风沙流中风速廓线的数值模拟与实验验证

如何描述风沙流中被风沙运动改变了的风速廓线是风沙相互作用研究中的关键问题之一.该文中将跃移风沙流视为一种颗粒拟流体,将跃移颗粒对气流产生的阻力用颗粒流的阻力系数来表达,建立了描写两场相互作用的数学模型.颗粒流的阻力系数采用了前人在液态流化床研究中得出的阻力系数表达形式,通过引入一个修正系数,使其适用于风沙流(气-固两相流).将风沙边界层划分为跃移颗粒所产生的阻力不可忽略的内边界层和跃移颗粒阻力可以忽略但受内边界层影响的外边界层,分别建立了内边界层和外边界层的风速廓线表达式.应用所建立的数学模型,根据由风洞实验测定的跃移风沙流的浓度分布和速度分布资料,计算了跃移风沙流中的风速廓线,并与风洞实测结果进行了对比.结果表明,计算风速廓线与实测风速廓线吻合得比较好,在半对数图上均为上凸的曲线,有别于无风沙运动时的直线.跃移边界层外风速分布可较好地用对数函数来描述.对风沙流中风速廓线的进一步分析证实了风沙物理学奠基人Bagnold在其早期观测风沙流中的风速廓线时提出的"结点现象"(Bagnold结),该结点的高度随风速的增大而升高,随颗粒粒径的增大而降低.根据数值模拟和模拟实验,可以认为有风沙运动的动床剪切风速是综合反映风场与跃移层以及地表之间相互作用的物理量.     

Cloud water content effects on computing spectral characteristics of temperature fields and turbulent heat fluxes in the cumulus cloud zones as derived from airborne observations

Analyzed are the earlier obtained data on the dynamic structure of cumulus (convective) clouds in order to estimate cloud water content effects on the air temperature, computed turbulent fluxes, and their spectral characteristics. It is demonstrated that the cloud and precipitation droplets falling to the aircraft temperature sensor provoke an error in temperature measurements. Developed is a method for taking into account these effects and for computing the correct air temperature fluctuations in the cloud, wavelet spectra of the temperature, and wavelet cospectra of heat fluxes. The use of the method enabled to construct a consistent picture of horizontal heat flux distribution in the cumulus zone depending on the wave number and cloud location. It is shown that mesoscale eddies with the scale of more than 500 m are the main factors of heat exchange between clouds and the ambient space, and the role of turbulence consists only in the mixing inside the cloud. The conclusion is made that the temperature adjustment to the water content of the cloud is needed for correct interpretation of the results of aircraft observations of dynamic structure of cumulus clouds.     

Convection model for stratus cloud over a warm water surface

A numerical model is developed to simulate convective stratus cloud formation over the sea. The model is based on quasi-steady state moist plumes advecting over an area of increasing sea-surface temperature with the sea warmer than the air, but it is also a good approximation for non-steady states whenever the model is matched to air-sea temperature differences. Combining the effects of upward transfer of heat and moisture fluxes as well as adiabatic cooling, stratus cloud forms and spreads downward in this field. The depth of the convective field, the sea surface temperature gradient, the liquid water content at cloud top, and the horizontal pressure gradient are the four controlling parameters for the convective field. Alternatively, the wind speed, air-sea temperature difference, and the mixing ratio of the air, derived variables in this treatment, can be taken, with the depth, as the basic parameters.The entity type of convective model used here has the advantage that it models the transport and modification of air parcels and hence provides a method for studying drop size development in stratus clouds. It also uses relationships derived from water tank experiments with plumes and tested in dry convection and so needs no parameters specific to each situation. Its most important feature, however, is that the mean motion of plumes, rather than turbulent diffusion, transports the moisture.The upward growth and erosion of a temperature step increase to produce an inversion can be attributed to liquid water present in haze drops or cloud drops, rather than to turbulent diffusion. Radiative transfer is not a necessary requirement, but may either enhance or slow down the process.     

先进技术微波探测仪(ATMS)云液态水路径算法评估

云液态水路径是气候和天气系统分析的重要参数,可以从卫星观测资料反演获得.目前,基于卫星微波探测仪器观测资料的云水算法可由23.8和31.4 GHz两个通道产生.本研究使用先进技术微波探测仪(ATMS)观测数据,对物理和经验两种算法反演出的云液态水路径进行验证评估.结果表明,经验算法和物理算法都可以描述云液态水在全球洋面...     

