成都两次暴雨期间风廓线雷达观测的低空风场特征

利用风廓线雷达高时空分辨率资料,对2018年7月成都两次暴雨期间低空风场特征进行分析。结果表明:(1)强降水开始前,中低层(2~4 km)偏南风增强,甚至可以达到急流强度,低空急流指数峰值出现时间较短时强降水开始时间有一定提前量;(2)短时强降水开始于中低层冷空气入侵之时,0.5 km高度附近的风场扰动出现时间较强降水开始时间提前约1 h;(3)两次强降水过程显示,南风增强产生的强垂直切变有利于强降水发生,而北风增强产生的强切变使得降水减弱。     

利用风廓线雷达对广东前汛期短时强降水类暴雨过程低空风场特征的研究

为了更加深入地了解暴雨中尺度系统,利用风廓线雷达资料,对2012—2014年发生在广东前汛期的短时强降水的暴雨过程临近时次的低空急流强度、低空急流高度、低空急流指数以及各层垂直风切变等物理量进行了分析研究。研究结果表明:（1）在广东前汛期,86%的暴雨过程都会有短时强降水的出现; （2）2 km高度以下最大风速呈正态分布特征,主要集中在10~21 m/s之间,60%以上的强降水发生前3小时低空急流便已经存在,且随着强降水的临近,低空急流的比例逐渐增大,超过80%的过程强降水出现时有低空急流相配合; （3）暴雨发生前低空急流强度基本维持,最低高度逐渐降低。强降水出现时次,低空急流表现出逐渐加强的特征,最低高度也明显下降,从而导致低空急流指数I增大; （4）地面到不同等压面的垂直风切变随着高度的增加而逐渐减小,其中强降水发生时地面到925 hPa垂直风切变相较于暴雨发生前有所增大,而地面到850 hPa及700 hPa垂直风切变在强降水发生时则表现出下降的特征; （5）选取暴雨发生前各类物理量的中值作为暴雨发生的阈值,则低空急流强度在13.5 m/s左右,最低高度为1 km左右,低空急流指数I为6×10-3 s-1左右,地面到925 hPa、850 hPa以及700 hPa之间的垂直风切变分别在7.3×10-3 s-1、6×10-3 s-1以及4×10-3 s-1左右。      

中国澳门国际机场重着陆事件的天气背景分析北大核心

对2018年8月28日北京首都航空公司CBJ5759航班在中国澳门国际机场发生重着陆事件分析结果,显示:(1)机场位于低空切变线南侧,低空西南急流与海陆地形辐合作用下形成的暖区局地对流引发分散性短时强降水和弱雷暴;对流北侧突然增强的偏南风使机场跑道附近顺风增加,引发低空风切变;(2)高分辨率数值模拟结果表明低空风切变发生时段内存在西南急流脉动,急流北侧的风场由西南风转为偏南风,促使海陆边界的热力和动力不稳定条件加强,有利于局地对流系统发展和其辐散出流增强,加速边界层内风场变化;(3)当飞机在下降过程中经过对流系统前侧激发的偏南风急流区时,水平风的垂直切变形成的顺风切变大于垂直风变化,增加的顺风使飞机空速减小,导致飞机升力减小并造成重着陆;(4)此次事件中天气系统的变化通过影响对流的发展间接促进低空风切变的发生,因此可在对沿海机场的低空风临近预报时通过加强对海上风场变化的监测来预估一定风险。     

一次全区暴雨中的风廓线雷达特征

利用唐山风廓线雷达提供的风场资料、自动站的1h降水和多普勒天气雷达资料,详细分析了2008年7月15日唐山暴雨天气过程。结果表明：此次暴雨的发生与高低空急流的加强和向下扩展相对应;强降雨发生前西南急流迅速向下传,引发低空东南急流的加强,低空急流的强度与强降水有较好的对应关系,特别是300m超低空急流;低空急流指数增大的程度和降水量的强度存在正相关关系,低空急流指数不仅可以说明低空急流的脉动,而且向地面扩展程度与中小尺度的强降水存在密切的关系,同时对强降水的出现以及雨强的大小有一定的预示作用;低空急流的加强、减弱与雷达回波强度的强、弱有较好的对应关系。     

