越来越小.     

珠江三角洲典型灰霾天气过程和清洁过程近地层流场的EOF对比分析

利用广东省466个地面自动气象站资料、广州气象站常规气象资料及珠江三角洲4个主要城市的PM 10浓度等资料,通过矢量EOF方法,对选出的珠江三角洲典型灰霾天气过程(2004年1月4~10日)和清洁过程(2005年11月15~21日)的近地层流场进行对比分析。分析表明典型灰霾天气过程第二、三模态有非常明显的日变化特征,受局地中小尺度环流系统影响,污染物局限在当地,出现严重的灰霾天气;而清洁过程与强平流输送有关,主要受大尺度环流系统影响。     

一次局地大暴雨三维风场的双多普勒雷达探测研究

使用地基双多普勒天气雷达综合和连续调整技术 (MUSCAT), 对2001年7月13日安徽省合肥、马鞍山双多普勒雷达同步探测到的暴雨系统进行三维风场反演.其暴雨系统的流场特点是在低层存在切变线和辐合线, 高层气流辐散, 有明显的垂直环流; 低层的水平辐合区与高层的水平速度的辐散区相匹配, 对应着上升运动; 下沉气流在近地面层形成的向外流出的辐散气流促使暴雨系统前方低层暖湿空气上升; 南北强回波单体在全椒附近合并, 单体合并首先从低层开始, 然后扩展到中高层, 造成全椒地区的局地强降水; 中低层的切变线和辐合线是强回波单体合并的动力因素; 流场特征是在其上空形成中尺度涡旋.最后, 给出了这次暴雨的概念流场模型.     

急流次级环流对局地持续强风暴天气的作用

利用天气图、雷达回波和地面风场资料对1994年6月28日陕西中部发生的一次罕见的长时间局地大风、冰雹、暴雨天气进行诊断分析。结果表明：这次过程出现在500hPa槽前和700hPa低涡暖式切变线附近；强风暴发生在高空急流入口区右侧辐散和低空急流左前侧辐合重叠区，与地面中尺度气旋活动紧密相关；证实了地面中尺度气旋是由高低空急流耦合产生的次级环流引起，次级环流控制着中尺度系统发展变化。     

中国地区对流层臭氧变化和分布的数值研究

利用三维中尺度非静力模式ＭＭ５和化学模式,对１９９４年８月１６～１８日,１９９５年１月７～９日冬夏两个不同时期中国大陆大气对流层臭氧及其前体物质的分布进行了数值模拟。同时深入地分析了青藏高原地区夏季对流层臭氧的分布。模拟结果地面臭氧和ＮＯｘ的分布与观测结果基本一致,人类活动和光化过程是决定地面臭氧和ＮＯｘ的主要因子。对流层臭氧浓度的分布与气流的辐合辐散存在较好的对应关系,辐合区臭氧浓度较高,辐散区臭氧浓度较低。夏季,青藏高原中低空存在很强的辐合气流,使周边臭氧向高原辐合;而高原高空,受南亚高压控制存在很强的反气旋环流,臭氧由高原向周边辐散。冬季,受西风气流控制,臭氧分布表征大尺度特征。西风急流区臭氧浓度偏低,而急流两侧臭氧浓度偏高。     

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。     

Retrieval of outgoing longwave radiation from COMS narrowband infrared imagery

Hourly outgoing longwave radiation(OLR) from the geostationary satellite Communication Oceanography Meteorological Satellite(COMS) has been retrieved since June 2010. The COMS OLR retrieval algorithms are based on regression analyses of radiative transfer simulations for spectral functions of COMS infrared channels. This study documents the accuracies of OLRs for future climate applications by making an intercomparison of four OLRs from one single-channel algorithm(OLR12.0using the 12.0 μm channel) and three multiple-channel algorithms(OLR10.8+12.0using the 10.8 and 12.0 μm channels; OLR6.7+10.8using the 6.7 and 10.8 μm channels; and OLR All using the 6.7, 10.8, and 12.0 μm channels). The COMS OLRs from these algorithms were validated with direct measurements of OLR from a broadband radiometer of the Clouds and Earth's Radiant Energy System(CERES) over the full COMS field of view [roughly(50°S–50°N, 70°–170°E)] during April 2011.Validation results show that the root-mean-square errors of COMS OLRs are 5–7 W m-2, which indicates good agreement with CERES OLR over the vast domain. OLR6.7+10.8and OLR All have much smaller errors(～ 6 W m-2) than OLR12.0and OLR10.8+12.0(～ 8 W m-2). Moreover, the small errors of OLR6.7+10.8and OLR All are systematic and can be readily reduced through additional mean bias correction and/or radiance calibration. These results indicate a noteworthy role of the6.7 μm water vapor absorption channel in improving the accuracy of the OLRs. The dependence of the accuracy of COMS OLRs on various surface, atmospheric, and observational conditions is also discussed.     

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;