广州夏季地基微波辐射计红外传感器观云性能分析

为进一步评估地基微波辐射计红外传感器的观云性能,收集了2017、2018两年5—7月布设在广州野外雷电实验基地的一台MWP967KV型地基微波辐射计红外传感器与一台K/LLX502B型激光测云仪观测的云底高度数据,并利用人工观测的天空状况、云状数据进行分类,在不同云类、天空状况下对地基微波辐射计红外传感器云识别和观测云底高度的性能进行分析。结果表明:①地基微波辐射计红外传感器具有良好的云识别能力,准确率达80.4%,由于观测视角的原因,未能识别出有云存在主要发生在"多云"情况下。②地基微波辐射计红外传感器与激光测云仪所测云底高度相关系数为0.63,有着较好的一致性。③因为观测原理不同,地基微波辐射计红外传感器所测云底高度总是高于激光测云仪,且两部仪器在低云阴天时所测的云底高度一致性要优于中、高云多云。综上所述,地基微波辐射计红外传感器用来识别云、观测云底高度具有一定的可行性,尤其是在低云、"阴天"条件下,有着较好的观云性能。     

Investigations of the development of thunderstorm with hail. Part 3. Numerical simulation of cloud evolution

The three-dimensional nonstationary model of a convective cloud is used for investigating a thunderstorm with hail which developed over Pyatigorsk on May 29, 2012 and produced a severe hailstorm. The values of cloud characteristics (liquid water content, ice content, vertical velocity, etc.) are obtained. The importance ofconsidering wind shear is noted. The simulation results are used to analyze the transformation of precipitation field and the electric charge structure of the analyzed cloud during its development.     

机载热线含水量仪探测数据校验方法

机载含水量仪是目前云中液态水含量唯一的探测仪器,其准确性直接影响人工增雨作业条件判别。基于2015年和2017年四川盆地南部开展的10架次飞机云物理探测试验,考察机载热线含水量仪LWC-100探测数据发现存在异常极大值、负值数量多等问题。通过分析DMT（Droplet Measurement Technologies）公司云粒子探头（cloud droplet probe,CDP）、云粒子图像探头（cloud imaging probe,CIP）、降水粒子图像探头（precipitation imaging probe,PIP）数据,提出对入云前的干功率进行重新计算的3种方法:方法1以CDP探头的不同粒子尺度分档为标准,不低于某一档尺度的粒子数浓度大于0记为入云;方法2以CDP的数浓度大于10 cm-3为入云判定条件;方法3以CDP,CIP,PIP 3种探头探测的粒子数浓度同时大于0记为入云。结果显示:3种方法均有效纠正液态水含量不为0的情况,负值数量也较探测数据明显减少。方法1以不小于5 μm的粒子数浓度大于0记为入云,校验计算得到的液态水含量以负值数量和大小作为评价依据较方法2和方法3更优。     

导线积冰的云雾特征观测研究

导线积冰在贵州山区是常见的气象灾害, 导线积冰增长率与气象云雾因子密切相关。研究选择贵州西部、北部、中部3个积冰区进行了专门外场观测, 观测项目有:云滴谱、含水量、气温、风向、风速、导线上积冰的长径、短径。观测分析表明:贵州云滴浓度、特征平均直径没有显著性地区差异; 云滴平均浓度140~312个/cm3, 云滴算术平均直径、均立方根直径、中值体积直径分别为7.5 μm, 11.3 μm和20 μm; 14 μm以上大云滴浓度平均占云滴总浓度的12.5%, 但对含水量的贡献高达78%, 大滴与导线碰撞效率高, 大滴是导线积冰的关键因子; 云雾含水量平均0.20 g/m3; 在0~-6 ℃之间, 含水量随温度的降低而降低; 南北向导线积冰比东西向的积冰多; 导线积冰增长率与含水量的大小成正比, 风速超过3 m/s时, 积冰增长率与风速有较明显的正比关系。     

河北省冬季低槽冷锋层状云结构特征和可播性分析

2018年1月6日河北省出现一次低槽冷锋天气系统,利用两次云粒子垂直探测资料分析层状云结构特征和演化规律,探讨冬季低槽冷锋系统层状云催化条件和催化时机.结果表明:天气系统初期西南风风速中心发生在6500 m高空时,风速随高度呈不连续分布,层状云云顶温度为-29.2℃,中低云层稀薄;3000 m以上云层粒子基本被冰化,云...     

