黑龙江低温阴雨南方持续高温——2009年7月——

2009年7月主要气候特点:气温较常年同期偏高,降水较常年同期偏少.全国平均气温为22.0℃,较常年同期偏高0.6℃.西藏7月区域平均气温为1951年以来历史同期最高值,云南为次高值.全国平均降水量为109.6mm,较常年同期偏少6.3mm.青海7月区域平均降水量为1951年以来历史同期最多值. 月内我国主要天气气候事件有:黑龙江低温阴雨天气持续;热带风暴苏迪罗、台风莫拉菲先后在我国华南登陆;长江中下游及其以南地区出现持续高温天气;西北、华北等地气象干旱缓解,内蒙古中部气象干旱持续;部分地区遭受暴雨洪涝灾害;24个省(市、区)遭受强对流天气袭击.     

2017年中国气候主要特征及主要天气气候事件

2017年,我国气候属于正常年景,气候灾害偏轻。全国平均气温10.39℃,较常年偏高0.84℃,7和9月为1951年以来同期最高,全国有113站日最高气温突破历史极值。全国平均降水量641.3 mm,比常年偏多1.8%。全国降水冬季偏少,夏季偏多,春、秋季接近常年。全国31站日降水量突破历史极值,其中多站出现在暴雨少发地区;47站连续降水量突破历史极值。华南前汛期和西南雨季雨量分别偏少9%、4%;梅雨季雨量偏多6%,但较2015和2016年明显偏少;华北雨季偏短10 d,雨量偏少28%;华西秋雨雨量偏多49%,为1984年来最多;东北雨季短,雨量偏少14%。暴雨过程频繁、重叠度高、极端性强,暴雨洪涝损失偏重;登陆台风多、时间集中,登陆点重叠;高温日数多,北方高温出现早、南方高温强度大。其他灾害如干旱、低温冷冻、雪灾、春季沙尘和霾天气影响偏轻。     

暴雨台风局地致灾东北低温江南炎热--2009年7月--

2009年7月,我国气温较常年同期偏高,降水较常年同期偏少.全国平均气温为22.0℃,较常年同期偏高0.6℃.其中,西藏7月区域平均气温为1951年以来历史同期最高值,云南为次高值.全国平均降水量为109.6mm,较常年同期偏少6.3mm.但是本月,我国局地暴雨洪涝灾害多发,其中四川、湖南、山东等地的部分地区受灾严重,且青海7月区域平均降水量为1951年以来历史同期最多值.月内我国主要天气气候事件有:黑龙江低温阴雨天气持续;热带风暴苏迪罗、台风莫拉菲先后在我国华南登陆;长江中下游及其以南地区出现持续高温天气;我国部分地区遭受暴雨洪涝灾害;全国24个省(市、区)遭受强对流天气袭击.     

2015年中国气候主要特征及主要天气气候事件

2015年,全国平均气温较常年偏高0.9℃,为1961年以来最高值,华南年平均气温为历史最高,东北、华北和西北为次高值;四季气温均偏高。全国平均降水量648.8 mm,较常年偏多3%;长江中下游大部及广西、新疆等地降水量偏多,西南西部及海南、辽宁等地降水偏少;冬、夏季降水偏少,春季接近常年同期,秋季偏多明显。2015年,南方暴雨过程多,夏季出现南涝北旱,上海、南京等多个城市内涝重;华北、西北东部及辽宁夏秋连旱影响较重;11月江南、华南出现强降雨,秋汛明显;盛夏,新疆出现持续高温天气,但长江中下游地区连续两年出现凉夏;登陆台风偏少,但登陆台风强度强,"彩虹"致灾重。2015年,我国共出现11次大范围、持续性霾过程,11-12月我国中东部雾-霾持续时间长、范围广、污染程度重,11月27日至12月1日华北、黄淮等地的雾-霾天气过程为2015年最严重的一次。     

2023年中国气候异常特征及主要天气气候事件

2023年,我国气候主要表现为暖干的特征,全国平均气温10.71℃,较1991—2020年气候平均偏高0.82℃,为1951年以来最暖;全国平均降水量615.0 mm,较常年偏少3.9%,为2012年以来第二少。四季气温均较常年同期偏高,其中夏、秋季分别为历史同期次高和最高;除秋季降水偏多外,其余三季降水均偏少。汛期(5—9月),全国平均降水量较常年同期偏少4.3%,为2012年以来第二少,我国中东部降水总体呈“中间多南北少”的分布。2023年,我国区域性气象干旱多发,西南地区遭遇冬春连旱;春季北方沙尘天气过程偏多;夏季前期,华北和黄淮遭受1961年以来最强高温过程;7月底至8月初,受台风杜苏芮影响,京津冀地区发生历史罕见极端强降水过程,华北地区出现“旱涝急转”;华西秋雨开始早、结束晚、雨量多;1月中旬发生年内最强寒潮过程;秋末冬初冷空气频繁入侵,12月华北和黄淮等地降雪日数偏多、积雪偏深。     

