低纬高原一次飑线过程的地闪演变特征分析

利用雷电定位资料、多普勒雷达资料和FY-2E红外卫星资料,分析了滇西南一次典型飑线过程的地闪变化特征。结果表明,这是一次由切变线云带内的对流单体与台风外围对流单体合并形成的典型飑线过程。在飑线发展初期,负地闪占主导地位,地闪频数在波动中缓慢增加;在飑线成熟阶段,地闪频数较高,负地闪频数达到最大峰值前10～15min,正地闪出现最大峰值;在飑线减弱阶段,地闪频数急速下降,正地闪所占比例急剧增加,当正地闪所占比例超过地闪总数的8%以上时,地闪活动开始呈减弱特征。负地闪主要发生在强对流区(>40dBz),对应着径向速度场上的辐合区,密集的正地闪发生在飑线成熟阶段,对应着辐合区附近>40dBz的强回波区域,稀疏的正地闪发生在强回波外围的云砧或稳定性降水部位。在飑线整个发展阶段,-10℃,-20℃层高度上雷达回波强度的每一次跳跃变化都对应着地闪频数的跳跃发展,且-10℃和-20℃层高度上雷达回波强度总在地闪频数变化之前6～30min。负地闪集中出现在-92～-90℃和-76～-74℃的云区,而正地闪集中发生在-90～-60℃的云区。     

山东一次飑线过程的闪电特征和大风形成机制分析

利用闪电定位资料、多普勒雷达资料和卫星资料分析2016年6月13日发生在山东的一次飑线天气过程的地闪变化特征和大风形成机制,结果表明:本次过程发生在东北冷涡影响背景下,大气层结上冷下暖,随着层结不稳定性逐渐增强和不稳定能量的积蓄,在较强的深厚垂直风切变环境下触发强对流风暴进而组织成飑线。整个飑线过程中负地闪占主导地位,约占地闪总数的89.25%;在飑线的成熟阶段,负地闪频数达到最大峰值后的5～10 min,正地闪也出现最大峰值;负地闪主要出现在回波发展至成熟阶段,多发生在45 dBZ的强回波区域中;正地闪主要出现在飑线的成熟至消散阶段;当TBB达到最低值时,飑线达到最强盛阶段,地闪频数达顶峰。利用WINDEX计算的地面最大风速的潜势与观测的地面极大风速较接近;地面大风阶段对应着剧烈的闪电活动,冰雹大风等灾害性天气的最强时刻与正地闪的峰值出现时间较为一致。     

一次飑线过程的闪电活动特征

结合地闪定位资料和TRMM卫星LIS观测的总闪电资料对一次飑线过程闪电活动进行分析,结果如下:这次飑线过程的正地闪超过了负地闪,占地闪的54.7%.在系统发展的初始阶段全部为正地闪;在系统的快速发展阶段地闪频数明显增大,正地闪比例很高,均在75%以上.在系统成熟至减弱阶段,地闪频数开始下降,而正地闪比例下降,负地闪的比例却越来越大,并占据支配地位.正地闪发生在线对流区(即强回波区内或附近),负地闪发生在层状云区.正地闪并不对应于主上升气流区而是紧邻上升气流区的后部.该雷暴云内闪电活动非常频繁,云地闪比例高达26.1:1.降雹和地面大风区位于正地闪密集区内,地闪频数峰值对应于地面大风阶段.     

华北一次中尺度对流系统中的闪电活动特征及其与雷暴动力过程的关系研究

利用地面地闪定位资料、多普勒天气雷达和常规气象资料, 分析了一次具有前部对流线和后部大范围层状云降水(LLTS)的典型中尺度对流系统(MCS)的闪电活动演变特征。整个MCS生命史中负地闪占主导地位, 正地闪则表现不活跃。观测得到MCS消散阶段云闪与地闪的比例为2∶1, 地闪主要分布在地面相对位温和对流不稳定能量均达到高值的区域; 负地闪主要密集地分布在大于40 dBZ的回波范围内; 正地闪则稀疏地分布在30～40 dBZ的回波范围内。在低于-40℃的温度区域内地闪分布较多, 而密集的地闪分布在温度梯度大的区域内。结合单多普勒雷达的水平风场反演, 发现地闪集中出现在气流表现为气旋性切变或水平风呈现切变的区域。该区域与MCS的强回波区相对应, 并且地闪易发生在上升气流达到最大并开始出现下沉气流的阶段。     

