黄东海大气边界层高度季节变化特征及其成因

利用CFSR再分析资料,采用EOF的分析方法统计分析了黄东海边界层高度的季节变化特征,探讨了2个模态的分布型以及与之相联系的下垫面热通量和垂直环流,统计了ICOADS资料中近30a逐月低云发生频率和海雾发生频率,揭示了其与边界层高度分布特征的一致性。结果表明:盛行风的平流作用与下垫面特征相结合造成的低空稳定性的变化是黄东海边界层高度时间上夏季低、冬季高,空间上呈现东高西低、南高北低的重要因素。EOF分析中第一模态表现为整个黄东海区域具有一致性,主要是大尺度环流的影响;第二模态为春秋相反的2个分布型,与海洋锋、冷舌以及暖水团的季节变化有着密切关系。黄东海大气边界层高度的最大值出现时间以及其大小在空间上较为一致,而最小值以黄东海海洋锋为界,向北逐渐减小,以南差异性不大,出现时间上有较大的差异。,这主要由黄东海冷舌、暖水团以及海洋锋的季节变化所引起对边界层经向分布影响较大所引起的。春夏季节,南部(西部)低云发生频率高于北部(东部),海雾发生频率低于北部(东部);海雾高频区对应较低边界层高度,而低云高频区对应相对较高边界层高度。     

冷空气过程对黄海东海区域海洋大气边界层结构影响的个例分析

利用一次冷空气过程的14组GPS探空数据,采用位温梯度法确定了冷空气过境前后大气边界层高度,并分析了冷空气过程对大气边界层结构的影响。结果表明:冷锋过境加大了海洋大气边界层的静力不稳定度,使边界层内对流活动增强,且锋面过后距离锋面越近的区域边界层的静力不稳定度越大;冷锋过境使边界层的平均高度升高,边界层顶处逆温梯度增大。结合ERAInterim再分析资料,分析认为大气边界层高度与静力稳定度(海气温差)存在显著的正相关关系(相关系数达0.73),海气温差越大,大气边界层高度越高。     

基于船载GPS探空数据的黄东海大气边界层高度分析

根据2012年5、11月2次船载GPS探空资料,结合CFSR再分析、OISST海温、沿岸站位L波段雷达数据等,对黄东海海洋大气边界层(MABL)的时空变化特征及影响因子进行了分析。GPS探空数据表明,正的海气温差产生对流边界层,负的为稳定边界层。相比陆地边界层,MABL的日变化很小。5月份,MABL较低,暖区的海气温差大小与MABL高度相关,而冷区风切变的影响较为显著,太阳辐射也能一定程度上影响MABL高度。11月,MABL远高于5月,海气温差、太阳辐射均能影响MABL高度,风切变贡献很小。5月份海洋锋暖水侧的水汽能到达MABL以上,冷水侧水汽则维持在MABL中;11月水汽被限制在MABL以内。通过青岛、洪家站的L波段雷达数据对比,得到沿岸地区的大气边界层具有与MABL相同的季节变化,能够代表黄、东海MABL特征,但日变化更加剧烈,因此在替代研究海上MABL日变化时具有局限性。     

我国东部沿海一次局地海雾抬升成云过程分析

利用洪家站L波段雷达探空资料、高分辨率海气耦合模式再分析资料、静止气象卫星云图和地面观测资料,分析了一次黄东海海雾抬升为低云,使海雾消散的过程。发现近海面偏南风速突然增强,海洋大气边界层(MABL)中机械剪切加强,湍流混合层向上发展,是导致海雾抬升转化为低云的主要原因。近海面风速突然增加与高空急流北抬、平均层槽脊振幅加大、槽前正涡度平流输入诱使地面低压系统发展、地面气压梯度力增大有关。近海面气温升高对海雾消散也有作用,气温升高的原因是暖平流、绝热下沉和海气界面热通量的综合效应。其中,东海海洋锋(STF)冷区的下沉气流可能对边界层内的绝热下沉增温和低云的形成高度有重要的影响。该研究为海雾消散预报提供了新的思路。     

