乌鲁木齐大气边界层结构的四季特征初探

利用乌鲁木齐市2011～2012年08时、20时L波段(1型)雷达探测的高空资料建立了乌鲁木齐大气边界层气象要素数据库,分析了乌鲁木齐边界层内气温、风向、风速和相对湿度的垂直分布及其时间变化特征。结果表明：边界层内温度廓线的日变化和季节变化比较显著,各月均有逆温出现,且08时较20时更易出现逆温,冬季08时逆温层厚度较厚且强度最大。边界层内夏、冬两季风速随高度变化波动较大,春、秋两季变化较小。近地层春、夏、秋三季08时盛行西南偏南风,冬季盛行偏东风和西南风;20时春季盛行东北风,夏秋盛行偏北风和西北风,冬季则盛行东风和东北偏东风。08时、20时风向均随高度的增加呈明显的向右偏转趋势,且日风向的变化具有明显的“山谷风”特点。08、20时的相对湿度冬季最大,夏季最小,且随高度增加,春、夏两季08、20时相对湿度的变化较大。     

乌鲁木齐冬季大气边界层温度和风廓线观测研究

为了进一步认识乌鲁木齐冬季大气边界层的结构特征及其对大气污染的影响,为改进城市空气污染预报和污染治理提供科学依据,利用2008年1月11—13日系留气艇对乌鲁木齐市城区大气边界层过程进行观测试验的资料,分析了观测期间乌鲁木齐风、温廓线和混合层厚度的变化特征,并探讨了大气边界层结构对乌鲁木齐大气污染的影响。结果表明:观测期间乌鲁木齐近地面全天存在悬浮逆温,且有时为多层逆温,大气层结稳定;受逆温层的影响,近地面全天风速都很小,均在4m/s以下,风向随高度变化规律明显;观测期间乌鲁木齐大气混合层厚度平均为274m。乌鲁木齐冬季大气边界层风、温廓线的特征及混合层厚度,对大气污染的影响作用显著,是造成该地区冬季多污染的主要原因之一。     

基于系留探空试验的古尔班通古特沙漠低空气象廓线解析?

利用2011年10月15—24日在古尔班通古特沙漠腹地系留气艇边界层试验的探测资料,分析了沙漠腹地近地层风、温、湿等气象要素廓线垂直分布特征及其变化情况,结论如下:(1)20时—08时存在逆温,08时逆温最强,逆温强度为2.85℃/100 m,逆温层高度为700 m,之后逆温逐渐消失;夜晚近地层湿度明显大于上层大气,在100 m高度差内,湿度先快速减小再缓慢增大,与白天相反,20时近地面出现逆湿,1 100 m高度湿度发生明显切变;逆温层以上风速随高度变化呈多峰态,逆温层范围内风速增大趋势明显,900~1 100 m之间存在200 m厚的恒风区,1 100 m以上风速再次增大,白天的风速小于夜间。(2)风速波动范围大约为2~8 m/s,近地面100 m范围内风速随高度快速增大,风向由东南风向南风转变,600~900 m之间风速变化减缓,风向由从南风逐渐向东风转变,以东南风为主,风速与风向同步改变。(3)600 m以下随温度升高湿度快速减小,600~1 100 m之间又持续增大,1 100~1 500 m之间呈波动变化的趋势,1500 m增大明显。(4)风切变指数夜晚大于白天,最大值在23时(20.88),最小值在中午14时(0.97),平均风切变指数为9.61。混合层厚度平均为125.88 m。     

宜昌冬季两次降水过程大气边界层的观测分析

利用宜昌2007年12月10-25日的加密观测资料,分析了两次低值系统经过宜昌时大气边界层的温湿风廓线结构及其日变化特征。结果表明：位温廓线具有明显的日变化特征,对流边界层在白天出现和发展,其高度可达600m,而稳定边界层在夜间出现和发展,其高度可达300m,降水会抑制对流边界层和稳定边界层的发展;湿度廓线结构及其日变化与对流边界层的发展有关,总体上湿度随高度减小,贴近地面的薄层湿度随高度减小较快,而混合层内湿度随高度变化较小,出现降水时,近地层的湿度有明显增加,大气边界层内湿度随高度快速平稳减小;风速廓线结构比较复杂,总体上风速随高度增大,在大气边界层低层有时会出现一个风速极大值,风速廓线没有明显的日变化特征,大气边界层内风向变化较大,但以偏东风为主。     