2019年中国气候主要特征及主要天气气候事件

2019年我国气候总体呈现暖湿特征。全国年平均气温较常年同期偏高0.79℃,为1951年以来连续第五暖年,四季气温均偏高,春、秋季明显偏暖;年降水量为645.5 mm,较常年同期偏多2.5%,冬、春、夏季降水偏多,秋季偏少。华南前汛期开始早、结束晚,为1961年以来最长前汛期,雨量为1961年以来次多;西南雨季开始和结束均偏晚,雨量偏少;入梅晚、出梅早,梅雨量偏少;华北雨季开始晚,结束与常年一致,雨量偏少;东北雨季开始早、结束晚,雨量偏多;华西秋雨开始早、结束晚,雨量偏多。2019年,台风生成多,登陆强度总体偏弱,仅台风利奇马灾损重;暴雨洪涝、干旱、强对流、低温冷冻害和雪灾、沙尘暴等气象灾害均偏轻。     

2016年中国气候主要特征及主要天气气候事件

2016年,全国气候异常,极端天气气候事件多,暴雨洪涝、台风和风雹等气象灾害较突出,气候年景差。全国平均气温较常年偏高0.8℃,为1951年以来第三高;四季气温均偏高,其中,夏季气温为1961年以来同期最高。四季降水量均偏多,冬、秋季分别为1961年以来同期最多。全国平均年降水量730.0 mm,较常年偏多16%,为1951年以来最多。华南前汛期和西南雨季开始早;入梅早、出梅晚,梅雨期长,雨量多;华北雨季短,雨量多;华西秋雨短,雨量少。2016年,全国暴雨过程多,南北洪涝并发。登陆台风数量多、平均强度强。强对流天气多,损失偏重,北方风雹灾害突出。气温波动大,夏季高温影响范围广。秋、冬京津冀及周边地区霾天气频繁。其他灾害如干旱、低温冷冻害、雪灾和春季沙尘影响均偏轻。     

气候特点概述

正2018年4—6月,江西省总的气候特点是:全省气温较常年异常偏高,降水偏少;日照时数偏多。主要天气气候事件有高温天气出现时间早,强度强;台风出现时间偏早;汛前期部分地区降水持续偏少。1气候概况1.1气温。4—6月全省平均气温23.7℃,较常年同期平均偏高1.5℃,为历史同期第一。4、5、6月全省平均气温分别为19.7、25.3、     

2019年国内十大天气气候事件

1-2月南方地区出现罕见阴雨寡照天气2019年1-2月,江南大部、华南北部等地降水量较常年同期普遍偏多五成至1倍,局地偏多2倍,浙江、江西降水量均为1961年以来历史同期第二多;江淮南部、江南、华南北部及贵州东南部降水日数较常年同期偏多8?12天,日照时数偏少五成以上,苏皖鄂浙沪5省(市)日照时数均为1961年以来历史同期最少。     

2022年夏季四川省区域性高温和干旱过程监测评估

基于1961～2022年四川省156个国家气象观测站逐日降水及平均气温资料,对2022年四川省高温和干旱开展异常气候特征监测分析和区域性过程定量化综合评价。结果表明：（1）2022年夏季四川省平均气温较常年同期偏高2.2℃,为1961年以来历史同期最高,全省平均降水量偏少35%,为1961年以来历史同期最少。（2）2022年夏季共出现4段区域性高温过程,其中7月28日～8月28日的区域高温事件综合强度为1961年有完整气象观测记录以来最强;年度高温过程累积强度位列1961年以来历史第4位,弱于2006年。（3）2022年夏季四川省共出现3段区域性干旱过程,干旱范围广,中旱以上天数多,综合站次百分比位列历史同期最大。其中8月7～26日的区域性干旱过程综合强度等级为“强”,排历史第24位,未能进入历史前10,但超过2006年6月10日～7月9日区域性干旱过程的综合强度;从影响范围看,此次过程的干旱站点数量排历史同期第2位,范围均比2006年夏季的两次区域性干旱过程广。     

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.