北京夏季夜间低空急流特征观测分析

利用三年夏季系留气艇探测结果,分析了北京夏季夜间低空急流的一般特征.30％的夜间观测记录出现了低空急流.急流平均高度为200 m,其最大频率出现在140 m左右,90％急流出现在320 m以下.W、SW、SE是夜间低空急流的主要风向.不同观测地点低空急流在速度、风向和高度上存在明显差异.城区低空急流高度大部分时间比郊区高.个例分析表明,在夜间稳定边界层条件下,低空急流与局地山谷风环流强弱变化有很好相关.进一步成因分析认为,斜坡地形产生的热成风、山谷风环流可能是北京夏季夜间低空急流形成的主要原因.     

黄土高原复杂地形上边界层低空急流对近地层湍流的影响

利用中尺度气象数值模式（Weather Research and Forecasting Model,WRF）模拟风场,结合兰州大学半干旱气候与环境观测站（Semi-Arid Climate and Environment Observatory of Lanzhou University,SACOL）湍流观测资料,分析了黄土高原复杂地形上稳定边界层低空急流对近地层湍流活动的影响.黄土高原复杂地形上稳定边界层低空急流的形成与地形作用引发的局地环流有关.低空急流对近地层湍流活动有强烈影响,剪切作用使小尺度湍涡活动加剧,湍动能增大,同时非平稳运动被压制.低空急流发生时,观测数据有87.3%是弱稳定情形（梯度理查森数小于0.25）;而无低空急流时,对应时段的观测表明65.4%属于强稳定层结（梯度理查森数大于0.3）,非平稳运动造成湍流功率谱在低频端迅速增大.与无低空急流和弱低空急流情形相比,强低空急流发生时,近地层湍动能增大1倍,湍动能在垂直方向上的传递增大1个量级,且方向向下,约为-3 × 10^-3 m³·s^-3,湍流在上层产生并向下传递.     

长江三角洲地区春季低空大气臭氧垂直分布特征

介绍分析了2001年3月3日~4月13日浙江临安臭氧探空观测5 km以下臭氧垂直分布特征. 结果表明, 臭氧浓度垂直分布与湿球位温、风场有密切的关系. 臭氧浓度在2 km以下变化幅度很大, 明显的东风分量伴随臭氧高值. 5 km以下臭氧垂直分布可以分为峰值型、均匀型、分层结构型、低空污染型和线性增长型5个基本类型. 此外, 还分析了3种情形下区域尺度输送对低空污染型臭氧分布的影响.     

强迫和惯性不稳定对流发展在印度夏季风爆发过程中的作用

利用NCEP/NCAR R1再分析资料,分析了阿拉伯海上空对流层低层惯性不稳定现象对印度夏季风爆发过程的影响,揭示了纬向地转动量的纬向平流在惯性不稳定中的重要作用.研究表明,在印度夏季风爆发过程中,由于强烈的跨赤道气压梯度,对流层低层的绝对涡度零线(η=0)在阿拉伯海南部上空自赤道向北推进,从而在北半球近赤道区域形成负绝对涡度区,该区域表现出明显的自由惯性不稳定.在摩擦作用下,当气流自南向北通过这一区域时,在绝对涡度零线北侧出现低层辐合中心,有利于低纬度对流发展.然而这种经典的惯性不稳定对流只出现在近赤道地区,对印度季风爆发的直接影响不明显.另一方面在η=0线北侧海平面低压中心南部,尽管该区域大气处于惯性稳定状态,低空西风气流的发展造成明显的纬向地转动量的纬向平流.理论和诊断分析表明,该纬向地转动量平流与南北方向海陆热力差异沿着纬圈非均匀分布密切相关,它引起低空辐合中心出现在印度大陆西南海岸低空急流附近及其北侧,为印度夏季风爆发提供有利的低空环流条件.说明春末夏初阿拉伯海地区低层对流的发展除了受摩擦惯性不稳定影响外,更受到海陆热力差异纬向分布不均匀的强烈影响.此外,在印度夏季风爆发前,对流层高层的南亚高压东伸发展,将中纬度高位涡输送到阿拉伯海上空,形成局地"喇叭口"状流场,产生明显的高空抽吸作用,为夏季风的爆发推进提供了有利的高空背景条件.当其与南北海陆热力对比的纬向差异所强迫的低空辐合中心在印度大陆西南海岸附近垂直耦合引起大气斜压不稳定发展时,激发了印度夏季风爆发.     