Experiments on integral length scale control in atmospheric boundary layer wind tunnel

Accurate predictions of turbulent characteristics in the atmospheric boundary layer (ABL) depends on understanding the effects of surface roughness on the spatial distribution of velocity, turbulence intensity, and turbulence length scales. Simulation of the ABL characteristics have been performed in a short test section length wind tunnel to determine the appropriate length scale factor for modeling, which ensures correct aeroelastic behavior of structural models for non-aerodynamic applications. The ABL characteristics have been simulated by using various configurations of passive devices such as vortex generators, air barriers, and slot in the test section floor which was extended into the contraction cone. Mean velocity and velocity fluctuations have been measured using a hot-wire anemometry system. Mean velocity, turbulence intensity, turbulence scale, and power spectral density of velocity fluctuations have been obtained from the experiments for various configuration of the passive devices. It is shown that the integral length scale factor can be controlled using various combinations of the passive devices.     

A New Tethered Balloon-Borne Payload for Fine-Scale Observations in the Cloudy Boundary Layer

A new scientific payload is introduced for fine-scale measurements of meteorological (wind vector, static air temperature, humidity, and air pressure) and microphysical (aerosol particles and cloud droplets) properties, suspended below a tethered balloon. The high resolution sensors and the tethered balloon are described. Measurements in a lifted fog layer from a first field campaign are presented.The detailed investigation of the fog/haze and the temperature inversion layer demonstrates the damping influence of the fog on temperature fluctuations, while thewind fluctuations are significantly decreased by theevolving temperature inversion, whichwas about 30 m above the fog layer.From spectral analysis the noise floors of the high-resolution sensors are determined to10^-6 kg m^-3 for the LWC (liquid water content) and 4 mK for the fast temperature sensor (UFT-B). The correlation betweentemperature and LWC structures in shallow haze layers is investigated. The release of latent heat and the corresponding warming in the haze of about 0.1 K could be quantified.     

The role of convection in surface property and velocity fluctuations

Time series of temperature, humidity and horizontal wind speed are presented from data collected at two tower sites during the 1968 Barbados Experiment. Marked and periodic fluctuations on the convective scale are evident in the traces. It is postulated that these fluctuations are due to moderate cumulus convection. Estimates show that departures in temperature and humidity at the surface must be due to downward mixing from near or above the convective cloud base. Such cloud layer-subcloud layer mixing must change the thermodynamic character of the subcloud layer. This in turn suggests that cloud convection may play an important part in governing the transport of energy across the air-sea interface.     

降雨强度对激光雷达测风精度的影响研究

多普勒激光雷达在大气、环境以及风能等领域得到越来越广泛的应用,但对于复杂天气下多普勒激光雷达的适用性仍然有待深入研究。为此本研究采用2020年8—10月期间位于福建三沙的地基多普勒激光雷达与边界层高塔所搭载的超声风温仪观测的风场数据进行对比,发现多普勒激光雷达在水平风速、风向方面具有稳定的高精度探测性能,与超声风温仪之间相关系数达到了0.948和0.984。相比之下,激光雷达垂直风速的探测误差较大,与超声风温仪之间相关系数仅有0.353。研究发现,降雨强度与激光雷达垂直风速误差呈正相关关系,强降雨下垂直风速偏差最大可达到9 m/s。     

有云环境下MODIS亮温资料的变分同化Ⅰ——方案设计与理想试验

云对红外辐射传输过程有十分重要的影响,在资料同化过程中考虑云的作用,不仅可以改进大气参数的同化效果,还可以利用红外资料调整部分云参数,减小云参数的初始误差。在GRAPES-3DVAR（Global and Regional Assimilation and Prediction Enhanced System,全球/区域同化预报系统）基础上,增加云水含量、云冰水含量和云量作为同化系统控制变量,针对晴空、部分有云和完全有云等环境对MODIS（Moderate Resolution Imaging Spectroradiometer,即中分辨成像光谱仪）的16个气象通道亮温进行了同化理想试验,结果表明当背景场模拟的亮温低于观测亮温时,分析场通过增温、减湿、减少云水含量、云冰水含量、云量可以达到升高模拟亮温的目的;反之可以降低模拟亮温;晴空环境下对温度、比湿的调整符合MODIS仪器的设计特点;有云环境下对云层以下的影响减弱。理想试验证实了在红外辐射资料同化过程中将云参数和大气参数同时作为同化系统控制变量,可以利用红外资料调整云参数和常规气象要素场,提高资料的利用率。     

