On the conception ‘Fair weather condition’ in atmospheric electricity

Measurements of atmospheric electrical and meteorological parameters during different meteorological conditions indicate that the use of the conception Fair weather condition in atmospheric electricity is discussable. Fair weather contains a very broad stability range, from very unstable to strong stable stability of the atmosphere. For turbulent fluctuations of the electric parameters (the most local variations) the variations are determined by the micrometeorological processes for all stability conditions.These fluctuations represent frequencies greater than one period per four minutes. For lower frequencies (less local variations), however, the stability dependency increases. During stable conditions the electric field and vertical current density were nearly wholly influenced by the charges and their transfer in the nearest layer. During near-neutral and unstable conditions the electrical parameters were influenced by more separated sources. Measurements of how well Ohm's law was fulfilled also indicate the difficulties by using the conception fair weather. The measurements also indicate the importance of taking the convection current density into consideration in studies of the electric charge transfer in the atmosphere.In the more large scale of variations measurements of the electric field by radiosoundings show that 88% of the ionospheric potential is derived from the troposphere, where the meteorological processes are of fundamental character for the atmospheric electrical phenomena. The relatively great stability of the diurnal variation of the large scale or global electric field is also valid for the meteorological processes in this scale of variations.     

宁夏3～7天天气预报逐日滚动制作系统

在建立ＭＯＳ预报系统的基础上,充分利用实时资料库中所提供的各种气象信息,开发应用多种预报方法以及有关实况、气候背景资料、对ＭＯＳ预报结果逐步进行人机交互订正,最后生成对外发布的宁夏各地３￣７天中期天气预报。     

Numerical weather prediction relevant to the monsoon problem

In this short paper we have identified some of the modelling groups that have the capability of simulating or carrying out short range numerical weather prediction over the monsoon belt. We have next outlined some of the important and desirable ingredients for a multilevel primitive equation model over the tropics, with most of the emphasis on the present version of Florida State University's Tropical Prediction Model. Finally, we present briefly some important results based on the present version of our prediction models that relate to the NWP efforts over the monsoon belt. Here we have identified the importance of mountains, convection, the radiative heating balance of the earth's surface, and the planetary boundary layer over the Arabian Sea.     

Prediction of Space Weather Using an Asymmetric Cone Model for Halo CMEs

Halo coronal mass ejections (HCMEs) are responsible of the most severe geomagnetic storms. A prediction of their geoeffectiveness and travel time to Earth’s vicinity is crucial to forecast space weather. Unfortunately, coronagraphic observations are subjected to projection effects and do not provide true characteristics of CMEs. Recently, Michalek (Solar Phys. 237, 101, 2006) developed an asymmetric cone model to obtain the space speed, width, and source location of HCMEs. We applied this technique to obtain the parameters of all front-sided HCMEs observed by the SOHO/LASCO experiment during a period from the beginning of 2001 until the end of 2002 (solar cycle 23). These parameters were applied for space weather forecasting. Our study finds that the space speeds are strongly correlated with the travel times of HCMEs to Earth’s vicinity and with the magnitudes related to geomagnetic disturbances.     

The challenge of predicting the occurrence of intense storms

Geomagnetic super-storms of October and November 2003 are compared in order to identify solar and interplanetary variables that influence the magnitude of geomagnetic storms. Although these superstorms (D_ST < -300 nT) are associated with high speed CMEs, their DST indices show large variation. The most intense storm of November 20, 2003 (D_St∼ - 472 nT) had its source in a comparatively small active region and was associated with a relatively weaker, M-class flare, while the others had their origins in large active regions and were associated with strong X-class flares. An attempt has been made to implement a logistic regression model for the prediction of the occurrence of intense/superintense geomagnetic storms. The model parameters (regression coefficients) were estimated from a training data-set extracted from a data-set of 64 geo-effective CMEs observed during 1996–2002. The results indicate that logistic regression models can be effectively used for predicting the occurrence of major geomagnetic storms from a set of solar and interplanetary factors. The model validation shows that 100% of the intense storms (-200 nT < D_St < -100 nT) and only 50% of the super-intense (DST < -200 nT) storms could be correctly predicted.     