伴随冬季北太平洋副热带海洋锋强度变化的大气扰动异常及对中纬度大气平均场的影响

中纬度海洋热力状况异常影响大气主要通过两种途径:非绝热加热的直接强迫作用和大气瞬变涡旋反馈的间接强迫作用,而后者的作用并没有被很好地认识.为了进一步理解间接强迫作用的物理机制,本文利用观测资料分析和区域大气模式模拟,研究了伴随冬季北太平洋副热带海洋锋强度变化的中纬度大气场异常,特别是对流层中高层不同频率的涡旋扰动活动的异常.实际观测和数值试验结果均表明,当北太平洋副热带海表面温度锋偏强时,其上空的中纬度大气经向温度梯度增强;对应此时的大气斜压性增强,且中纬度大气西风急流整层加速;然而增强的大气斜压性并不对应一致性增强的大气涡旋扰动活动.中纬度大气的涡旋扰动根据其生命周期,进一步划分为高频(2~7天)和低频(10~90天)涡旋扰动.研究结果表明偏强的北太平洋副热带海洋锋对应着增强的中纬度大气高频涡旋扰动和减弱的低频涡旋扰动;其中,中纬度大气高频扰动活动的增强,将有利于削弱中纬度大气经向温度梯度,从而减弱中纬度大气斜压性;而高频扰动对纬向风倾向项的正贡献,有利于中纬度急流中心北侧及下游区域的西风加速,形成中纬度西风相当正压结构的增强;大气低频扰动的减弱,对中纬度大气纬向风倾向项产生负贡献,不利于急流的纬向均匀化,而其热力强迫异常则有利于维持中纬度对流层中层大气的经向温度梯度.     

利用卫星温度资料计算风场的方法分析与比较

本文分析和比较了利用卫星温度资料计算水平风场的方法,包括地转风、梯度风和平衡风的计算方法.以DAAC提供的MLS/UARS 1992年12月份的大气温度数据为例,计算了20～55 km高度范围的地转风、梯度风和平衡风,并与ECMWF提供的ERA-40再分析风场资料作了对比和分析,包括12月16日以及12月月平均风场随纬度-高度的变化、风场随经度-纬度的变化、纬圈平均风场随纬度-高度的变化特征和规律.计算结果表明,利用卫星温度观测数据计算的风场与再分析资料的特征和规律基本一致.计算的地转风在高纬地区比梯度风和平衡风大,在中低纬地区三者的差别较小,随着纬度的增大,曲率项的影响也逐渐增大,在高纬地区不可忽略.平衡风在梯度风的基础上还考虑了大气平流项的影响,能更好地反映风场的变化特征,尤其是高纬地区经向风的变化规律.利用平衡风场的计算结果,文章首次定量地计算了平衡方程中各项的大小和比值,分析了各项的贡献和相对重要性.结果表明,重力位势梯度项的贡献最大,并且随着纬度的增大有升高的趋势;曲率项的贡献随着纬度的增大也有增大的趋势,在高纬度地区的比值超过10%;平流项占有一定的比值,其变化范围相对较大,变化规律比较复杂.     

东亚副热带高空急流区中尺度扰动分布特征及可能机理

东亚副热带高空急流强度变化和天气气候密切相关,本文利用WRF模式输出的高时空分辨率模拟资料研究了东亚副热带高空急流区的中尺度扰动特征,并结合动力学理论,揭示了急流区中尺度扰动产生的可能机制.研究表明,急流轴南侧更容易出现水平尺度为几十公里的高频扰动,这些扰动的时空分布具有波动特征.对高空急流区中出现中尺度扰动区域的拉格朗日Rossby数、Richardson数以及绝对涡度的计算发现,高空急流轴南侧中尺度扰动出现的物理机制与非地转平衡流的不稳定发展有关,并且高空急流强度的大尺度整体变化与急流区中尺度扰动变化的累积效应有关.因此,开展高空急流强度变化规律研究不能忽视其内部中尺度动力过程的作用.     

山体遮挡对滇池风生流的影响初探

用二维风生流数值模型模拟滇池湖流运动。滇池在主导风向西南风作用下,假定湖面风场是均匀的,数值模拟的湖流流态与实测湖流结果相差很大。而考虑山体遮挡影响,根据实测湖流期间现有的风情资料,在湖面上构造一非均匀风场,数值模拟结果与实测值基本一致。山体遮挡对滇池风生流的影响是不容忽视的。建议进一步进行湖流和湖面风向、风速监测,并建立过山气流数学模型,深入研究山体遮挡对湖泊风生流的影响。     

