2011年全球重大天气气候事件及其成因

2011年,全球气温偏高,为有观测记录以来的第十个暖年,是近60年来出现拉尼娜事件的年份中全球气温最高的一年。2011年,全球热带气旋活动较常年偏少。4月,一次拉尼娜事件结束,9月又一次拉尼娜事件生成。年初,低温、寒流席卷亚洲大部,暴风雪频繁袭击北美地区。西欧和中国东部出现严重春旱。夏季,非洲东部经历了20世纪80年代以来最严重的干旱,而东南亚、巴基斯坦和中南美洲洪涝灾害严重。全球极端偏暖事件主要出现在欧洲西部和西北部、南亚南部、东亚中西部、北美东南部等地;极端偏冷事件主要出现在东亚、澳大利亚、非洲南部和美国东北部和西部等地。而南美中东部、东南亚及中国东南部、日本、澳大利亚北部、非洲西部等地出现了极端强降水事件。研究发现,2010／2011年拉尼娜事件和台风活动是导致东南亚洪涝出现的重要原因,而巴基斯坦洪涝主要与印度洋正位相偶极型海温分布有关。     

S波段多普勒天气雷达非降水气象回波识别

在气象条件为晴空或有云但无降水的情况下,在雷达站附近经常可观测到大面积的非降水气象回波,这些回波对定量估测降水和雷达资料同化效果产生重要影响。为了有效识别这些非降水回波,该文发展了基于模糊逻辑识别和回波分块的非降水气象回波识别算法 (NPMDA)。该文首先利用地面和卫星资料为标准,提出了非降水回波的确定标准,并利用北京SA雷达,对非降水气象回波特性进行了统计分析,得到了隶属函数。在非降水回波识别时首先采用SCIT算法将回波组合成片,然后对整个PPI进行初步的判断。对不能初步判断为降水的PPI,采用模糊逻辑的方法计算成片回波的属性值,依据成片回波的属性值得到片内回波逐点识别时的阈值,从而实现了回波的动态阈值识别。结果表明:对大部分非降水气象回波识别效果较好,对较强降水回波误判较少,弱降水回波有时会出现一定的误判。与NCAR使用的ICADA方法相比,NPMDA方法能明显提高非降水回波的识别率,减少降水回波的误判率。     

长治高温气候特征及分析预报

通过对长治市1977年-2004年6月-8月出现≥35℃的高温天气的地理分布特征、时间和强度等统计研究,给出了高温天气的气候背景。从500hPa高空形势分析,归纳出造成高温天气的四种主要环流形势（两槽一脊型、纬向环流型、大陆暖高型、副高控制型）;分析了风、云、降水等气象要素与高温天气的内在联系。通过850hPa高温预报指标站的选取及数值预报产品的统计分析,给出了高温天气的综合性预报模型。     

EFFECTS OF SEA SURFACE TEMPERATURE AND ITS DIURNAL VARIATION ON DIURNAL VARIATION OF RAINFALL: A PARTITIONING ANALYSIS BASED ON SURFACE RAINFALL BUDGET

The effects of sea surface temperature(SST) and its diurnal variation on diurnal variation of rainfall are examined in this study by analyzing a series of equilibrium cloud-resolving model experiments which are imposed with zero large-scale vertical velocity.The grid rainfall simulation data are categorized into eight rainfall types based on rainfall processes including water vapor convergence/divergence,local atmospheric drying/moistening,and hydrometeor loss/convergence or gain/divergence.The rainfall contributions of the rainfall types with water vapor convergence are insensitive to the increase in SST from 27°C to 29°C during the nighttime,whereas they are decreased during the daytime.The rainfall contributions of the rainfall types with water vapor convergence are decreased as the SST increases from 29°C to 31°C but the decreases are larger during the nighttime than during the daytime.The rainfall contributions of the rainfall types with water vapor convergence are decreased by the inclusion of diurnal variation of SST with diurnal difference of 1°C during the nighttime,but the decreases are significantly slowed down as the diurnal difference of SST increases from 1°C to 2°C.The rainfall contributions of the rainfall types with water vapor convergence are insensitive to the inclusion of diurnal variation of SST during the daytime.     

VALIDATION OF NEAR-SURFACE WINDS OBTAINED BY A HYBRID WRF/CALMET MODELING SYSTEM OVER A COASTAL ISLAND WITH COMPLEX TERRAIN

The results from a hybrid approach that combines a mesoscale meteorological model with a diagnostic model to produce high-resolution wind fields in complex coastal topography are evaluated.The diagnostic wind model(California Meteorological Model,CALMET) with 100-m horizontal spacing was driven with outputs from the Weather Research and Forecasting(WRF) model to obtain near-surface winds for the 1-year period from 12 September 2003 to 11 September 2004.Results were compared with wind observations at four sites.Traditional statistical scores,including correlation coefficients,standard deviations(SDs) and mean absolute errors(MAEs),indicate that the wind estimates from the WRF/CALMET modeling system are produced reasonably well.The correlation coefficients are relatively large,ranging from 0.5 to 0.7 for the zonal wind component and from 0.75 to 0.85 for the meridional wind component.MAEs for wind speed range from 1.5 to 2.0 m s-1 at 10 meters above ground level(AGL) and from 2.0 to 2.5 m s-1 at 60 m AGL.MAEs for wind direction range from 30 to 40 degrees at both levels.A spectral decomposition of the time series of wind speed shows positive impacts of CALMET in improving the mesoscale winds.Moreover,combining the CALMET model with WRF significantly improves the spatial variability of the simulated wind fields.It can be concluded that the WRF/CALMET modeling system is capable of providing a detailed near-surface wind field,but the physics in the diagnostic CALMET model needs to be further improved.     