Preliminary Study on Direct Assimilation of Cloud-affected Satellite Microwave Brightness Temperatures

Direct assimilation of cloud-affected microwave brightness temperatures from AMSU-A into the GSI three-dimensional variational(3D-Var) assimilation system is preliminarily studied in this paper. A combination of cloud microphysics parameters retrieved by the 1D-Var algorithm(including vertical profiles of cloud liquid water content, ice water content, and rain water content) and atmospheric state parameters from objective analysis fields of an NWP model are used as background fields. Three cloud microphysics parameters(cloud liquid water content, ice water content, and rain water content) are applied to the control variable. Typhoon Halong(2014) is selected as an example. The results show that direct assimilation of cloud-affected AMSU-A observations can effectively adjust the structure of large-scale temperature, humidity and wind analysis fields due to the assimilation of more AMSU-A observations in typhoon cloudy areas, especially typhoon spiral cloud belts. These adjustments, with temperatures increasing and humidities decreasing in the movement direction of the typhoon,bring the forecasted typhoon moving direction closer to its real path. The assimilation of cloud-affected satellite microwave brightness temperatures can provide better analysis fields that are more similar to the actual situation. Furthermore, typhoon prediction accuracy is improved using these assimilation analysis fields as the initial forecast fields in NWP models.     

The variations of the statistics of wind,temperature and humidity fluctuations with stability

Measurements of the turbulent fluctuations of wind, temperature and humidity were made in the atmospheric surface layer. The statistics of the fluctuations were investigated in both the time and frequency domains. The vertical wind, temperature and smaller-scale horizontal wind fluctuations appear to obey the Monin-Obukhov similarity hypothesis. The humidity fluctuations were found to be governed by a humidity flux stability parameter rather than the normal Monin-Obukhov length.     

The retention of ammonia and sulfur dioxide during riming of ice particles and dendritic snow flakes: laboratory experiments in the Mainz vertical wind tunnel

Laboratory experiments were carried out in the Mainz vertical wind tunnel to determine the retention of the trace gases ammonia and sulfur dioxide dissolved in supercooled cloud droplets during riming. The conditions during riming were similar to the ones in atmospheric mixed phase clouds: temperatures from ?18 °C to ?5 °C, liquid water contents between 1 and 1.5 g m^?3, liquid drop radii between 10 and 20 μm, liquid phase concentrations from 1 to 22 mg/l. As collectors, floating ice particles and snow flakes with diameters between 6 mm and 1.5 cm were used. After riming the retention coefficients, i.e. the fractions of the species which remained in the ice phase after freezing were determined. Retention coefficients lying between 0.1 and 1.0 were measured depending on the solubility and dissociation of the trace gas, liquid phase concentration, ambient air temperature, and shape of rimed collector. This can be explained from the chemists’ point of view by the effective Henry’s law constant of the species and physically with the rate of latent heat removal from the rimed collector during freezing. Parameterizations derived from the different experimental cases describe the retention coefficients as a function of temperature. In general, an average retention of ammonia of 92?±?21 % was determined independently of liquid phase concentration while mean values for sulfur dioxide were 53?±?10 % at low liquid phase concentrations and 29?±?7 % at high liquid phase concentrations.     

Wave-like wind fluctuations observed in the stable surface layer over a plant canopy(2)

Observations of wind velocity and air temperature fluctuations were made in the nocturnal surface inversion layer over a sorghum field. Wave-like fluctuations of temperature and wind velocity with a period of 15–20 min were observed for about 2 hours, 3 to 5 hours before sunrise. Wave-like fluctuations of temperature were observed in the air layer above and within a plant canopy and were most noticeable at the top of the plant canopy. Spectral analysis of temperature and wind velocity fluctuations reveals a separation of energy into wave-like and turbulent fluctuations. Cospectral analysis shows that for both momentum and heat, vertical transports are partitioned almost equally in the frequency ranges characteristic of wave-like and turbulent fluctuations. This suggests wave- turbulence interactions at low frequencies in the air layer near a plant canopy.