大气和海洋中一类中尺度边界急流的形成理论

对一个非地转线性浅水模式的研究表明,当背景场为大尺度径向地转流V_g时,在山地或海岸附近可以形成一类中尺度边界急流,其特征宽度为L_c=L₀（c₀/V_g）,式中c₀=（gH）^1/2为考虑了密度垂直差后的重力波波速,L₀=c₀/f为Rossby变形半径,f为柯利奥来参数。一般来说,L_c的量级在大气和海洋中分别为百公里和几十公里。由于大尺度地转流是形成这类中尺度边界急流的重要条件,因此从这一观点看,在大气中的这类急流,在亚洲东部一般只能在春末或夏季出现,因为在这些季节,在这一地区盛行大尺度的西南或东南季风。对海洋,这类中尺度边界急流可以出现在海洋的东西两岸,不具有明显的季节变化,即是一类半永久持续系统。     

水体浊度对风速、风向及其时间累积效应的响应——以太湖贡湖湾为例

水体浊度是影响水下光场及营养盐循环的关键要素之一,其变化过程与水生生态环境演变关系密切.基于2015-2016年7个时段于太湖贡湖湾内外的金墅和上山村两站点的水体浊度及东山气象站的逐时风场数据,利用分位统计等方法,探讨了风速、风向及时间累积效应对水体浊度的影响.结果表明：在以风场驱动为主要动力来源的大型浅水湖泊中,春、秋两季水体浊度的变化频率高于夏、冬两季,且春季变率更为突出;冬季风场和水体浊度的变率均较夏季明显.风场（包括风速、风向及其累积时间）是影响水体浊度变化的关键因素.其中风速是主要决定性因子;风向对水体浊度有较明显的影响,其通过对风速效应的修正进而影响水体浊度,该修正作用可用三角函数表征;水体浊度变化同时还受前期风场累积的影响,其前期时间累积效应的有效时段为2~10 h.该研究给出了风速、风向及风场累积效应的耦合对水体浊度的影响模型,有助于弄清风场对水体浊度变化的影响机制.     

The processes of tropical semi-geostrophic adaptation

In tropical areas, when the zonal or meridional geostrophic equilibrium is destroyed, inertial gravity wave will be excited by ageostrophic motion, with the dispersion of the wave, a new zonal or meridional geostrophic balance will be established again, and it follows an invariant of semi-potential vorticity. Based on the invariant, it should be pointed out that the direction of the zonal or meridional semi-geostrophic adaptation depends mainly upon the meridional characteristic scale of initial disturbance. For the zonal (meridional) semi-geostrophic adaptation, if the zonal characteristic scale of initial disturbance is big (small) enough, then the adaptation process always represents the mutual adjustment between the pressure field and zonal (meridional) flow.     

电离层突发E层与太阳活动的相关性

通过对195-1990年3个太阳黑子周期期间不同纬度台站的ES层的临界频率f0ES的观测数据进行统计分析,研究了太阳活动对ES层的强度与出现率的影响,主要结果为:f0ES的年平均值在白天与太阳活动呈强正相关,在夜间呈负相关. 同样,ES的出现率的年变化与太阳活动的关系也是白天呈正相关,夜间呈负相关. 进一步分析表明,上述白天ES层临界频率与太阳活动的正相关性的主要贡献来自于常规E层与太阳活动的强烈相关性. 消除了背景E层电子密度的作用后,ES层的强度在白天与太阳活动呈微弱的正相关,在夜间呈负相关,其相关系数有比较规则的周日变化或半日变化.     

Form-drag instability in a barotropic and a baroclinic atmosphere

We discuss the form-drag instability for a quasi-geostrophic channel flow. We first study the characteristics of this instability in a barotropic flow, considering in detail the influence of the meridional scale and discussing which structure of the perturbation zonal flow must be chosen in order to describe properly this instability.We then consider a continuous quasi-geostrophic channel model in which the topography enters only through the bottom boundary condition, and we discuss how in this case the effects of the form-drag are felt by the mean zonal flow through the ageostrophic mean meridional circulation. Because the meridional structure of the perturbation zonal flow cannot simply be extended from the barotropic to the continuous case, we show how to modify it properly.We then study the baroclinic model in the particular case of constant (in the vertical) basic-state zonal flow and show how this case closely resembles the barotropic, demonstrating the barotropic nature of the form-drag instability.Symbols _t is the partial derivative with respect tot. - _x is the partial derivative with respect tox. - _y is the partial derivative with respect toy. - represents the geostrophic stream function. - u is the eastward component of the geostrophic wind. - v is the northward component of the geostrophic wind. - u _a is the eastward component of the ageostrophic wind. - v _a is the northward component of the ageostrophic wind. - w is the vertical component of the wind. - f is the Coriolis parameter=2 sin f _o+y. - f _o is the Coriolis parameter evaluated at mid-latitude. - N is the Brunt-Vaisala frequency. - [A] is the zonal (x) average ofA at constantp andy. - <A> is the horizontal (x andy) average ofA at constantp     