基于中国第6～9次北极科学考察观测的季节冰区边界层逆温变化特征分析

利用我国第6～9次北极科学考察期间获取的大气探空资料,分析了北极季节冰区边界层逆温的时空变化特征及其成因。分析发现:(1)边界层逆温具有较强的年际变化和空间变化,高纬度密集冰区观测到更多的强逆温现象,逆温厚度与逆温层温差呈显著的对数关系;(2)不同年份边界层逆温的主要成因有所差别:海冰分布的差异导致不同年份的边界层逆温特征不同;表面融化、辐射冷却、多层云的结构和暖平流对不同冰情年份边界层逆温的贡献程度不同;(3)开阔水域和冰区边界层逆温的成因不同。表面融化和空气平流对冰区边界层逆温的形成起着非常重要的作用,而辐射冷却是开阔水域边界层逆温的主要成因之一。     

三种方法确定济南夏季日最大边界层高度的对比研究

基于济南站边界层风廓线雷达(wind profile radar,WPR)观测的大气折射率结构常数(C_n~2),采用偏离度法确定夏季白天边界层高度(H_(BL)),分别与基于L波段雷达探空资料的干绝热曲线法、基于地面气象观测资料的国标法确定的H_(BL)进行对比。结果表明:1)三种方法确定的25 d日最大H_(BL)的平均值分别为2 500.0 m、2 529.1 m、2 469.9 m,总体一致; 25 d同日期比较,偏离度法与后两者的标准偏差(σ)分别为337.1 m、636.7 m;前两方法结果的相关系数(R)较高为0.668,但两者与国标法的R分别为-0.130、-0.064,证实国标法H_(BL)的均值准确度尚可但实时值准确度低。2)偏离度法确定的日最大H_(BL)出现时间,25 d平均和最多均在15时,逐小时H_(BL)07—15时呈缓慢增高态势、15—19时则快速降低;但国标法日最大H_(BL)25 d平均和最多均出现在16时,且H_(BL)在午后13—15时出现坍塌现象,与对流边界层午后峰值规律显著不同。3)前两种方法的H_(BL)与地表温度、气温的相关性均较好,与风速的相关性则较差;而国标法H_(BL)与风速的相关性较好,与地表温度、气温的相关性则较差;偏离度法日最大H_(BL)对最高气温、最高地表温度的平均响应时间分别为1、2 h左右,符合太阳辐射—地表温度—气温—H_(BL)的响应关系和次序,但国标法的日最大H_(BL)未能反映这一响应。4)偏离度法H_(BL)与各污染物的逐小时质量浓度均呈显著负相关,但国标法H_(BL)的相关性较差。5)三种方法综合对比,偏离度法H_(BL)准确度较高,且能给出时空演变;干绝热曲线法H_(BL)准确度较高,但不能给出时空演变;国标法实时H_(BL)准确度低,虽能给出时空演变但午后峰值偏差大。     

基于风廓线雷达观测的台风“天兔”边界层演变特征研究

垂直探测台风边界层特征对于认清台风结构具有重要意义。基于1319号台风“天兔”途经的三个边界层风廓线雷达站的观测资料,结合探空数据,本文分析了“天兔”的边界层径向、切向风特征,结果表明：1）最大切向风速出现在眼区附近,在“天兔”稳定维持为强台风级别期间,最大切向风速基本稳定在1800 m高度左右,随着登陆后强度的迅速减弱,最大切向风速减弱、最大切向风速垂直范围缩小;2）最大风速所在高度和台风入流层顶高基本相近,大于依据理查森数或位温梯度所判断出的边界层高度,而基于信噪比（SNR）或其梯度所判断的混合层高度时常偏低;3）“天兔”登陆前边界层高度可以达到2100 m以上,在台风级别及以上时,各站观测到的边界层高度变化不大,基本在1200～1600 m之间,登陆后随着台风强度的减弱,边界层高度迅速减小。     

南海大气边界层高度的气候特征研究

利用1979—2020年逐时的ERA5再分析数据,研究了南海区域大气边界层高度的气候特征及其影响因子。结果表明：南海区域平均大气边界层高度为500～800 m,空间上呈中间高、四周低的分布特征。南海大气边界层高度具有显著的季节变化特征,总体按照冬季、秋季、夏季、春季依次递减,日变化较小,大部分区域边界层高度的日变化幅度小于300 m,日循环比较平缓。南海大气边界层高度显著的季节变化特征主要受海气温差、海表面风、感热通量、潜热通量和稳定度的共同影响。较大的海气温差和强风速使海表热通量增加,下垫面不稳定性增加,海气相互作用加强,湍流活动增强,导致秋冬季边界层高度较高。过去42 a南海区域年平均大气边界层高度显著增高,年平均增高率约为0.8 m/a,且边界层高度变化存在显著的季节差异。海表面温度升高、潜热通量增加以及稳定度减小有利于边界层的发展,可能是导致南海边界层高度增加的主要原因。     