利用风廓线雷达资料分析一次强降水过程的风垂直切变特征

联合应用5部风廓线雷达、多普勒天气雷达组网观测资料,并结合海河流域自动气象站资料详细分析了2012年7月21日海河流域强降水发生、发展过程中温度场、风场演变特征。结果表明:这次强降水天气具有明显的中尺度天气特征,强降水主要发生在露点温度梯度区内。低空急流指数变化对短时强降水的峰值有一定的指示作用,它的快速增加意味着强降水将要开始。垂直风切变对短时强降水的形成具有参考价值:降水开始前,2 500—3 000 m的风速和风切变首先开始增大,之后大风向1 000 m以下扩散,风切变梯度增强预示着短时强降水开始;1 000—1 500 m风速迅速减小,高层也随之减小,强降水趋于减弱或结束。风廓线雷达中风向风速的变化能够指示系统的过境时间,以上结论对预报强降水的起始及降水的持续时间具有使用价值。     

一次大暴雨过程中低空急流演变与强降水的关系

利用营口新一代天气雷达提供的每6分钟一次的风廓线资料,详细分析了2006年6月29日辽宁省西部大暴雨过程中强降雨时段的低空风场结构。得出:此次强降水天气的发生与低空急流的迅速加强和向下扩展相对应,短时大暴雨发生前低空西南急流提前2小时左右开始有动量快速下传,当20m.s-1的急流中心下传到≤1km超低空,1.2～2.1km低空出现24m.s-1东南急流,有利于产生短时大暴雨;说明低空脉动及向地面扩展程度与短时强降水之间关系密切。低空急流到达测站上空不一定立即产生强降水,有时会滞后1～2个小时,强降水或强烈天气的发生都存在着一定的动量下传,引起低空扰动加强,同时低空急流的强度和伸展高度,以及动量下传的能量大小,都直接制约着强降水的强弱。低空急流指数增大的程度和降水量的强度呈正比关系,低空急流指数不仅可以说明低空急流的脉动以及向地面扩展程度与中小尺度的强降水存在密切的关系,同时对强降水的出现以及雨强的大小有一定的预示作用。     

对流云团与低空急流耦合相互作用研究--云团再生和维持的一种机制

依据低空急流附近风场分布的非均匀特征, 结合对流云团边缘附近呈现的强烈垂直速度梯度分布, 利用动力学诊断分析, 研究了急流低层强烈垂直风切变与对流云团后部强烈垂直速度梯度耦合相互作用产生的对流自激励过程, 揭示了低空急流附近新对流和强降水在云团后部发生、发展的可能机制.     

利用激光雷达判别机场晴空风切变事件成因

为了研究高原机场的风切变特征,本文利用丽江机场自动观测站资料、NCEP再分析资料,引入三维激光雷达测风资料,对丽江机场2020年3月29日晴空低空风切变特征进行分析。结果表明,此次低空风切变过程主要是受地面变压风辐合、地面增温湍流加强以及动量下传等因素共同影响而形成的。风切变发生期间低空环境风场与地面风场变化基本吻合。5次低空风切变事件中,出现在11:00—12:20风向转变期间的2次风切变为侧风风向切变,出现在12:20—14:20风速逐渐增大期间的3次风切变为风速切变。风切变指数均大于0.1(1/s),切变强度为中度及以上,严重影响飞行安全。研究结果为机场风切变的激光测风雷达监测预警提供了参考依据。     

一次暴雨过程诊断分析

2010年7月11—12日南京市江宁全区普降暴雨到大暴雨。本文利用M3、NCEP/NCAR全球资料同化系统再分析等资料(1°×1°)应用环境分析、物理量场诊断,对产生这次暴雨的形势背景、低空急流、水汽输送、垂直运动、中小尺度系统和强对流云团进行分析。结果表明:在有利的环流背景条件下,中小尺度系统发生发展和演变是这次暴雨产生的直接原因;低空急流为这次暴雨提供了大量的水汽和不稳定能量;中低空切变两侧的水平风场切变不仅为暴雨产生提供了强烈的辐合上升运动,同时对水汽的水平辐合和垂直输送非常有利;强对流云团的生成、移动与强降水的发生密切相关。     

夏季风廓线雷达在雷州半岛强对流天气过程的应用

利用风廓线雷达产品、常规气象资料对雷州半岛夏季2次强对流天气个例进行了分析。分析表明,雷雨云团移动到观测点前,低空急流向下不断扩展并增强,产生雷雨大风。暴雨发生发展前后,并不一定有低空急流的配合,风廓线产品风场信息显示出强降水发生前有明显的冷暖平流,上冷下暖的大气层结的建立为降水提供了不稳定条件,有利于强降水的发生发展。     

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.     

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.     

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.     

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