气象无线传感网观测节点的设计与实现

针对传统自动气象站对电力和通讯基础设施依赖性强,应用环境受到限制的问题,设计并实现了一种基于无线传感器网络的气象观测节点。气象观测节点的硬件系统以CC2530芯片为核心,使用锂电池供电,通过模拟和数字接口连接气象传感器,射频部分工作在2.4 GHz。软件系统以TinyOS操作系统为基础,开发了基于LEPS协议的多跳路由协议和气象传感器驱动程序。在野外环境中对气象观测节点的功耗、通信距离、传感器及组网性能进行了测试。测试结果表明,气象观测节点在没有电力和通信基础设施的环境中能够形成一个稳定的多跳自组织数据采集与传输网络,适合在高山、海岛、沙漠等艰苦地区进行部署和应用。     

伴随对流层中低层气温持续下降的雪转雨过程分析

利用欧洲中期天气预报中心（ECMWF）0.25°×0.25°分辨率细网格模式产品、探空观测资料和风廓线雷达等资料,对2014年2月18日浙江嘉兴雨雪天气过程中降水相态先由雨转雪、再由雪转雨的变化条件进行了分析,并对ECMWF细网格模式产品进行了预报性能检验,结果表明：模式形势预报准确,但未能预报出雪转雨过程。在对流层中低层气温持续降低的情况下,水汽凝结高度不同是造成两次相态转换的主要原因。上午垂直运动加强,水汽充沛,降水粒子的凝结高度高,足以形成大的雪花,在较低的零度层高度以下降落时不至于融化;下午垂直运动减弱,水汽集中在低层,尽管这一高度层的气温在-3～-2 ℃,但是不足以凝结成固态降水,同时地面气温受海上暖平流影响而回升,因此降水相态由雪转雨。     

虚拟仪器在天气雷达发射机脉冲测试中的应用

随着我国新一代天气雷达（CINRAD）的广泛布网,雷达的维修维护工作显得日益繁重。利用虚拟仪器测试系统对雷达重要参数指标测试是一种便捷有效的方式。本文从发射机射频脉冲包络以及其测量方法的介绍出发,搭建一套基于PXI(PCI eXtensions for Instrumentation)模块化仪器的虚拟仪器系统,采用LabVIEW(Laboratory Virtual Instrument Engineering Workbench)软件编程实现参数测试测量功能,通过实验完成了对脉冲包络的重要参数测试。虚拟仪器测试系统与传统仪器对比测量结果,验证了该测试系统的可靠性。     

基于Google Maps API的船舶自动站监控Web设计

简要介绍了Google Maps JavaScript API技术,并着重阐述了其作为主流的WebGIS技术在船舶自动气象站监控页面设计中的应用,包括：通过JavaScript和AJAX技术请求远程数据服务器获取气象数据、状态数据及GIS信息等,并将返回的JOSN格式数据加载到Google Map上,同时通过Google Maps JavaScript定制化船舶图标并对加载的船舶轨迹进行渲染,使用户需要的监控信息更加直观地显示在监控页面上。本文结果已成功应用到广东省气象局设备全网监控系统之中。     

广西“回南天”发生特征及预报着眼点

利用常规MICAPS数据资料,对广西“回南天”发生特征及预报着眼点进行分析研究。结果表明：(1) “回南天”发生在春季低温阴雨后期迅速回暖的转变过程中;(2) 有利“回南天”发生的环流形势共同特征为: 500 hPa我国北支西风气流转为纬向环流,南支槽加深并向东移动,850 hPa有西南急流,地面冷空气减弱,华南静止锋减弱北抬;(3) T lnp探空曲线中,锋区逆温层上限持续下降到850 hPa以下,次日落地消失;(4) 室外空气露点温度高于室内物体表面温度,暖湿空气中的水汽入室遇冷后,在物体表面发生相变凝结;(5) 根据前一天最低气温、当天露点温度及升幅,将“回南天”划分为重度、中度和轻度3个等级;(6)“回南天”有冷性结束和暖性结束两种方式。所得成果可应用到预报业务中。