一次中尺度雷暴大风过程的闪电特征分析

2005年6月21日山东北部出现了一次中尺度对流系统,并伴有地面灾害性大风。作者综合闪电定位资料、雷达和卫星资料详细分析了这次中尺度对流系统的闪电活动特征,结果表明,在系统初始发展阶段地闪频数快速增加.成熟阶段地闪频数一直较高,且都在20次/5 min以上,在减弱消散阶段,正地闪比例超过负地闪。负地闪多发生在对流降水区,而正地闪则对应于稳定的层状云降水区。逐小时地闪次数峰值滞后于云顶最低温度峰值,小于-50℃的冷云覆盖面积峰值滞后于地闪次数峰值。这次地面大风主要是较强下沉气流底部外流造成的,利用WINDEX计算的地面最大风速潜势与观测的阵风值非常接近。地面大风阶段对应着剧烈的闪电活动,地闪频数的跃增略提前于地面强风发生时间,这对灾害性天气过程的监测预警具有一定的参考价值。     

湖北省一次强雹暴闪电和雷达回波特征分析

利用湖北省闪电定位系统监测资料与武汉市多普勒天气雷达资料同步叠加,对2010年4月12日湖北省东南部地区一次强对流过程的两个致灾雹暴单体进行分析。结果表明：雹暴生消的不同阶段,正地闪和负地闪频数及在雷达回波中的分布呈不同的变化特征,通过地闪频次和地闪在雷达回波中位置的变化可以识别雹暴生命史演变的不同阶段。雹暴Ⅰ产生小冰雹,是一个普通对流单体,闪电以负地闪为主,闪电频率最大为15次·（6 min）－1;正地闪落在风暴发展和消亡阶段,负地闪主要落在35—55 dBz强回波边缘,零星正地闪分布在强回波周围层状云中,雹暴移动路径前侧的负地闪对雹暴移动有一定的指示意义。雹暴Ⅱ是一个典型超级单体,产生直径超过3 cm的大冰雹,闪电频率最大为44次·（6 min）－1,风暴成熟阶段正地闪活跃,16—17时正地闪频繁出现时间与大冰雹持续时间一致;负地闪与25—55 dBz强回波区域吻合较好,正地闪分布在强回波30—55 dBz中心及层状云边缘。对比地闪频数和雹暴成熟阶段的回波强度可以发现,降雹均出现在风暴的成熟阶段,小冰雹发生时地闪频数下降幅度较小,大冰雹发生时地闪频数下降幅度较大,且正地闪比例明显增大。     

华北一次强对流天气系统的地闪时空演变特征分析

利用地面雷电探测网,多普勒天气雷达和常规天气资料,分析了2005年8月1日发生在山东北部的一次具有前部对流线,后部大范围层状云降水(LLTS)的典型中尺度对流系统(MCS)的闪电活动演变特征。结果表明:整个过程中负地闪占主导地位,最高频数达到260次/5min;与负地闪比较,正地闪呈现不活跃状态。负地闪主要落在>40 dBz的强回波区内部及其边缘区域,而正地闪则分布在前部云砧和后部层状云降水区内。对地闪位置与回波强度的进一步对比分析发现,45~55 dBz的回波是最有利于地闪发生的区域,回波强度低于这一区域,随着回波强度的增大,地闪活动呈递增趋势,地闪频数在50~55 dBz的回波区域内达到峰值,>55 dBz的回波区域内地闪频数明显降低。     

一次冷涡天气系统中雹暴过程的地闪特征分析

利用地面雷电定位系统、多普勒雷达和卫星观测资料,对2002年6月1日山东地区冷涡天气系统下的3个雹暴过程的地闪特征进行了详细分析,结果表明,在同样的天气条件下,产生冰雹的3个强雷暴在不同的发展阶段表现出明显不同的地闪分布特征。通过云图和地闪资料的综合分析发现,地闪主要出现在云顶亮温低于-50℃的云区内,其中负地闪分布比较集中,且偏向云顶亮温水平梯度大的一边,而正地闪则分布比较分散。地闪主要发生在大于40 dBz的区域内,负地闪通常簇集在强回波区(大于50 dBz)或邻近区域,有时密集的正地闪也出现在强回波区或临近区域,但稀疏的正地闪通常发生在强回波外围10-30 dBz的范围内,属于稳定性降水区。结合地面降雹观测资料发现降雹发生在正地闪比较活跃的阶段,正地闪频数峰值略微超前降雹时刻。比较密集的正地闪发生,通常预示着强对流天气(如冰雹、大风等)的发生。强雷暴在发展旺盛阶段通常表现的低地闪频数,可能是由“电荷抬升机制”造成的。     

