气象条件对广州地面O3浓度分布的影响

根据大量T106观测资料,统计出东亚地区影响广州天气的两大环流型,一类是偏西气流,另一类是偏东南气流,并在这两类天气类型环流型下利用Eta模式和中-β气象预报模式对广州流场进行模拟研究,得到影响广州地区的局地环流主要有三类:辐合气流型、辐散气流型和热岛型.选择典型的局地环流气象场作为高分辨化学模式的输入场,模拟得到不同气象条件下广州地区地面O3浓度的分布.分析结果表明:辐散型流场下广州市地面O3浓度最低,热岛环流型广州市地面O3浓度最高.分析了两个监测站(市中心和清洁区)地面O3浓度随时间的变化,并将实测值与计算值进行比较,发现无论是市中心还是清洁区O3浓度变化都具有明显的周期性,呈现出规律性的日变化趋势;而计算值与实测值具有相同的周期性变化规律,并在相位上保持一致.     

河南特强暴雨β中尺度流场发展机理的数值模拟研究

采用宇如聪等研制开发的η坐标有限区域中尺度暴雨数值预报模式AREM,对2004年7月16—17日发生在河南的一次特大暴雨过程进行了数值模拟。模拟结果表明:凝结潜热促使对流层中层大气在β中尺度水平范围的气柱内得到加热,中高层大气的等压面抬高并形成β中尺度高压,中低层大气的等压面降低并形成β中尺度低压,上下层的共同作用促进了垂直运动的迅速发展。当上升运动强烈发展时,在其四周有明显的补偿下沉气流出现:在强上升运动南侧,对流层高层辐散气流向南回流导致对流层高层出现中尺度垂直环流圈,它的下沉支融入上升运动区南侧的补偿下沉气流中,并将高空的水平动量带到对流层低层形成一支新的β中尺度急流;在强上升运动北侧,对流层低层发展出了一支中尺度垂直环流圈,其下沉支向南的辐散气流与低层西南暖湿气流汇合,形成β中尺度辐合线,加强了暴雨区上空低层的辐合;在强上升运动东侧,对流层低层也有一支中尺度垂直环流发展,其下沉支中向西的辐散气流使该区域原来较为一致的西南气流出现向东的偏转,从而在西南气流中形成气旋性弯曲,更进一步加强了β中尺度辐合线上的辐合。对流层低层非地转涡度的强烈发展是β中尺度气旋形成的重要原因。最后给出了强暴雨β中尺度流场发展机理的三维空间示意图。     

一次强对流的三维数值模拟分析

利用中国科学院大气物理研究所的完全弹性三维雹云数值模式（IAP—CSM3D）,对2007年7月21日发生在湛江的一次强对流进行数值模拟,分析了强对流的气流结构、垂直涡度、雷达回波及含水量分布变化特征。结果表明,模拟的回波最大强度与雷达实测结果较吻合。模拟的强对流发展阶段气流结构的典型特征为下层水平辐合,上层水平辐散,气流在5km高度发生转向;处于成熟阶段的底层辐合比发展阶段的更强。随着时间的推移,近地层气流先辐合后辐散,下沉辐散气流一直持续到冰雹云消散。模拟的风暴云高含水量中心与强回波中心相对应,出现在上升气流最大区域附近,这说明该风暴云的动力场与物质场配合较好。     

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。     

低纬高原地区南支槽强降水中尺度MCS系统的模拟与分析

选取2002年5月11～13日云南地区的一次南支槽强降水过程，利用MM5非静力中尺度数值模式对这次降水过程进行了数值模拟，利用模式高分辨率的输出结果分析了这次强降水中尺度对流系统的结构特征。分析结果表明：强对流系统的低层环境风场为西南和东南气流辐合，高层则为一致的槽前西南气流。低层强正涡度暖湿气流辐合上升区紧邻辐合线的西南侧，槽前西南暖湿气流在辐合线附近冷空气的作用下辐合上升，形成强降水，强降水落区位于低层700hPa强正涡度暖湿气流辐合上升区的西南侧。对物理量要素的时间演变分析表明：在对流发展初期，沿辐合线的正负涡度、辐合辐散、上升与下沉运动在垂直方向和水平方向上相间分布，呈多个模态；当对流发展较强时演变为单一模态分布，即辐合线附近低层为正涡度辐合气流上升区，而高层为负涡度辐散气流下沉区。其中低层辐合较为浅薄，位于地面到600hPa高度，而正涡度和垂直速度较为深厚，可以从地面向上分别伸展到400hPa和200hPa高度。研究还揭示了低纬高原地区中尺度对流辐合系统的垂直轴线随高度向辐合区东北侧（高纬度地区）倾斜的特征，这是低纬高原地区南支槽强降水中尺度对流系统与其它切变线、准静止锋和低涡等中尺度对流系统不同的最主要特征之一。     

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。     

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。     

山东半岛一次暴雪过程的海岸锋三维结构特征

采用中尺度数值模式MM5对2005年12月山东半岛持续性降雪过程中的11～15日暴雪过程进行数值模拟试验,利用高分辨率的模拟结果分析海岸锋的发展过程和三维结构特征以及对强降雪的影响等.结果指出,海岸锋水平结构是偏北风和偏西风的气旋性切变;气流在海岸锋西北侧辐合上升,在东南侧辐散下沉,上升气流最高达700 hPa.海岸锋...     

AREM模式对“04·08”豫中大暴雨的数值模拟和诊断分析

利用中尺度有限区域数值模式AREM,对2004年8月4日豫中一次大暴雨过程进行数值模拟和诊断分析。模拟结果表明：暴雨中心位于河南省中南部,中心强度达200 mm;高空冷平流南下,地面冷空气入侵,中低层有较强的辐合气流。模拟的暴雨落区与实况相一致,但中心强度较实况151 mm略大;模拟的环流形势也与实况环流形势一致。对模拟物理量诊断分析结果表明,在有利的垂直速度、散度场和比湿条件下,暴雨区中低空存在明显的水汽辐合,且水汽辐合区位于700 hPa及以下,强水汽辐合区位于900 hPa附近,从低层到高层较强的水汽辐合,暴雨区的水汽充分辐合上升,是造成此次大暴雨天气的主要原因。     

"98.5"华南前汛期暴雨的非静力数值模拟和中尺度系统分析

为了对华南暴雨进行深入的数值模拟研究,在对1998年5月23～24日(简称“98．5”)华南暴雨进行天气分析的基础上,利用非静力中尺度数值模式MM5对该次暴雨过程进行了数值模拟。数值模拟结果和客观分析结果的比较表明,模拟结果可以再现造成暴雨的大、中尺度环流条件。造成此次暴雨的中尺度系统具有暖心高湿结构,高空辐散,低空辐合及对应的强上升运动和气旋性涡柱是造成这次暴雨的动力学机制,低空偏南气流对这次暴雨的产生和发展起着重要的作用。模拟的降水中心与观测的较接近,位置略偏南、偏西,雨量略小,但降水时段和雨区模拟较好。降水发生在喇叭口等有利地形;高低分辨率的地形资料对本次降水的模拟结果影响不大。     

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.     

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.     

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.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

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.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on