豫北一次局地雹暴天气的预警特征和触发机制

利用常规气象观测、多普勒雷达、卫星资料和区域自动站观测资料及NCEP再分析资料,对2011年6月11日豫北局地强对流天气的预报预警特征和触发机制进行分析。结果表明：局地强对流天气是在东北冷涡背景下产生的,高低层中尺度影响系统(槽、切变线、大风速轴)交汇处右侧是强对流发生潜势区。局地强对流天气发生前,CAPE较大,0-6 km垂直风切变达到中等偏强,有利于超级单体的形成和发展。高空冷平流南侵、低层暖平流北上,有利于大气对流不稳定度进一步加大。中-β尺度强对流云团在东北冷涡槽底后部形成,其发展演变对局地强对流天气预报预警有参考意义。强对流回波经历了细胞状、带状发展期和块状减弱期。回波带南侧形成的超级单体造成了局地强风雹天气,冰雹发生时伴有“三体散射”现象。冷空气和地面辐合线是强对流天气的主要触发机制;地面辐合线对强对流天气还有提示作用。     

INTEX-B NO2排放源在中国地区的应用与检验

将INTEX-B排放源应用到空气质量模型Model3-CMAQ中,对中国地区对流层NO₂的浓度分布进行了数值模拟,并与OMI卫星对流层NO₂资料进行了对比和验证。结果表明：将INTEX-B排放源应用到Model3-CMAQ模式,模拟的NO₂浓度在中国地区的分布、季节变化规律与卫星资料所得结果一致。敏感性试验表明,工业及电厂排放对NO₂的浓度贡献最大,而交通排放的贡献相对较小,两种排放均主要集中在京津、长江三角洲等经济发达地区。     

基于ArcGIS Engine的矢量地理数据数字水印系统的设计和实现

用VS2005(C++)和ArcGIS Engine开发矢量地理数据数字水印系统。首先介绍矢量地理数据数字水印系统的实现方案;然后阐述基于ArcGIS Engine读取矢量数据的关键技术;最后实现对Shapefile数据格式的水印嵌入和提取操作,并给出可视化比较结果。系统的实现有助于降低开发难度,提高数字水印系统开发的灵活性和开放性。     

监控视频中目标车辆速度被动式测量方法研究

对事先没有安置测速装置,事后仅通过监控视频进行处理的目标车辆速度被动式测量的方法进行相关研究。阐述被动式目标车辆速度测量的概念、基本原理;视频画面中点、线、面之间的关系;被动式目标车辆速度测量时方向与标定点的选择;不同监控点之间目标车辆的平均速度测量和同一监控点中目标车辆速度测量的方法等。     

Two-step method for the determination of the differential code biases of COMPASS satellites

The differential code bias (DCB) in satellites of the Global Navigation Satellite Systems (GNSS) should be precisely corrected when designing certain applications, such as ionospheric remote sensing, precise point positioning, and time transfer. In the case of COMPASS system, the data used for estimating DCB are currently only available from a very limited number of global monitoring stations. However, the current GPS/GLONASS satellite DCB estimation methods generally require a large amount of geographically well-distributed data for modeling the global ionospheric vertical total electron content (TEC) and are not particularly suitable for current COMPASS use. Moreover, some satellites with unstable DCB (i.e., relatively large scatter) may affect other satellite DCB estimates through the zero-mean reference that is currently imposed on all satellites. In order to overcome the inadequacy of data sources and to reduce the impact of unstable DCB, a new approach, designated IGGDCB, is developed for COMPASS satellite DCB determination. IGG stands for the Institute of Geodesy and Geophysics, which is located in Wuhan, China. In IGGDCB, the ionospheric vertical TEC of each individual station is independently modeled by a generalized triangular series function, and the satellite DCB reference is selected using an iterative DCB elimination process. By comparing GPS satellite DCB estimates calculated by the IGGDCB approach based on only a handful (e.g., seven) of tracking stations against that calculated by the currently existing methods based on hundreds of tracking stations, we are able to demonstrate that the accuracies of the IGGDCB-based DCB estimates perform at the level of about 0.13 and 0.10?ns during periods of high (2001) and low (2009) solar activity, respectively. The iterative method for DCB reference selection is verified by statistical tests that take into account the day-to-day scatter and the duration that the satellites have spent in orbit. The results show that the impact of satellites with unstable DCB can be considerably reduced using the IGGDCB method. It is also confirmed that IGGDCB is not only specifically valid for COMPASS but also for all other GNSS.