台风活动对陕西重大洪灾事件影响的综合分析

运用统计学、天气学、卫星云图和物理诊断等方法,对1970—2004年35年间发生在陕西重大洪灾事件和近海台风活动(130°E以西的台风)进行分析。结果发现,陕西重大洪灾与近海台风活动相关率达90%。重大洪灾事件主要集中在7、8两个月,约占88%,当影响台风在南海区域生成或从西太平洋西移穿越过130°E时,对陕西重大洪灾影响明显。其暴雨的水汽、能量主要依靠台风低压外围的偏东风急流来输送,以850 hPa层输送最为显著。近海台风活动为引发陕西重大洪灾的暴雨发生、加强,提供了必需的能量和水汽条件,台风的作用是造成陕西重大洪灾事件相当重要的因素。     

台风与高原东北侧冷锋暴雨的环境场及云图特征

运用天气学、卫星云图和物理诊断方法,分析20°N以北、130°E以西有台风活动,陕西有地面冷锋东移过境并出现大暴雨的3次典型天气过程,以揭示近海台风活动对青藏高原东北侧冷锋暴雨增幅的特征和规律。结果显示此类暴雨的中尺度对流云团位于冷锋云系的前部,其水平尺度在几十公里到300 km左右,生命史约6~8 h,中尺度系统常具有夜间发展、增强的特征。冷锋暴雨的水汽输送主要依靠台风低压外围的偏东急流来传递,水汽输送以850 hPa层附近最为显著。当台风西行移至台湾岛附近活动,而青藏高原东北侧的陕西有冷锋过境东移时,此时出现冷锋暴雨的降水增幅明显。     

陕西早春一次罕见暴雨过程的环流演变及水汽输送分析

利用天气学、卫星云图和物理诊断方法,对2004年2月20日发生在陕西省的一次暴雨过程进行分析。结果发现：其环流演变是一次纬向型朝径向型环流快速调整的过程;暴雨区的主要水汽输送分别由700 hPa孟加拉湾的西南暖湿急流和低纬度热带低气压西侧的850 hPa的偏南气流提供,热带低压西侧的偏南急流直伸到陕西的位置决定了强降水的落区;云图分析显示暴雨期间在菲律宾附近有一个热带低气压云系存在并维持,与夏季出现大范围暴雨时的云图特征较为相似。结论表明对陕西春季的暴雨预报除考虑环流演变外,还应关注低纬地区的水汽和能量输送及热带低压云系活动状况。     

登陆台风对陕西一次强雷暴天气的作用

利用常规的天气图和物理量资料对1994年8月5～6日发生在陕西中部的一次区域性大风、冰雹、强暴雨天气进行诊断分析，结果表明：登陆台风的北上使得副热带高压东退，导致西风槽向东移动，带来弱冷空气，触发了陕西中部不稳定能量的释放。登陆台风向暴雨区输送了大量的能量和水汽。850hPa偏东急流左前侧的辐合区与200hPa西南急流入口区右侧辐散区重叠，产生的急流次级环流为强雷暴提供了持续强劲的上升运动。     

伴有区域暴雨的重庆秋季连阴雨及其暴雨特征

利用降水实测资料、1°×1°的NCEP格点再分析资料对2000年以来的伴有区域暴雨的重庆秋季连阴雨过程进行统计分析。结果表明:伴有区域暴雨的重庆秋季连阴雨过程主要发生在9月份,重庆西部地区为伴有区域暴雨的连阴雨过程的多发区;可将连阴雨期间区域暴雨就有无台风西进登陆我国分为两类,两类暴雨的影响系统的差异表现为,没有台风登陆时700hPa/850hPa的主要影响系统为切变线或者西南涡;有台风登陆时的主要影响系统则为台风倒槽;24小时变温、低层涡度、假相当位温、整层水汽通量以及比湿对连阴雨期间暴雨的预报有较好的指示意义,同样表征水汽条件的相对湿度的指示意义较差。      

2020年黑龙江省“巴威”台风暴雨成因分析

选取2020年8月27-28日黑龙江省降雨量和风的实况观测资料以及NCEP再分析等资料,分析了2020年“巴威”台风影响黑龙江省时的风雨天气实况、环流形势和物理量场特征。结果表明:“巴威”台风登陆后迅速减弱变性,对黑龙江省的影响主要是暴雨天气,风力影响相对较小。台风减弱变性后的温带气旋以及低层850 hPa和700 hPa风向或风速辐合为产生暴雨提供了较好的动力抬升条件,台风携带水汽及低空急流的水汽输送为产生暴雨提供了充分的水汽条件,低层风场辐合区稳定少动为产生暴雨提供了充足的时间。低层850 hPa比湿、水汽通量、水汽通量散度以及中低层垂直速度等物理量要素对预报暴雨落区和发生时间有较好的指示意义。     