THE MECHANISM OF DIURNAL VARIATION IN CONSECUTIVE APPARENT RESISTIVITY OBSERVATION

Parts of the consecutive apparent resistivity monitoring stations of China have recorded clear diurnal variations. The relative amplitudes of diurnal variations at these stations range from 1.3‰ to 5.8‰. The daily accuracies of apparent resistivity observation are better than 1‰, because the background electromagnetic noise is rather low at these stations. Therefore, the diurnal variations of apparent resistivity recorded at these stations are real phenomena. The diurnal variation shapes can be divided into two opposite types according to their characteristics. One type is that the apparent resistivity data decreases during the daytime but increases during the nighttime(Type 1). The other type is the apparent resistivity data increases during the daytime but decreases during the nighttime(Type 2). There is a correspondence between the diurnal and annual variation patterns of apparent resistivity. For the monitoring direction with diurnal variation of Type 1, the apparent resistivity decreases in summer and increases in winter. However, for the monitoring direction with diurnal variation of Type 2, the apparent resistivity increases in summer and decreases in winter. We take an analysis on the mechanism of apparent resistivity diurnal variation, combining the influence factors of water-bearing medium's resistivity, the electric structure of stations, and the apparent resistivity sensitivity coefficient(SC)theory. Intuitively, diurnal variation of apparent resistivity is caused by diurnal variation of medium resistivity in the measured area. The diurnal variation of medium resistivity will inevitably be caused by the factors with diurnal variation. Among the possible factors, there is diural variation in earth tide and temperature. Our analysis displays that apparent resistivity diurnal variation is not caused by the usually-believed earth tide, but by the ground temperature difference between daytime and nighttime. The earth tide strain is too small to cause remarkable effects on the apparent resistivity data. On the other hand, the daily tide strain has two peak-valley variations, and its phase and amplitude has a period of approximate 28 days. However, the apparent resistivity data do not show these corresponding features to earth tide. Furthermore, the detection range of current apparent resistivity stations is within a depth of several hundred meters. Within this depth range, the medium deformation caused by solid tide can be regarded as uniform change. Therefore, all monitoring directions and all stations will have the same pattern of diurnal variation. In general, the temperature increases in the daytime but decreases in the nighttime. For most water-bearing rock and soil medium, its resistivity decreases as temperature increases and increases as temperature decreases. Diurnal temperature difference affects about 0.4m of soil depth. Therefore, resistivity of this surface thin soil layer decreases in the daytime while increases in the nighttime. Under layered medium model, SC of each layer represents its contribution to the apparent resistivity. For the stations with positive SC of surface layer, apparent resistivity decreases in the daytime but increases in the nighttime. While for the stations with negative SC of surface layer, apparent resistivity diurnal variations display the opposite shape.     

Simulation of Atmospheric Boundary Layer Characteristics during Indian Summer Monsoon using Observations from Monsoon Trough Boundary Layer Experiment at Jodhpur, India

The diurnal structure of the boundary layer during Indian summer monsoon period is studied using a one-dimensional meteorological boundary layer model and the observations collected from the Monsoon Trough Boundary Layer Experiment conducted in 1990 at Jodhpur, India. The model was initialized with the observed temperature profiles at 0530 LST on 17 July, 1990 at Jodhpur and was run for 26 hours. The study is carried out with a geostrophic wind speed of 9.5 m s⁻¹ corresponding to the strong wind simulation. The mean thermodynamic and wind structure simulated by the model are in good agreement with those observed from 30 m tower. The computed surface layer characteristics such as the surface fluxes, TKE and standard deviations of velocity components are found to be reasonably in good agreement with those based on turbulence measurements. The shear and buoyancy budget computed from the model are also compared with the turbulence measurements. The integrated cooling budget in the nocturnal boundary layer is examined.     

Meso-β-scale momentum budget of an evolving severe storm complex during SESAME AVE-V

Data from the SESAME storm-scale network are used in computing the momentum budget of the prestorm, storm, and poststorm environment of a severe storm complex. In the prestorm period geostrophic flow dominates the environment. With progression into the storm period all terms in the momentum equation become important, as a significant ageostrophic component in the momentum field develops. Turbulent effects are estimated as a residual, and the results indicate that they are comparable in magnitude to the other terms. Their effect is to decrease the positive momentum, particularly at levels above 500 mbar, where the vertical motion is the strongest. Vertical profiles of area means ofu andv indicate that the storm is apparently redistributing momentum downwards, thus reducing the mean shear. In the poststorm period the flow once again becomes largely geostrophic, and a maximum in wind speed reappears at upper levels.     