太平洋低纬地区垂直环流圈与海温的季节变化

本文对西太平洋低纬地区科罗尔等五个测站200百帕与850百帕高度风场资料作了分析。结果表明,西太平洋低纬地区经向垂直环流圈的季节变化与所在经度范围内的南北向海温梯度的季节变化一致。而纬向垂直环流圈的季节变化则与印度洋——太平洋低纬地区东西向海温梯度的季节变化一致,并且落后于海温梯度一个月。这一现象表明,赤道太平洋东部与热带印度洋西部的海温变化均与太平洋低纬地区纬向环流的变化有密切的关系。单单强调赤道太平洋东部海温的热力作用是不够的。     

南海北部深水海域温度以及盐度的季节及年际变化特征

利用SODA(Simple Ocean Data Assimilation)再分析资料,分析了南海北部深水海域温度及盐度的季节和年际变化特征,讨论了季节及年际变化时间尺度上黑潮通过吕宋海峡对南海北部温、盐场的影响.资料分析表明:南海北部深水海域温、盐场存在明显的季节及年际变化特征.在气候平均态下,吕宋海峡处黑潮对南海北部温、盐场的影响主要存在于119°E以东;黑潮对南海的入侵程度在冬季最大,可影响到118°E附近;在秋季最小.吕宋海峡以西的温度水平梯度在秋季最弱,而盐度水平梯度则在夏季最弱.在吕宋海峡处黑潮形变的南侧,温、盐场年际变化信号最强.通过EOF(Empirical Othorgnal Function)分析,发现南海北部深水海域盐度和温度场第一模态的最大变率均分布在吕宋海峡处黑潮形变的南部,且均具有2～5 a的年际变化周期.另外,在年际变化时间尺度上,南海北部深水海域盐度场受黑潮形变的影响较大,在黑潮流量大的年份吕宋海峡处盐度值较低,在黑潮流量小的年份吕宋海峡处盐度值较高,而温度场则和Nino3.4指数呈明显的负相关变化.     

基于ECMWF数据的中国近海低空波导特征研究

基于1988-2017年高分辨率的欧洲中尺度天气预报中心再分析数据,本文对中国近海的低空大气波导进行了统计分析。结果表明:该海域整体大气波导概率为22%,其中悬空波导占60%以上;春季最容易发生大气波导,其次是夏季、秋季和冬季。区域时空分布上,中国近海大气波导特征具有明显的月变化和区域分布特征。大气波导发生概率北部海域(渤海、黄海、东海)发展变化较大,南部海域(南海)变化较小;波导底高南方高,北方低,靠近大陆沿岸和岛屿西侧海域低,远海较高,这与主导波导类型密切相关。波导厚度和强度均呈现出明显的半年期震荡:冬、春季节波导厚度具有‘北低南高’,强度‘北弱南强’分布特征,夏、秋季节具有‘北厚南薄’,强度‘北强南弱’分布特征。该结论可以充实我国大气波导数据库建设,为海上雷达探测、通信等提供环境支撑。     

秋季巴伦支海海温异常对冬季我国渤海冰情的可能影响

本文利用美国NCEP/NCAR逐月的再分析资料、HadISST海温、中国160台站气温和反映渤海冰情轻重的渤海冰情等级资料,研究了前秋巴伦支海海温异常对后期渤海冰情和东亚冬季风的影响,并对相关的物理过程进行分析。结果表明,前秋巴伦支海关键区海温与该区域海冰密集度呈显著的负相关,且具有较好的持续性,通过调节随后冬季向大气释放的热通量,引起后期环流变化。偏高(偏低)年冬季亚洲纬向环流偏弱(偏强),东亚大槽加深(减弱),东亚冬季风加强(减弱),我国东北、华北及西北地区地区显著偏冷(偏暖),这与冬季渤海海冰异常的强度和范围都偏大(小)及与之相联系的环流异常相一致。进一步的分析揭示了联系上游关键区海温变化与后期东亚地区气候异常的重要途径,前秋巴伦支海海温偏高会导致200 hPa高度场形成一个自西向东的波列形式,在东亚局地Hadley环流异常的作用下,加强了我国北方地区地表的北风异常。因此,前秋巴伦支海海温异常可以作为冬季渤海冰情的预报因子。     

