北上台风对黑龙江省气候背景的影响

本文对产生于海上台风(热带气旋)北上影响黑龙江省的个例,通过统计分析方法对其移动路径、大气环流背景、西太平洋副热带高压进行分析总结。得出能够北上影响到黑龙江省的台风移动路径受到副高体的控制北上,绝大多数的必经之路是勃海湾到朝鲜半岛。不同的月份,由于副高体位置及强度不同,移动路径也不同,得出7月路径比8月路径总体略偏西。7月影响台风直接北上居多,8月影响台风北上与西风带低压系统合并居多。有台风影响的月平均环流,欧亚区中高纬为两槽一脊,乌拉尔山东侧及阿拉斯加各有一个槽。     

盛夏亚洲中高纬度流型与西太平洋台风路径的关系

台风的路径与副热带流型的转变有密切关系,但后者又受西风带流型变化的影响。根据4年的天气图,分析了盛夏亚洲中高纬度的流型与西太平洋台风路径的关系,看出中高纬度东亚阻塞形势、中心气旋和位于亚洲西都、东亚沿海、日本东部的三个长波系统对副热带流型的转变以及台风移动有密切关系。这些关系对副热带高压进退和台风移动的预报(转向还是西行)可以提供有用的线索。     

201002号台风“康森”移动路径特点的分析

通过对台风"康森"路径特点和影响因素的分析,特别是影响台风移动的诸多因子及其对"康森"西行北折路径所起的作用分析,发现:东亚中高纬度贝加尔湖一带为有阻塞高压的长波脊,副热带高压呈带状形势,强度强,稳定,西伸脊点偏西是"康森"稳定西偏北行的主要原因;而大尺度环境场的调整如加尔湖阻塞高压减弱、崩溃,高空槽东移加深,副高减弱东退南落,是"康森"西行北折的主要原因。同时台风中心及附近850hPa涡度场、700hPa风场的分布,对流云的发生发展也影响"康森"的移动路径。     

"海棠""麦莎""泰利""卡努"的路径与金华风雨特征分析

2005年台风“海棠”与“泰利”的移动路径和登陆地点不同于“麦莎”与“卡努”,前2次台风自东南偏东往西北偏西移动并登陆于福建中部沿海,后2次自东南往西北移动并登陆浙江中部沿海,都给浙江造成了巨大影响,但影响金华地区的风雨程度不同。经分析台风移动过程,认为西风带低槽或高压影响到副高,副高影响着台风西行或北上,在西风带低槽或副高影响较弱时,台风内力和地形影响作用加强;台风在副高带状时西行为主,块状时北上为主。分析台风路径的预报过程,认为中央气象台预报为“登陆台风”有3~4天的时效;预报较准确的登陆位置,若路径较有规则为30~54个小时,若不规则路径可能仅为3个小时。分析影响金华的台风风雨程度,认为东路台风雨量分布特征是东部大、西部小;南路台风是东南部大、西北部小;最大风力落区基本相同。地形对不同台风路径下的风雨影响分布略有不同。     

近54年影响清远热带气旋的气候及环流形势特征

利用清远7个气象观测站的1957—2010年历史气象资料和NCEP/NCAR 2.5°×2.5°再分析资料,对影响清远热带气旋(TC)的气候特征及其成因进行分析。结果表明:TC影响异常偏多年份,7—9月200 h Pa南亚高压偏强,高空辐散的抽吸作用对登陆台风低压的垂直运动和低空辐合上升运动有正贡献;500 h Pa副高主体呈带状,TC受副热带高压南侧东南气流操纵,向西北方向移动,常在广东沿海登陆;850 h Pa西南季风强盛,中低层的水汽输送明显增加,从而使台风低压环流在陆上维持或强度减弱缓慢。无TC影响年份500 h Pa副高呈方块状,面积宽广,南海和西太平洋受副热带高压控制,不利于TC生成。     

2010年5月大气环流和天气分析

2010年5月大气环流主要特征如下:北半球高纬度地区极涡呈偶极型,强度偏弱。中高纬度地区环流呈现五波型分布,东亚大槽的强度偏弱,位置偏西。西太平洋副热带高压呈东西向带状分布,脊线较常年偏北,副高西脊点西伸至印度洋一带。2010年5月全国平均气温为16.0℃,较常年偏高0.4℃。全国平均降水量为80.1 mm,较常年同期偏多13.4 mm。月内出现三次较强冷空气过程和三次沙尘天气过程。     

5月孟加拉湾风暴不同移动路径典型个例的大气环境场对比分析

利用JTWC最佳路径数据集及欧洲中心ERA-Interim再分析资料,分析了5月孟加拉湾气旋和风暴的活动特征,并重点分析了4个不同路径的典型孟加拉湾风暴大气环境场差异,初步探讨了影响风暴移动的关键大气环流因子。研究表明:5月孟加拉湾风暴路径分为北上、东北移、西北移、转向4种,其中东北移路径最多,北上路径最少;孟加拉湾风暴的生成和移动与阿拉伯副热带高压和西太平洋副热带高压的相对强弱和位置,以及中高纬度槽脊波动密切联系,同时还与孟加拉湾风暴的生成位置有一定关系,10°N以北孟加拉湾海域生成的风暴容易东北移,10°N以南孟加拉湾海域生成的风暴却容易西北移,这与西太平洋副热带高压边缘不同引导气流的作用有关;孟加拉湾风暴移动路径还与高空急流变化有关,风暴有趋于高空急流右侧辐散区运动的趋势;孟加拉湾风暴生成于弱的垂直纬向风切变区,纬向风移动增强的方向指示孟加拉湾风暴移动的方向。     

台风南玛都移动路径分析

台风路径预报是做好台风预报服务的关键.利用Micaps系统提供的资料,分析此次台风活动期间,中高纬度波动南下,对副热带高压的位置和台风移动路径的影响,做好台风路径预报的服务.同时结合实况资料,分析总结台风移动过程中的特点.     

台风"麦莎"路径东折分析及NWP产品检验

本文利用气象常规资料、NCEP/NCAR 再分析资料和数值预报产品(NWP)资料对0509台风"麦莎"路径两次明显东折(7日11时和8日23时)的原因进行了分析,并对 NWP 产品对麦莎路径的预报结果进行了检验.结果表明麦莎路径主要受西太平洋副热带高压(副高,下同)与西风带环流的影响,两次明显东折与西风带环流的经、纬向调整及副高由块状变为带状有关;"副高南落"指标和广义李雅普诺夫稳定度判据中 J22 的符号分别对应了麦莎的两次明显东折;麦莎中心气压和风力变化与台风的两次明显东折有很好的对应关系.另外,T213 资料的涡度和位温预报场对台风的两次明显东折有一定的指示意义.NWP 产品24 h内对台风路径的预报效果较好,但对台风的第二次东折预报较差.     

快速西行进入南海台风的统计特征

通过对快速西行进入南海的 1 3个台风快速西行期间西风带环流系统、副热带高压活动和台风环境流场的特征以及这些台风进一步的移向、移速进行统计分析 ,结果表明 ,台风快速西行进南海期间西风带的特点是中纬从中亚到东亚有高压脊或以纬向环流为主 ,西风槽偏北 ;西北太平洋副热带高压一直强大且呈带状分布或不断加强与西伸 ,造成副热带高压南侧与台风之间梯度加大 ,使偏东引导气流加强。研究还发现 ,如果台风南北两侧均为偏东环境流场 ,将使台风西行更快。     

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