Thermal tides and studies to tune the mechanistic tidal model using UARS observations

Monthly simulations of the thermal diurnal and semidiurnal tides are compared to High-Resolution Doppler Imager (HRDI) and Wind Imaging Interferometer (WINDII) wind and temperature measurements on the Upper-Atmosphere Research Satellite (UARS). There is encouraging agreement between the observations and the linear global mechanistic tidal model results both for the diurnal and semidiurnal components in the equatorial and mid-latitude regions. This gives us the confidence to outline the first steps of an assimilative analysis/interpretation for tides, dissipation, and mean flow using a combination of model results and the global measurements from HRDI and WINDII. The sensitivity of the proposed technique to the initial guess employed to obtain a best fit to the data by tuning model parameters is discussed for the January and March 1993 cases, when the WINDII day and night measurements of the meridional winds between 90 and 110 km are used along with the daytime HRDI measurements. Several examples for the derivation of the tidal variables and decomposition of the measured winds into tidal and mean flow components using this approach are compared with previous tidal estimates and modeling results for the migrating tides. The seasonal cycle of the derived diurnal tidal amplitudes are discussed and compared with radar observation between 80 and 100 km and 40° S and 40°N.     

Validation of AVHRR and TMI-derived sea surface temperature in the northern South China Sea

Satellite-derived SSTs are validated in the northern South China Sea (NSCS) using in situ SSTs from the drifting buoys and well-calibrated sensors installed on Research/Vessel(R/V) Shiyan 3. The satellite SSTs are Advanced Very High Resolution Radiometer (AVHRR) daytime SST, AVHRR nighttime SST, Tropical rainfall Measuring Mission Microwave Imager (TMI) daytime SST and TMI nighttime SST. Availability of satellite SST, which is the ratio that the number of available satellite SST to the total ocean pixels in NSCS is calculated; annual average SST availabilities of AVHRR daytime SST, AVHRR nighttime SST, TMI daytime SST and TMI nighttime SST are 68.42%, 69.99%, 56.57% and 52.80%, respectively. Though the TMI SST availability is nearly constant throughout the year, the variations of the AVHRR SST availability are much larger because of seasonal variations of cloud cover in NSCS. Validation of the satellite-derived SSTs shows that bias±standard deviation (STD) of AVHRR SST is −0.43±0.76 and −0.33±0.79 °C for daytime and nighttime, respectively, and bias±STD of TMI SSTs is 0.07±1.11 and 0.00±0.97 °C for daytime and nighttime, respectively. It is clear that AVHRR SSTs have significant regional biases of about −0.4 °C against the drifting buoy SSTs. Differences between satellite-derived−in situ SSTs are investigated in terms of the diurnal SST cycle. When satellite-derived wind speeds decrease down below 6 m/s, the satellite SSTs become higher than the corresponding in situ SSTs, which means that the SST difference (satellite SST−Buoy SST) is positive. This wind-speed dependence of the SST difference is consistent with the previous results, which have mentioned that low wind speed coupled with clear sky conditions (high surface solar radiation) enhance the diurnal SST amplitude and the bulk-skin temperature difference.     

北京MST雷达探测中间层-低热层观测结果初步分析

北京MST雷达是子午工程建设的国内仅有的两部MST雷达之一,为研究其在中间层-低热层MLT区域的探测能力以及数据可靠性,本文应用北京MST雷达2012、2013两年高模式数据,从数据获取率、与廊坊流星雷达测风对比以及风场时空分布特征三个方面进行初步分析.结果是:(1)数据获取率日变化特征为:白天65~100km均可获取数据,数据获取率的高值区主要集中在70~80km,最大值可达80%;夜间主要集中在80~100km,数据获取率在30%及以下.表明该MST雷达白天可以探测到电离层D层和E层低层,夜间D层消失,只探测到E层低层.季节变化特征为:夏季白天可获取数据的时间和高度区间都比较大,春季次之,冬季最小.夏季白天以及日落后1h内可探测到120km.(2)对北京MST雷达与廊坊流星雷达2012年5月份、80~100km高度区间测量的水平风进行对比分析,二者测风结果在时空分布上有很好的一致性,表明MST雷达探测数据是可靠的.(3)2012年和2013年相应月份平均的纬向风、经向风时空分布特征有较高的一致性,并与HWM07模式结果也基本一致.上述初步分析结果表明,北京MST雷达对中间层-低热层60~120km高度区域已具备较强的探测能力,所得结果将可用于MLT过程揭示与驱动因子研究,并可与该高度上其他探测手段作综合研究.