塔克拉玛干沙漠南缘两次极端暴雨的气流模型与水汽输送特征

采用区域自动站逐小时降水观测数据、GPS/MET大气可降水量观测数据和NCEP/NCAR提供的FNL0.25°×0.25°分析数据,通过对比塔克拉玛干沙漠南缘和田地区2次落区接近、强度不同暴雨过程的环流和水汽特征,分析了影响极端暴雨产生的急流和水汽因子特征,结果表明：沙漠南缘暴雨时环流配置符合“三支气流”模型,高空急流、中层偏南风、低层辐合切变的强度与降水量正相关,当高层有极涡直接南伸至中亚发展而成的副热带大槽、中层有气旋前部的强偏南或西南气流、低层有偏东风急流明显西伸与西风急流形成强辐合时有利于出现极端暴雨。沙漠南缘暴雨的水汽源地、输送路径、水汽含量、饱和层厚度与降水量相关,暴雨的水汽源地一般为欧洲和北冰洋,降水区水汽输入以中低层为主,低层比湿大于6 g?kg-1,饱和层位于700 hPa以上;当中高层有来自阿拉伯海、孟加拉湾的由偏南风输送水汽的加入,低层比湿达8 g?kg-1以上、饱和层扩展至750 hPa以下时,可出现极端暴雨。     

青藏高原天气系统对昆仑山北坡一次罕见暴雨过程影响分析

利用南疆塔里木盆地加密自动站数据、常规地面观测和高空探测资料、NCEP 1°×1°再分析资料和欧洲中心ECMWF模式预报初始场资料(空间分辨率0.125°×0.125°),针对2019年6月24-26日发生在昆仑山北坡罕见的暴雨过程,分析了南亚高压、高原低涡和切变线等高原天气系统对昆仑山北坡暴雨的影响。结果表明,暴雨出现在100 hPa南亚高压双体型转为青藏高压单体型的大尺度环流下,500 hPa中低纬呈"两高夹一低"经向环流,西太平洋副热带高压(简称西太副高)不断西伸,外围偏南风盛行,伊朗高压东进加强,两高之间的高原切变线和低涡维持。500 hPa偏西和偏南两条水汽输送路径中,偏南水汽输送持续更长,偏南气流将孟加拉湾水汽输送至青藏高原和昆仑山脉,水汽辐合明显,暴雨出现在中层水汽输送和辐合的叠加区,水汽源地来源于孟加拉湾、里海和咸海,孟加拉湾水汽贡献更大。高空偏南暖湿气流沿低层"冷垫"爬升,有利于动力抬升并加剧垂直方向的冷暖交绥。     

2008年7月14—15日川西暴雨过程的温度层结变化分析

2008年7月14-15日,四川盆地西部"5.12"汶川大地震重灾区在非典型热力条件下出现了一次暴雨天气过程.本文利用常规观测资料和NCEP 1°×1°再分析资料,对其天气形势及温度层结变化特征进行了详细分析.结果表明:(1)暴雨发生在副热带高压不断西伸的环流背景下,低层偏南气流及其风速脉动对暴雨产生具有重要作用.(2)暴雨开始于850hPa θse下降及大气层结为弱稳定的非典型热力条件下,但700 hPa θse突增使得700-500 hPa对流性不稳定层建立,从而利于对流运动发展;暴雨过程后期,因850 hPa和700 hPa θse急剧下降和大气层结稳定度增大,对流上升受到明显抑制.(3)低层θse锋区和水汽辐合对强降水具有指示意义,暴雨落区位于850 hPa和700 hPa θse锋区前沿,降水中心位于水汽汇合中心附近.     

西太平洋副热带高压西伸过程的合成特征及其可能机理

利用1970~2000年6月NCEP/NCAR逐日再分析资料,根据(20~30°N,115~125°E)区域内500 hPa的涡度变化选取了12次西太平洋副热带高压西伸过程,合成了西太平洋副热带高压西伸过程中对流层高层和低层的环流演变特征。结果表明,(20~30°N,115~125°E)区域内500 hPa负涡度的增加对应着西太平洋副热带高压的西伸过程。在副热带高压西伸过程中,对流层高层南亚高压的中心位置虽然稳定少动,但是由于日本东南部反气旋的西移,使得南亚高压东侧的脊明显地加强东伸,这可能对对流层中层副热带高压的西伸具有重要作用。在对流层低层,源于澳大利亚北侧的气流越过赤道向北传播,经由南海季风槽后到达我国江淮流域,从而影响副热带高压西侧的偏南气流。     

