Tropospheric Wet Refractivity Tomography Based on the BeiDou Satellite System简

This paper presents a novel approach for assessing the precision of the wet refractivity field using BDS （BeiDou navigation satellite system） simulations only,GPS,and BDS＋GPS for the Shenzhen and Hongkong GNSS network.The simulations are carried out by adding artificial noise to a real observation dataset.Instead of using the δ and σ parameters computed from slant wet delay,as in previous studies,we employ the Bias and RMS parameters,computed from the tomography results of total voxels,in order to obtain a more direct and comprehensive evaluation of the precision of the refractivity field determination.The results show that：（1） the precision of tropospheric wet refractivity estimated using BDS alone （only 9 satellites used） is basically comparable to that of GPS; （2） BDS＋GPS （as of current operation） may not be able to significantly improve the data＇s spatial density for the application of refractivity tomography; and （3） any slight increase in the precision of refractivity tomography,particularly in the lower atmosphere,bears great significance for any applications dependent on the Chinese operational meteorological service.     

The Kwinana Coastal Fumigation Study: III – Meteorological and Turbulence Modelling on Selected Days

The Kwinana Coastal Fumigation Study took place inearly 1995 at Kwinana near Perth in Western Australia.The study involved surface and elevated meteorologicaland plume fumigation measurements in sea-breeze flowsnear the coast, and has yielded a comprehensive dataset that is suitable for assessing meteorological andplume dispersion models. In this paper, wesimulate the meteorology and turbulence on four casestudy days, and compare model results with thedetailed surface and aircraft measurements takenduring the study. These days had surface synopticwinds ranging from southerly to northeasterly, witheither stable or near-neutral temperature profilesover the sea.The model used was based on that developed by Hurley(Boundary-Layer Meteorol. 83, 43–73, 1997), but extended here to allow domain nesting,optional non-hydrostatic simulations, and a vegetativecanopy at the surface. The model was forced bystandard weather service synoptic data, and thesimulations have captured the essential features ofthe strong sea-breeze circulation observed on thesedays. The boundary-layer structure over the sea waspredicted to be near-neutral or stable in agreementwith the observations on the particular day. The windspeed and direction in the sea-breeze flow weregenerally predicted well, although the predictedmaximum inflow speed over the land was a little toohigh. The potential temperature was generallyover-predicted, but temperature gradients agreed well.Predicted turbulence levels in the bottom-half of thethermal internal boundary layer compared well to theobservations, but under-estimated the observations inthe in the upper half of this layer. Near-surfacemeasurements of meteorological variables werepredicted well over the entire diurnal cycle, althoughthe predicted sea-breeze onset was generally tooearly. A quantitative model evaluation for thenear-surface sites showed the model performance to bebetter than that from other studies, with Index ofAgreement (IOA) values of 0.8 (wind speed) and 0.96(temperature), compared with values of 0.5–0.6 (windspeed) and 0.33 (temperature) obtained from otherstudies.The availability of new higher resolution synopticanalyses should obviate the lack of spatial andtemporal resolution in synoptic inputs. Theincorporation of these higher resolution synopticinputs and new parameterisation schemes should improvefuture model performance.     

Local meteorology in a northern Himalayan valley near Mount Everest and its response to seasonal transitions

An automatic weather station(AWS) has been installed at the Qomolangma Station of the China Academy of Sciences(QOMS) since 2005, in a northern Himalayan valley near Mount Everest, with an altitude of 4,270 m a.s.l.. Nine years of meteorological records(2006–2014) from the automatic weather station(AWS) were analyzed in this study, aiming to understand the response of local weather to the seasonal transition on the northern slopes of Mount Everest, with consideration of the movement of the subtropical jet(STJ) and the onset of the Indian Summer Monsoon(ISM). We found:(1) Both the synoptic circulation and the orography have a profound influence on the local weather, especially the local circulation.(2) Southwesterly(SW) and southeasterly(SE) winds prevail alternately at QOMS in the afternoon through the year. The SW wind was driven by the STJ during the non-monsoon months, while the SE was induced by the trans-Himalayan flow through the Arun Valley, a major valley to the east of Mount Everest, under a background of weak westerly winds aloft.(3) The response of air temperature(T) and specific humidity(q) to the monsoon onset is not as marked as that of the nearsurface winds. The q increases gradually and reaches a maximum in July when the rainy period begins.(4) The alternation between the SW wind at QOMS and the afternoon SE wind in the pre-monsoon season signals the northward shift of the STJ and imminent monsoon onset. The average interval between these two events is 14 days.     