台风“温比亚”（1818）造成山东极端强降水的成因分析

利用气象卫星、多普勒天气雷达、区域自动气象观测站及常规气象观测资料,结合NCEP/NCAR逐日6 h再分析资料（0.25°×0.25°）,对2018年18号台风“温比亚”及其残骸长时间影响山东引发特大暴雨的成因进行分析发现：1）此次极端降水可分为三个阶段,分别受台风外围螺旋云系、倒槽和变性后温带气旋冷锋影响,其中弱冷空气与台风倒槽相互作用对强降水的产生和维持起到了重要作用。2）“温比亚”缓慢北上过程中,强降水落区从台风东侧逆时针转至其北部倒槽附近,并逐渐远离台风中心,台风强度逐渐减弱。3）冷空气在对流层中层与台风倒槽相互作用,中层冷暖平流增强形成锋区,斜压不稳定能量增强,暖湿空气在锋区附近上升,并与低层倒槽辐合上升运动相配合,引发了倒槽附近特大暴雨的发生。4）此次过程中,低空急流稳定维持,源源不断地将水汽自东海输送至台风倒槽附近,水汽输送集中在800 hPa以下,850 hPa水汽通量辐合强度大于8×10-6 g·cm-2·hPa-1·s-1区域与暴雨落区的形态和位置对应良好。5）对流层中层的弱冷空气和低层的强暖湿气流促进了对流不稳定层结的发展和维持,低层强风速带在鲁中山区迎风坡强迫抬升不断触发中尺度对流系统,在中高层气流引导和地形作用下产生“列车效应”,也是此次过程中局地特大暴雨产生的重要因素。     

邯郸地区一次登陆台风大暴雨过程观测分析

受登陆台风"海棠"减弱后低压与东移锋面云系的共同影响,2005年7月21日夜间到23日早晨邯郸地区出现了大范围的暴雨天气。本文从天气形势、水汽输送特征、云系演变特征和大气不稳定条件等方面进行分析,探讨了这次登陆台风暴雨天气的成因。结果表明,台风低压、稳定少变的副热带高压以及500 hPa低槽相互作用,共同造成了这次暴雨天气过程,高纬弱冷空气南下,与台风携带的暖湿空气相遇,加之太行山地形的影响,造成暖湿空气抬升,使得冀南地区产生中尺度对流云团,进而发生强降水。地面自动站以及加密站风场资料分析指出,低空偏北风与偏东风之间的中尺度辐合线对暴雨发生有重要作用,其出现的时间和位置决定了中尺度暴雨天气的发生时间和位置。在水汽输送方面,西部山区的暴雨区水汽主要来源于南海和东海,而东部平原地区的大暴雨,其水汽主要来源于南海。简单的层结分析表明,暴雨区上空存在对流不稳定和对称不稳定共存的现象,两者共同为系统发展和暴雨发生提供了不稳定条件。     

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。     

台风“利奇马”引发山东强降水成因分析

利用常规气象观测资料、台风最佳路径数据集资料、地面-卫星-雷达三源融合逐小时降水产品(0.05°×0.05°)、FY-2G云顶亮温(0.1°×0.1°)、NCEP／NCAR FNL(1°×1°)再分析资料,对2019年9号台风“利奇马”影响期间2019年8月11日发生的山东特大暴雨过程进行分析。结果表明:1)强降水主要受台风倒槽的影响,台风倒槽在山东中部暴雨区长时间稳定维持,台风东侧的低空东南急流把东海北部的水汽和能量向暴雨区输送,配合200 hPa高空急流的“抽吸作用”,在暴雨区上空辐合抬升,造成具有中尺度特征的暴雨。2)强降水区存在的正涡度区伴随强烈的上升运动、低层辐合、高层辐散的结构和次级环流耦合发展,为此次台风暴雨过程提供了有利的动力条件,而且动力条件的演变在此次台风暴雨过程中的作用比热力条件更重要。3)850 hPa水汽通量辐合中心,以及相匹配的在垂直方向的强上升运动区,对强降水落区和雨强有一定的指示意义。     

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。