湖北省两类强对流天气云地闪特征及其环境条件对比研究

选取30次短时强降水天气和10次冰雹、雷雨大风天气个例,对云地闪特征及其环境条件进行对比分析。结果表明:以降水为主的强对流天气,负地闪占绝大多数,闪电频数较多,其10分钟云地闪频数过程最大值在50次以上,云地闪与雷达强回波区吻合得较好,且分布比较集中,而以冰雹、雷雨大风为主的强对流天气,正地闪与负地闪频次相当,甚至超过负地闪,闪电频数较少,云地闪并非分布在雷达强回波区,而是零散地分布在冰雹回波下风方向的云砧处。两者在环境条件上也存在差别,以冰雹、雷雨大风为主的强对流天气较之以降水为主的强对流天气,具有较低的整层比湿,较厚的零度以下层结厚度(冷云厚度)以及较大的垂直风切变。     

南京一次雷雨的闪电特征与多尺度资料分析

为探究闪电与其他气象要素之间的关系及可预报性,本文利用探空资料、多普勒天气雷达资料、闪电定位仪资料、卫星云图资料和地面自动气象站资料,对2009年7月7日南京雷雨天气进行多尺度分析.结果表明:暴雨过程中负地闪始终占较大比例,正地闪的数目在雷暴消散阶段稍有增长;地闪频数与地面风速时序变化呈现很好的一致性;雷暴来临前风矢位温特征表明对流云发展高度较高,对流层顶的薄层超低温为强对流发生提供了热力不稳定的先兆信息,整层大气深厚的顺时针垂直切变及中低层偏南风为强对流天气提供了有利的动力和水汽条件,为雷暴潜势预报提供了依据;地闪分布与雷达回波顶高、强的风切变区域以及暴雨落区有明显对应关系;负地闪密集区位于雷达强回波核前方强度为40 ～45dBz区域处,对于回波的未来移向有指示作用.     

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.     

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.     

Information for Authors

正AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography.     

Connections between the Eurasian teleconnection and concurrent variation of upper-level jets over East Asia

The variation of the East Asian jet stream(EAJS) associated with the Eurasian(EU) teleconnection pattern is investigated using 60-yr NCEP–NCAR daily reanalysis data over the period 1951–2010. The EAJS consists of three components: the polar front jet(PFJ); the plateau subtropical jet(PSJ); and the ocean subtropical jet(OSJ). Of these three jets over East Asia,the EU pattern exhibits a significant influence on the PFJ and OSJ. There is a simultaneous negative correlation between the EU pattern and the PFJ. A significant positive correlation is found between the EU pattern and the OSJ when the EU pattern leads the OSJ by about 5 days. There is no obvious correlation between the EU pattern and the PSJ. The positive EU phase is accompanied by a weakened and poleward-shifted PFJ, which coincides with an intensified OSJ. A possible mechanism for the variation of the EAJS during different EU phases is explored via analyzing the effects of 10-day high-and low-frequency eddy forcing. The zonal wind tendency due to high-frequency eddy forcing contributes to the simultaneous negative correlation between the EU pattern and the PFJ, as well as the northward/southward shift of the PFJ. High- and low-frequency eddy forcing are both responsible for the positive correlation between the EU pattern and the OSJ, but only high-frequency eddy forcing contributes to the lagged variation of the OSJ relative to the EU pattern. The negative correlation between the EU pattern and winter temperature and precipitation anomalies in China is maintained only when the PFJ and OSJ are out of phase with each other. Thus, the EAJS plays an important role in transmitting the EU signal to winter temperature and precipitation anomalies in China.     

THE INFLUENCES OF SSTA OVER KUROSHIO AND ITS EXTENSION ON RAINFALL IN NORTHEAST CHINA UNDER THE BACKGROUND OF TWO DIFFERENT EL NIO CASES

By using the gauged rainfall in 160 stations within mainland China and the NCEP/NCAR reanalysis data, the impacts of anomalous SST in Kuroshio and its extension on precipitation in Northeast China were investigated. The results show that a difference in the meridional circulation such as the East Asia/Pacific teleconnection pattern(EAP)may be responsible for the difference in rainfall between 1998 and 2010. In comparison with 1998, the anomalous meridional circulation pattern in 2010 shifted northeastward, and then the western subtropical high, the mid-latitudinal trough and the northeastern Asia blocking high also shifted northeastward, causing intensified convergence of the cold and warm air masses at the southern region and thus more rainfall in the southwestern region and less in the northwestern region. In 1998, the anomalous cyclone, one component of the meridional pattern, located at the Songhuajiang-Nengjiang River basin, resulted in more rainfall in the majority of the area. The results of observation and the model show that the difference in SSTA in Kuroshio and its extension under the background of different El Ni觡o events is the key point:(1) The anomalous warmth moved westward from the mid-Pacific to the east of the Philippine Sea during the central event, which led the heat resources shifting to the northeast in 2010; subsequently, a shift occurred to the north of the anomalous ascent and decent, followed by a warm SSTA in the region of Kuroshio's extension in 2010 and Kuroshio in 1998.(2) The warm SSTA in the Kuroshio extension causing the Rossby wave activity flux strengthened in 2010, and then the westerly jet shifted northward and extended eastward. A warm SSTA in Kuroshio and cold SSTA in its extension in 1998 caused the westerly jet to shift southward and weaken. As a result,the anomalous anticyclone and cyclone shifted northward in 2010, and the blocking high also shifted northward.     