影响东海气候的太阳活动信息分析

采用逐次滤波法逐次提取东海气温资料序列中蕴涵的太阳活动影响信息并加以分析,发现东海气候年代际变化特征十分清楚,主要表现为:(1)突变性,东海夏季7月海平面层及对流层大气温度场在过去半个多世纪中发生过一次急剧变化,突变点是1978年7月.从1978年7月由历时30多年的温度偏低时期跃变为持续高温时期,高温期持续至20世纪末,升温幅度超过0.4℃.资料分析表明,整个对流层东海夏季大气温度都具有这种年代际变化特征;(2)高空气候持续增温型,东海夏季7月平流层中部10 hPa大气温度表现为一种波动式的持续升温过程,50多年来温度升高4℃,年升温率超过0.075℃/a.东海平流层底部100 hPa温度也具有持续升温的特点,从1948年至今呈缓慢升高的趋势,53 a升高了1.9℃,升温率为0.036℃/a;(3)周期性,东海不同高度大气温度都具有显著程度不同的22 a周期性年代际变化特征,22 a周期分量的振幅由高空到低空迅速减小,表明22 a周期高空清楚,低空不太明显.东海对流层中部和平流层底部还具有显著的11 a周期性年代际变化.据分析认为22 a周期是太阳黑子磁场磁性变化周期所激发,11 a周期与太阳黑子相对数11 a周期相吻合,二者均为太阳活动在大气气候中的反映.     

Estimation of mean and extreme waves in the East China Seas

Accurately estimating the mean and extreme wave statistics and better understanding their directional and seasonal variations are of great importance in the planning and designing of ocean and coastal engineering works. Due to the lack of long-term wave measurement data, the analysis of extreme waves is often based on the numerical wave hind-casting results. In this study, the wave climate in the East China Seas (including the Bohai Sea, the Yellow Sea and the East China Sea) for the past 35 years (1979–2013) is hind-casted using a third generation wave model – WAMC4 (Cycle 4 version of WAM model). Two sets of reanalysis wind data from NCEP (National Centers for Environmental Prediction, USA) and ECMWF (European Centre for Medium-range Weather Forecasts) are used to drive the wave model to generate the long-term wave climate. The hind-casted waves are then analysed to study the mean and extreme wave statistics in the study area. The results show that the mean wave heights decrease from south to north and from sea to land in general. The extreme wave heights with return periods of 50 and 100 years in the summer and autumn seasons are significantly higher than those in the other two seasons, mainly due to the effect of typhoon events. The mean wave heights in the winter season have the highest values, mainly due to the effect of winter monsoon winds. The comparison of extreme wave statistics from both wind fields with the field measurements at several nearshore wave observation stations shows that the extreme waves generated by the ECMWF winds are better than those generated by the NCEP winds. The comparison also shows the extreme waves in deep waters are better reproduced than those in shallow waters, which is partly attributed to the limitations of the wave model used. The results presented in this paper provide useful insight into the wave climate in the area of the East China Seas, as well as the effect of wind data resolution on the simulation of long-term waves.     

Monthly Variations of Water Masses in the Yellow and East China Seas, November 6, 1998

The monthly water mass variations in the Yellow Sea and the East China Sea are investigated using over 40 years of historical temperature and salinity observations via a cluster analysis that incorporates geographical distance and depth separation in addition to the temperature and salinity. Results delineate monthly variations in the major water masses and provide some insight into formation mechanisms and intermixing. The major water masses include the Kuroshio-East China Sea water (KE), the Yellow Sea surface water (YSS) and bottom cold water (YSB), mixed water (MW), and coastal water (CW). The distribution of the KE water mass reveals the intrusion pattern into the area west of Cheju. A separate mixed water type appears between the KE water mass and the Yellow Sea water masses during winter. The formation mechanism of the YSB appears to be the surface cooling and active mixing in winter. In the East China Sea, during summer, surface water is differentiated from the subsurface water while there is no differentiation during winter. In the Yellow Sea, a three layer system exists in the summer and fall (May–November) while a two layer system exists during the rest of the year. A fresh water mass generated by Yangtze River discharge (YD) is present over the northern East China Sea and the southern Yellow Sea during summer. This revised version was published online in August 2006 with corrections to the Cover Date.     