基于潜在语义信息的城市功能区识别————广州市浮动车GPS时空数据挖掘

随着中国城市化进程的不断推进和深入,城市内部空间结构正发生不断的变化.城市内部形成的不同功能区标识研究,对城市结构理论以及政策制定,资源配置等方面具有非常重要的意义.这些不同的功能区包括住宅区,工业区,教育区以及办公区等.本文以大数据为依托,重点研究城市功能区的特点和分布状态,选取广州市6个区为样本,以最新道路网络为分割依据把研究样本分为439个区域.对历时一周的海量浮动车(GPS)数据以及兴趣点数据采用时空语义挖掘方法,建立潜在的狄利克雷模型(LDA)以及狄利克雷多项式回归模型(DMR);通过OPTICS聚类方法对不同模型的结果进行聚类,进而利用POI类别密度,居民出行特征等方法进行分区结果识别.同时,参考百度地图的地理信息,将研究得到的广州市功能分区结果与广州市城镇用地现状图,居民日常出行特征进行对比验证分析.研究表明,该方法基本能识别出具明显特征的城市功能区,如成熟居住区,科教文化区,商业娱乐区,开发区等.识别出的广州市不同类型的功能区呈现了以居住区和商业区为主导,其他类型功能区围绕其展开的特点.研究证明,利用大规模,高质量的个体时空数据开展人们移动行为和日常活动组织及社会空间的研究,能从一个新的视角揭示城市功能区的形成及其机制.     

上海短历时强降水的雷达和闪电活动特征

用雷达反射率及其导出产品(分层垂直液态水含量(VIL)、分层平均反射率等)与闪电和大气温度层结资料,通过对降水系统时间演变、反射率垂直结构和闪电活动的分析,将上海2010年6—11月的短时强降水(1 h雨量≥20 mm)分为层状暖云型、对流暖云主导型和对流冷云主导型。(1) 与雨强密切相关的关键因子是:低层(0 ℃层以下、高度在0～1 km、0～2 km、0～3 km和0～4 km)的VIL、低层(高度在1～2 km、2～3 km和3～4 km)的平均反射率和整层最大反射率;(2) 不同类型强降水中,高层(高度在0 ℃、-10 ℃和-20 ℃层以上)的VIL、整层VIL、高层(高度在5～6 km、6～7 km和7～8 km)的平均反射率、总地闪和负地闪频次这5个因子对雨强的作用各有不同;(3) 对应不同降水类型的平均反射率垂直廓线具有不同的垂直结构和发展演变特征;(4) 在三类强降水中,对流冷云主导型的雨强与总地闪和正地闪的相关性最好。      

GPS授时服务系统在气象业务中的应用

介绍了利用GPS的时间信息组建内部局域网的授时服务系统的方法:首先通过微控制器(MCU)将GPS接收器送出的二进制信息转换成各种不同的格式输出供服务器调用,然后通过基于网络时间协议的服务器/客户端时间校对软件,实现内部局域网计算机的自动对时.此外,针对GPS失锁或出现异常不可用的情况,提出了系统应对处理方法.     

加强气象依法行政促进气象事业发展

随着“依法治国”方略在气象部门的贯彻，作为气象行政执法主体机关，气象部门应如何搞好依法行政，保证气象事业快速有序发展，从而更好地为经济社会服务，本文从目前气象依法行政工作中面临的主要问题出发，结合市(地)气象部门的实际情况，提出了今后气象依法行政要做好的五方面工作。     

基于地基GPS遥感的大连地区大气水汽总量变化特征

基于大连地区地基GPS综合观测网遥感反演了大气水汽总量（PWV）,分析了大连地区PWV空间变化、逐月变化和日变化特征以及PWV变化与降水的关系,并利用大连本站2005-2011年的探空资料拟合了大连地区地面温度和大气加权平均温度的关系。结果表明：大连本站的PWV与探空积分的水汽含量相关系数达到0.988,均方根误差为2.5 mm。大连地区PWV南北分布比较均匀;PWV最大的月份为7-8月,最大月平均值约40 mm,PWV最小的月份为1月,最小月平均值小于4 mm;大连地区PWV春季和冬季日变化幅度约0.5 mm,夏季和秋季日变化幅度约1.3 mm。夏季和秋季的PWV日变化呈单峰型,春季和冬季的PWV日变化呈多峰型; 在降水发生前8 h 大气水汽总量有明显增加过程,对降水的发生有指示作用。