<p>PARTITION OF SEASON BASED ON MULTIELEMENTS AND THE DECADAL CHANGE OF SEASON DURATION IN CHINA</p>

<p>Using the multielements similarity measurement method and 1950–C2017 NCEP/NCAR gridded daily reanalysis datasets, we analyzed season duration in China during 1950–C2016, and we defined the element with maximum absolute sensitivity as the key impact element at each point using the sensitivity analysis method. The decadal change of season duration and its key impact element before and after 1980 were studied. The results indicated obvious meridional and zonal differences in the distribution of season duration for the 67-year average, and that the key impact element has the same distribution characteristics as season duration. In addition, complementary relationships were found between the durations of spring and summer, autumn and winter, and the cold and warm seasons. Of those, the complementary relationship between the durations of spring and summer was strongest and the regions of complementarity were numerous. The complementary regions of autumn and winter durations were found mainly in western China. In the cold and warm seasons, the complementary regions were widespread and the complementary relationship was generally weak. Comparison of the periods before and after 1980 revealed an east–Cwest difference in the interdecadal variation of season duration. Interdecadal variation in spring and summer was found concentrated in northern and western regions, while that in autumn and winter was concentrated in the western region. Areas of significant interdecadal variation of the key elements were found concentrated in northern and western regions, corresponding well with the areas of significant interdecadal variation of season duration.</p>     

Land-use and sustainability under intersecting global change and domestic policy scenarios: Trajectories for Australia to 2050

Understanding potential future influence of environmental, economic, and social drivers on land-use and sustainability is critical for guiding strategic decisions that can help nations adapt to change, anticipate opportunities, and cope with surprises. Using the Land-Use Trade-Offs (LUTO) model, we undertook a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia’s agricultural land from 2013–2050, under interacting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land-uses and assessed the sustainability of economic returns and ecosystem services at high spatial (1.1 km grid cells) and temporal (annual) resolution. We found substantial potential for land-use transition from agriculture to carbon plantings, environmental plantings, and biofuels cropping under certain scenarios, with impacts on the sustainability of economic returns and ecosystem services including food/fibre production, emissions abatement, water resource use, biodiversity services, and energy production. However, the type, magnitude, timing, and location of land-use responses and their impacts were highly dependent on scenario parameter assumptions including global outlook and emissions abatement effort, domestic land-use policy settings, land-use change adoption behaviour, productivity growth, and capacity constraints. With strong global abatement incentives complemented by biodiversity-focussed domestic land-use policy, land-use responses can substantially increase and diversify economic returns to land and produce a much wider range of ecosystem services such as emissions abatement, biodiversity, and energy, without major impacts on agricultural production. However, better governance is needed for managing potentially significant water resource impacts. The results have wide-ranging implications for land-use and sustainability policy and governance at global and domestic scales and can inform strategic thinking and decision-making about land-use and sustainability in Australia. A comprehensive and freely available 26 GB data pack (http://doi.org/10.4225/08/5604A2E8A00CC) provides a unique resource for further research. As similarly nuanced transformational change is also possible elsewhere, our template for comprehensive, integrated, quantitative, and high resolution scenario analysis can support other nations in strategic thinking and decision-making to prepare for an uncertain future.     

碳交易政策的经济影响:以广东省为例

通过构建广东省两区域动态模型,对广东省碳交易及其他政策措施进行定量评估,分析实施可调控总量的碳交易政策机制对广东省及参与交易部门的经济影响。研究结果表明,按照减排情景到2015年广东完成19.5%的碳强度下降目标,相比基准情景,GDP将减少0.7%;按照强减排情景到2015年将完成20.5%的碳强度下降目标,相比基准情景GDP将减少0.9%;如果在强减排情景的基础上实施碳交易政策,GDP相对基准情景减少0.8%,到2015年实施碳交易政策可减少GDP损失约90亿元,说明广东建立碳排放权交易机制能够发挥支持经济发展和节能减碳双赢的作用。