渤、黄、东海透明度的分布与变化

本文根据1972～1987年间中国和南朝鲜的海洋调查资料,分析研究了渤、黄、东海海水透明度的分布特征和季节变化,并对其影响因子作了较为详细的讨论。渤、黄、东海海水透明度具有明显的地区差异和季节变化。其基本特征为:近岸和河口区透明度低;远岸和受外海水系影响区高。冬季低;夏季高。控制透明度分布和变化的主要影响因子有:风和潮流的搅拌作用、大陆径流、沿岸和外海流系、沉积物分布和海洋层化等。     

Characteristics of Sea Surface Circulation and Eddy Field in the South China Sea Revealed by Satellite Altimetric Data

Temporal and spatial variations of sea surface circulation in the South China Sea were revealed with use of altimetric data provided by TOPEX/POSEIDON from December 1992 to October 1997. The estimated distribution of sea surface dynamic heights from altimetric data coincide well with the results of observation by Soong et al. (1995) and Chu et al. (1998). The RMS variability of sea surface dynamic height, which is obtained after tidal correction based on Yanagi et al. (1997), is high in the central part of the South China Sea, the Gulf of Tongking, the Sunda Shelf and the Gulf of Thailand. The high RMS variability in the Gulf of Tongking, the Sunda Shelf and the Gulf of Thailand is due to set up and set down of sea water by the East Asian monsoon, which is northeasterly during winter and southwesterly during summer. Also, the high RMS variability in the central part of the South China Sea is due to the variations of basin-wide circulation. The circulations are dominant in the central part of the South China Sea during summer and winter, an anticyclonic circulation during summer and a cyclonic circulation during winter. It is suggested that these circulations are controlled by the East Asian monsoon. Hence, there is an interannual variability of the basin-wide circulation associated with the variation of the East Asian monsoon.     

Severe winter weather as a response to the lowest Arctic sea-ice anomalies

Possible impact of reduced Arctic sea-ice on winter severe weather in China is investigated regarding the snowstorm over southern China in January 2008. The sea-ice conditions in the summer （July-September） and fall （September-November） of 2007 show that the sea-ice is the lowest that year. During the summer and fall of 2007, sea ice displayed a significant decrease in the East Siberian, the northern Chukchi Sea, the western Beaufort Sea, the Barents Sea, and the Kara Sea. A ECHAM5.4 atmospheric general circula- tion model is forced with realistic sea-ice conditions and strong thermal responses with warmer surface air temperature and higher-than-normal heat flux associated with the sea-ice anomalies are found. The model shows remote atmospheric responses over East Asia in January 2008, which result in severe snowstorm over southern China. Strong water-vapor transported from the Bay of Bengal and from the Pacific Ocean related to Arctic sea-ice anomalies in the fall （instead of summer） of 2007 is considered as one of the main causes of the snowstorm formation.     

Surface current field and seasonal variability in the Kuroshio and adjacent regions derived from satellite-tracked drifter data

The muhiyear averaged surface current field and seasonal variability in the Kuroshio and adjacent regions are studied. The data used are trajectories and （1/4） ° latitude by （1/4） ° longitude mean currents derived from 323 Argos drifters deployed by Chinese institutions and world ocean circulation experiment from 1979 to 2003. The results show that the Kuroshio surface path adapts well to the western boundary topography and exhibits six great turnings. The branching occurs frequently near anticyclonic turnings rather than near cyclonic ones. In the Luzon Strait, the surface water intrusion into the South China Sea occurs only in fall and winter. The Kuroshio surface path east of Taiwan, China appears nearly as straight lines in summer, fall, and winter, when anticyclonic eddies coexist on its right side; while the path may cyclonically turning in spring when no eddy exists. The Kuroshio intrusion northeast of Taiwan often occurs in fall and winter, but not in summer. The running direction, width and velocity of the middle segment of the Kuroshio surface currents in the East China Sea vary seasonally. The northward intrusion of the Kuroshio surface water southwest of Kyushu occurs in spring and fall, but not in summer. The northmost position of the Kuroshio surface path southwest of Kyushu occurs in fall, but never goes beyond 31 °N. The northward surface current east of the Ryukyu Islands exists only along Okinawa-Amami Islands from spring to fall. In particular, it appears as an arm of an anti- cyclonic eddy in fall.