1981—2000年四川夏季暴雨大尺度环流背景特征

利用四川盆地及周边地区1981—2000年逐日降雨量资料和ECMWF逐日4次再分析资料,合成分析近20 a发生在四川夏季的22次典型暴雨过程的大尺度环流背景特征。结果表明,四川夏季暴雨的发生具有显著的轴向分布性和区域移动性特征。西伸的西太平洋副热带高压、北上东进的伊朗高压及高原东部的弱高压、活跃的孟加拉低压和影响四川北部的中高纬长波分裂的低压槽共同作用形成了四川暴雨发生阶段的特殊的＂鞍＂型大尺度环流背景。在＂鞍＂型大尺度环流背景下,有利于西南支孟加拉湾水汽和南海水汽输送在四川盆地形成低层辐合,同时在高层形成西南—东北的轴向急流辐合带,水汽输送散度负的大值区即为暴雨发生的主要落区。此外,四川北部在两高压相夹下,有利于高纬度大尺度的两高一脊环流调整产生的弱槽携带冷空气影响四川盆地,形成高层弱冷干与低层强暖湿的强垂直对流不稳定。对比40 a四川夏季平均环流可知,导致四川夏季暴雨发生的＂鞍＂型大尺度环流背景特征极为显著,具体表现为：西太平洋副热带高压西伸到110°E附近,青藏高原西侧伊朗高压偏北、青藏高原高层南压高压偏东,而高原低层有弱高压,四川北部冷槽显著偏南。     

Comparison of two types of persistent heavy rainfall events during sixteen warm seasons in the Sichuan Basin

本文筛选出四川盆地西部(盆西型)和盆地东部(盆东型)持续性暴雨个例,深入对比两类持续性暴雨的大气环流特征和直接造成持续性暴雨的西南低涡维持的机理.四川盆地的短波槽和西太平洋副热带高压的配置有利于持续性暴雨的维持,盆东型的降水强度较盆西型个例强,高空急流位置偏南,南亚高压的强度更强,高层辐散更强,对流层中层副热带高压偏东偏南.盆西型的水汽输送主要来自南海,而盆东型的水汽输送主要来自南海和孟加拉湾.合成涡度收支的结果表明散度项是两类持续暴雨中西南涡维持的主要原因,但盆西型中,垂直平流的作用更强.     

2008年9月四川一次持续暴雨过程触发及维持特征

利用NCEP1°×1°6h再分析资料和常规观测资料,对2008年9月22—27日四川盆地持续性暴雨过程进行了诊断分析。结果表明:副热带高压、东北冷涡、低空切变、青藏高原东部高空槽以及台风是影响此次暴雨过程的主要天气系统;来源于南海及孟加拉湾的低层偏南气流提供了稳定的水汽输送;暴雨前期850hPaθse场呈典型的"Ω"形分布;强烈的上升运动触发不稳定能量释放,有利于强降水天气的发生发展。     

四川盆地东北部2004年"9.3"大暴雨天气过程浅析

本文对2004年9月3～5日发生在四川盆地东北部一次区域性暴雨天气过程进行了综合分析,分析认为造成"9.3"暴雨的主要原因有以下几点:(1)西太平洋副热带高压与台风"桑达"共同作用下在四川盆地东北部形成了强阻塞气流;(2)云贵高原到四川盆地的西南低空急流将南方高温、高湿空气源源不断地向输送四川盆地,为四川盆地东北部暴雨提供了充沛的水汽;(3)500hPa四川盆地北侧的高空切变和700hPa西南低涡是"9.3"暴雨的主要影响系统.     

西风和印度季风协同作用对塔里木盆地极端暴雨影响的初步分析

针对2021年6月14—17日塔里木盆地极端暴雨过程(最大日雨量106.6 mm,新疆特大暴雨),选取盆地自动气象站降水资料、GRAPES-GFS分析场和ERA5(0.25°×0.25°、逐1 h)再分析资料,利用WRF-v4.2.2模式数值模拟和HYSPLIT-v4.0水汽后向轨迹模式,分析此次暴雨在“东高西低”环流背景和“两高夹一低”形势下西风和印度季风协同作用机制。水汽源于黑海-里海-咸海、印度洋北部、中亚地区和北疆,偏西、偏南和偏东3条路径水汽输送发生在850～300 hPa、500～400 hPa和650 hPa以下低层。印度季风环流对印度洋水汽向塔里木盆地输送起关键作用,阐明了印度季风携印度洋水汽北上流入盆地的物理过程,“南风窗”水汽输送消失是西风和印度季风协同作用的重要体现。     

龙门山北段北川暴雨天气成因浅析

利用NECP FNL全球再分析资料和四川省区域自动站降水资料,选取北川羌族自治县2016～2019年8次典型暴雨天气过程,对暴雨过程的环流背景、水汽条件、动力条件、热力条件进行诊断分析,结果表明：（1）北川以地形暴雨为主,多夜雨,短时强降水特征显著。（2）暴雨环流形势以“东高西低”和“两高切变”型为主,低涡、短波槽和副热带高压相互作用,近地面川东及重庆南部常维持热低压,与西北路径经青藏高原入侵的冷空气交汇对峙。（3）对于全域性暴雨,850hPa低空急流多偏南,轴中心位于106°E,若以暖平流为主,则降雨量级大;对于区域性暴雨,850hPa低空急流不明显,700hPa急流位置偏北,强度偏弱,冷暖平流相当。（4）北川常处于水汽通量辐合中心,尤其是大暴雨和特大暴雨发生时北川地区垂直速度和垂直螺旋度均明显增大;同时,105°～110°E低空表现为高温高湿,而高空表现为干冷位势不稳定,雨区位于能量锋区边缘。     

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。     

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.     

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