稳定大气边界层中风向脉动的特征

本文对稳定大气边界层中风向脉动的特征进行了讨论。用美国波德大气观测台(BAO)气象塔上超声风速仪的观测资料,计算了三种不同稳定大气结构条件下垂直风向σ_w/U和横截风向σ_v/U随时间的变化。结果表明σ_w/U和σ_v/U随平均时间的变化分别与垂直风速和横向风速的能谱分布有关。σ_w/U和σ_w/U随平均时间变化的峰值与能谱峰值的时间尺度相当。 在重力内波的情况下,边界层大气中往往伴随有风向切变。由于稳定大气边界层的结构十分复杂,通常,风向脉动参数和Ri数及高度之间无简单规律。只有在一层逆温时,在风速和Ri数均随高度增加的情况下才有一定的简单关系。     

温江站夏季大气边界层垂直结构特征

利用温江观测站边界层塔和探空获取的观测资料,从地表物理量的日变化、边界层的垂直结构及逐日变化这些方面分析该站夏季边界层特征,得到以下结论:(1)地表各物理量都具有明显的日变化特征,呈现一峰一谷的演变状态,其中地表热通量、动量通量、气温以及风速的峰值皆出现在午后,谷值出现在凌晨,湿度与气温日变化是反位相的。(2)近地层低层大气气温在早晚时段,随高度的增加而上升,呈逆温状态;午间时段随高度的增加而下降。9 m以下大气在午后的比湿梯度最大。风速值随着高度的增高而增大,风切变随着高度的增高而减小。(3)探空观测的边界层垂直结构显示:夏季温江站早晚边界层大气层结稳定,而午后表现为典型的混合边界层特征。大气温/湿度差异随高度增长而降低,各个时次温/湿度的差异都主要集中边界层低层,越靠近地面大气温/湿度差异越突出。8:00的温度最低,14:00最高。14:00的大气比湿最小,2:00和20:00较大。近地层风速随高度增长较快,在离地2~300 m左右高度达到一个极值,4个时次的风速差异不大。(4)地表温度、短波辐射、感热通量对边界层的高度和降水都有一定的影响。     

延吉市边界层风场特征分析

利用风廓线雷达在延吉市开展了边界层风场的探测研究,根据2012年4个月逐日的边界层风场探测资料,分析了延吉市大气边界层风场的时空分布特征,得到了逐月的高空风廓线图。结果表明：1000m以下,水平风速和垂直风速随高度均呈现出增加的趋势,地面风速最小,750-1000m高度处存在明显的风切变层;2月和7月高空水平风速随高度的增加而增加,4月和10月高空水平风速变化呈单峰型的变化趋势;2月垂直风速随高度的增加逐渐增加,7月随高度的增加逐渐减少,4月和10月随高度呈双峰型的变化趋势;各月在1000～2000m高度垂直风速较小;各月水平风除个别高度外均以西风或偏西风为主导风向,垂直方向以下沉气流为主。     

东疆黑戈壁近地大气边界层气象要素季节变化规律

利用东疆红柳河黑戈壁下垫面陆气相互作用观测站2017年近地大气边界层梯度探测资料和红柳河气象站天气现象观测数据,分析该地区典型晴天条件下的近地层风速、温度和比湿的四季廓线特征。结果表明:四季近地层风廓线变化规律明显。典型晴天条件下,在0.5～4 m高度内风速随高度的增加而变大的速度较快,在4～32 m范围内,白天风速随高度增大较缓慢,但夜间出现快速增大;存在明显的夜间逆温,逆温层主要集中在4～32 m,冬季逆温强于夏季,晨间0.5～32 m间的温度差可达4.6℃,且红柳河四季的气温日较差均较大,秋季可达到15.7℃;夜间比湿高于白天,秋、冬季夜间逆湿层出现在10～32 m,其比湿差为0.15 g/kg左右,夏季无逆湿现象。     

