呼和浩特市重点区域的雷电预警方法初讨

通过对重点区域中国航天科工集团第六研究院附近地区大气电场的观测分析,重点分析有闪电发生时,雷暴天气过程大气电场及大气电场变化率的特征。通过对多个近距离雷暴活动的发生、发展及消散过程的分析,得出雷暴天气下的大气电场特征及变化规律;找出了针对航天六院附近地区的雷电预警的电场强度和变化率的雷电预警指标,用电场幅值阈值和差分阈值两种方法并结合闪电定位资料建立了预警模型为内蒙古地区针对重点区域有针对性的开展雷电预警预报工作打下基础。     

地面大气电场资料在强对流天气预报中的应用

利用大气电场仪对2008年6～10月天津地面大气电场变化进行连续监测。讨论晴空、稳定型降水、飑线和暴雨天气下地面大气电场强度特点,结合新一代多普勒天气雷达资料和闪电定位资料,对2008年9月4日飑线过程和2008年7月14日暴雨过程进行分析。结果发现:大气电场仪曲线在雷暴发生前15～50min剧烈变化,在强对流天气的雷电监测中有明显的指示作用。结合雷达资料和闪电定位仪资料能够提高雷电预警和短时临近预报的准确率,多站点的大气电场仪数据能够扩大雷暴监测范围并且判断雷暴云移动路径。     

青岛地区电场仪资料在一次雷暴天气过程中的应用分析

利用大气电场仪资料,结合天气实况、天气雷达和闪电定位仪等资料,对2013年7月1日青岛地区一次雷暴天气过程进行了综合分析。结果表明,当地面电场强度曲线在几十到几百毫秒量级内发生极性反转,变化幅度在2 kV/m以上,且完成后电场值会迅速回到极性反转前的电场值附近时,可以判断为发生了一次地闪。单站电场强度曲线可以反映出雷暴云与测站间距离的变化,闪电发生前电场强度的增加可为雷电预警提供时间。大气电场仪组网监测资料可以对雷暴云的移动路径做出判断。综合分析大气电场仪组网数据、天气雷达以及闪电定位资料等多源资料,可以更好地判断雷暴云的活动状况,提高雷电的预警准确率和时间提前量。     

成都地区一次雷暴过程地面电场演变特征

本文根据2010年9月17日成都地区一次强雷暴过程中大气电场仪和闪电定位资料,分析雷暴起始、发展、消亡阶段地面电场演变特征,通过对比地闪监测网资料发现地面电场仪能够准确反映闪电活动规律。将地面电场仪与闪电定位资料相结合,可大大提高雷电预警的准确性,同时实现面向重点区域的雷电短临预警,该预警模式具有时效性高、准确率高等特点,同时也能够有效弥补现有雷电预警方法的不足。同时为四川省强对流天气系统的演变和分类检测和临近预报提供参考。      

电场时序差分在雷电预警中的有效性分析

目前国内应用地面大气电场仪进行雷电预警一般使用阈值法,这一方法直接使用电场观测值的多重阈值来进行预警,在实际应用中容易出现误报和漏报的现象.本文通过对晴天大气电场和雷暴天气大气电场分析了大气电场时序差分的基本特征,并结合SAFIR3000闪电定位观测数据,对典型雷暴过程下的电场时序差分进行了深入分析.本文还选取了有雷暴发生和无雷暴发生的预警应用个例进行了分析,分析结果表明电场时序差分的应用能在一定程度上提高雷电预警的效率.     

大气电场资料在黑龙江雷电监测预警中的应用

文章利用大气电场仪资料,结合常规气象资料、黑龙江省闪电定位系统监测资料和雷达资料分析了哈尔滨市2014年5月18日的一次雷暴天气过程。结果表明:这次由午后强对流活动引发的雷暴过程分布不均,具有局地性、突发性。负地闪所占比例较高,平均雷电流强度为中等,其中首次地闪的雷电流强度最大;大气电场能够较好地反映带电云的产生、聚集、消亡过程;此次雷暴过程中大气电场仪曲线在雷暴发生前15min剧烈快变抖动,对雷电监测预警具有明显的指示作用。大气电场仪资料结合雷达资料和闪电定位仪资料能够提高雷电预报的准确率。     

近地面大气电场数据EMD方法分析

将经验模态分解(EMD)方法应用于2009年夏季近地面大气电场资料的分析,分解出雷暴和晴天天气大气电场的不同时间尺度变化分量,并提取两类天气状态下的大气电场振荡特征进行对比.结果表明:EMD方法适合应用于近地面大气电场资料的分析,雷暴天气大气电场以晴天天气大气电场作为背景场,包含了周期振荡平稳的晴天天气成分;晴天天气大气电场能量集中于长周期振荡分量,而雷暴电场能量主要是集中于短周期振荡分量.发生雷暴前,IMF(本征模态函数)1分量的中心频率会出现明显跳跃或其对应幅度明显增大的现象.利用这些特征对随机选出的38次过程进行预报效果检验,得到预警的探测概率为84.2％.     

高原地区雷暴过程地面电场变化特征分析

高原地区是我国雷暴天气多发区之一。通过对大气电场仪所测得雷电过程地面电场变化特征的分析有助于了解这一地区的雷暴特征,对认识该地区雷暴过程特征有一定的参考价值。对雷暴过程初期的地面电场波形变化的曲线拟合,总结出了共同的特征,为地面电场资料在雷电预警预报中的应用提供了参考价值。对雷暴过程地面电场资料的特征分析以及预报方面的研究都是很有现实意义的。     

黔中地区大气平均电场特征分析及小波技术的应用

该文通过统计黔中地区(贵阳东山和白云、安顺)的晴天和雷暴天气的大气电场资料,分析两种不同天气条件下黔中地区大气平均电场变化特征,得出以下结论:黔中晴天、雷暴天气的大气电场平均值分别为0.221 kV/m、3.701 kV/m;利用假设检验法确定雷暴预警的阈值,雷暴天气阈值的预报准确率为56%,漏报率为44%;利用小波技术得到的采用频率为1Hz时的功率谱集中在8×10-3Hz以下。     

基于大气电场资料的雷电临近预警研究

通过分析深圳地区2012年6—9月17次雷暴过程的电场观测资料,并结合广东省闪电定位资料,发现当雷暴云移近电场仪测站时,在测站的防护区内(距测站10 km半径范围内),闪电发生前的电场幅值快速增加且伴随有快变抖动的现象,并且快变抖动和闪电的发生具有0-1化对应关系,即当有电场的快变抖动出现的情况下,电场达到一定阈值并维持一段时间后,防护区内发生闪电的可能性很大.因此根据大气电场的波形特征,提取出与闪电相关性较高的因子,利用多元回归技术建立一套预报方程,根据该预报方程得出最佳预警参数.结果表明:当大气电场阈值达到0.86 kV/m,且在10.73 min内电场能维持在阈值上,并伴随有电场的抖动时,在防护区内发生闪电的可能性很大,预警准确率达53%.     

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.     

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     

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.     

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;