苏州东山冬季大气边界层结构特征及其对污染物浓度的影响

利用2015年1月15—27日在苏州东山气象观测站系留气艇观测数据以及细颗粒物浓度观测资料,对东山大气边界层结构特征及其对污染物垂直结构分布的影响进行分析研究。结果表明:苏州东山地区冬季空气污染过程的边界层结构演变比较典型,夜间稳定边界层高度约为200 m,白天最大边界层高度可达1 000 m。边界层内污染物垂直结构分布易受边界层高度的影响,较低的大气边界层高度可使细颗粒物在近地层持续累积;反之,边界层高度较高,湍流发展旺盛,颗粒物垂直分布均匀。夜间大气边界层稳定,逆温结构多发,导致近地面出现细颗粒物堆积。风的垂直结构对细颗粒物空间分布也存在显著影响,在风速较小的低空层细颗粒分布较多,而风速较大的中高层的分布较少。      

北京山区与平原冬季近地面风的精细观测特征

利用2009—2018年冬季北京地区200多个自动气象站逐时10 m风速、风向观测数据,分典型区域（山区、山区与平原过渡区、平原区、城区）研究北京地区冬季近地面风的精细特征,并使用有完整记录的2 a（2017和2018年）冬季延庆高山区不同海拔高度10 m风逐时观测数据,多视角分析高山区不同海拔高度近地面风的特征和成因,以深刻认识北京地区复杂地形条件下冬季近地面风的特征和规律。结果表明:（1）北京地区冬季近地面平均风受西部北部地形、城市下垫面粗糙度和冷空气活动共同影响,平均风速沿地形梯度分布,山区高平原低,平原中又以城区风速最小;盛行西北风和北风,在城区东、西两侧盛行风出现扰流,在山区和过渡区一些地方还存在与局地地形环境明显关联的其他盛行风向。（2）4个典型区域冬季近地面风速日变化均表现为白天风速大于夜间,午间风速最大的“峰强谷平”单峰特征,这一特征的稳定性在城区高、山区低。（3）4个区域冬季弱风（< 1 m/s）频率为31%—42%,城区较高、山区较低;强风（> 10.8 m/s）频次则是山区多、城区少,强风风向主要表现为偏西—偏北,与冷空气活动密切关联;城区、平原区和过渡区偏南风频率均为极小,暗示北京“山区—平原”风模态在冬季是“隐式”的、不易被直接观测到。（4）近地面风的水平尺度代表范围在延庆高山区高海拔处明显大于低海拔处,海拔1500 m附近（平均的边界层顶高度）是延庆高山近地面风速日变化特征的“分水岭”,低于该海拔高度时近地面风速日变化表现为前述“峰强谷平”单峰特征,而高于该海拔高度时近地面风速日变化则呈现相反特征,即夜间大白天小、午间最小的“峰平谷深”特征,这是由边界层湍流活动的日变化及伴随的低层自由大气动量向边界层内下传所致。（5）延庆高山近地面风速大体上随观测高度而增大,高海拔站点日平均风速数倍于低海拔站点。白天—前半夜,海拔约2000 m的站点冬季盛行偏西风,风向变化不大,但风速为2—12 m/s;1000 m左右的低海拔站则风速比较稳定（< 6 m/s）,风向从午间至傍晚相对多变。      

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.     

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.     

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.     

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. Contributions from all over the world are welcome.SUBMISSIONAll submitted     

Information for Authors

AIMS AND SCOPE Atmospheric and Oceanic Science Letters （AOSL） pub- lishes short research letters on all disciplines of the atmos- phere sciences and physical oceanography. Contributions from all over the world are welcome.