利用GCM模式对全球雷电活动的模拟分析

将修正的参数化方案嵌套入美国马里兰大学海-陆-气研究中心的全球大气环流谱模式(COLAGCM),建立了可用于全球雷电活动模拟与估测的模式系统.通过对模式输出与实况资料的对比,检验其气候模拟性能.虽然模式的分辨率较低但经过较长时间积分,仍可再现实况资料的主要特征.性能良好,计算稳定,且因时间步长较大可大大节省机时.耦合模式系统经长时间的积分后,模拟的多年平均的全球雷电频次时空分布及变化与观测分析较一致.全球范围内每秒钟平均有79次的雷电发生,陆海比为12.2.多发生在北半球夏季且具明显的季节变化特征.     

沉积有机质激光热裂解色谱质谱探针分析技术的尝试及其前景探讨

激光热裂解－色谱－质谱分析方法具有从技术层面上融合分子地球化学方法和有机岩石学方法的潜能。通过抚顺煤镜质组分和树脂体的研究实例，介绍了激光热裂解－色谱－质谱探针分析的基本原理及测试方法。抚顺煤显微组分的微区热裂解产物特征中，镜质组和树脂体热解产物的正烷烃、烷基萘和四氢化萘的总体面貌相似，但树脂体中正烷烃含量较低，而烷基四氢化萘明显较高，这可能反映显微组分形成过程中发生过低分子烃类在各显微组分之间的混合作用。除此之外，还把激光热裂解－色谱－质谱探针技术与传统的分子地球化学方法、有机岩石学方法进行比较。探讨了激光热裂解－色谱－质谱探针技术的应用前景以及尚待解决的技术问题。落射到样品表面的激光束能量（温度）和控制和激光辐射时间的，激光束斑大小、热解产物量、色谱－质谱检验灵敏度极限三者关系等，都是限制新技术应用的技术问题。     

基于多源监测数据的雷电预警方法

以浙江省气象台已经业务运行多年的基于雷达数据的雷电预警产品(预警时效为60min,分辨率为1km×1km,4个预警等级)为基础,融合闪电定位系统数据和大气电场数据,提出一种基于多源监测数据的雷电预警方法。使用2018年的观测数据进行预警效果检验,结果表明:雷电预警的漏报率为31.89%,空报率为30.54%,临界成功指数为60.53%,比使用单一监测数据的雷电预警效果有所提高。由此可见,该雷电预警方法对浙江省雷电天气的预警具有参考价值和指示意义。     

河北省雷电灾害事件特征分析

为了解河北省雷电灾害事件的时空分布、行业分布、经济损失及人员伤亡等,对2006—2017年(不包括2013、2016年)河北省雷电灾害事件资料进行统计分析。结果表明:河北省近10 a雷电灾害事件呈逐年波动递减的趋势,主要发生在6—8月,占全年雷电灾害事件总数的81.34%,唐山、保定和石家庄市为雷电灾害事件的高发区。雷电灾害事件最为严重的是电力行业达382起,人员伤亡事故主要发生在乡村。     

The Ensemble Kalman Filter: theoretical formulation and practical implementation

The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.Responsible Editor: Jörg-Olaf Wolff     

La prévision du climat : de l'échelle saisonnière à l'échelle décennale

The atmosphere and the ocean are subject to many dynamical instabilities, which limit the time during which their behaviour can be deterministically forecasted. At longer timescales, the atmosphere can be predicted at best using statistical methods, as a response to external forcing linked to sea- and land-surface anomalies. Climate being defined as the mean of atmospheric states, it appears that it can be predicted up to a few months in advance, which is the characteristic time of the so-called slow components of the climate system. Forecasting can sometimes be extended to longer time ranges, especially when the coupled ocean–atmosphere system exhibits internal variability modes, with characteristic times of a few years. Seasonal climate forecasting is most often based upon Monte-Carlo simulations, where the various realisations correspond to slightly different initial conditions. The present sate-of-the-art in Europe (ECMWF) and/or in the USA (IRI) allows to forecast such major phenomena, as El Niño, up to six months in advance. Finally, some parameters may exhibit predictability at still longer time-ranges (inter-annual to decadal), but only for certain regions. The example of electricity production is used to underline the potentially large economical benefit of seasonal climate forecasting. To cite this article: J.-C. André et al., C. R. Geoscience 334 (2002) 1115–1127.

Résumé

L'atmosphère et l'océan sont le siège d'instabilités dynamiques, qui limitent la durée pendant laquelle il est possible d'en prévoir l'évolution de façon déterministe. Au-delà, l'atmosphère n'est plus prévisible, au mieux, que de façon statistique, en fonction du forçage externe qu'exerce(nt) sur elle l'océan et/ou la surface des continents. Le climat (au sens d'une moyenne des états atmosphériques) se révèle ainsi prévisible jusqu'à des échéances temporelles de quelques mois, échelle de temps caractéristique des composantes dites « lentes » du système climatique. La prévision peut s'étendre à des échéances parfois plus longues, dans le cas où le système couplé océan–atmosphère posséderait des modes de variabilité temporelle de périodes caractéristiques de quelques années. La prévision climatique saisonnière est très souvent construite à partir de simulations de type Monte-Carlo, avec des ensembles de réalisations utilisant des conditions initiales légèrement différentes. Dans l'état actuel de ces prévisions, qu'elles soient réalisées en Europe (CEPMMT) ou aux États-Unis (IRI), il est possible de prévoir environ six mois à l'avance un certain nombre de phénomènes climatiques, en particulier ceux liés aux épisodes dits « El Niño », pour lesquels l'amplitude des variations est suffisamment importante. Il existe, par ailleurs, une prévisibilité à encore plus longue échéance (inter-annuelle à décennale), mais seulement pour certains paramètres et certaines régions. L'exemple de la production d'électricité montre l'importance économique potentielle très grande de la prévision climatique saisonnière. Pour citer cet article : J.-C. André et al., C. R. Geoscience 334 (2002) 1115–1127.     

地闪连续电流特征的统计分析

利用高时间分辨的闪电电场变化资料,统计分析了我国甘肃和广东地区闪连续电流特征。结果表明：在甘肃中川地区１０３产次地闪中,带有连续电流的地闪有４９．５％,连续电流的平均持续时间为８８．９ｍｓ;在广东地区的９８次地闪中有连续电流的地闪占５２％,连续电流的平均持续时间为１５８．２ｍｓ。在这两个地区,带有连续电流最多的是有２次或３次回击的地闪,连续电流的持续时间与产生它的回击和前一回击之间的时间间隔△Ｔ呈     

Study on the Variational Assimilation Technique for the Retrieval of Wind Fields from Doppler Radar Data

This paper introduces a variational assimilation technique for the retrieval of wind fields from Doppler radar data. The assimilated information included both the radial velocity (RV) and the movement of radar echo. In this assimilation technique, the key is transforming the movement of radar echo to a new radar measuring variable- "apparent velocity" (AV). Thus, the information of wind is added, and the indeterminacy of recovering two-dimensional wind only by AV was overcome effectively by combining RV with AV. By means of CMA GRAPES-3Dvar and CINRAD data, some experiments were performed. The results show that the method of retrieval of wind fields is useful in obtaining the construction of the weather system.     

APPLICATION OF BDA SCHEME IN TYPHOON TRACK PREDICTION

The MM5, which is the PSU/NCAR mesoscale nonhydrostatic limited-area model, and its adjoining modeling system are used in this paper. Taking T106 analysis data as background field the authors generate an optimal initial condition of a typhoon by using two bogus data assimilation schemes, and conduct some numerical simulating experiments. The results of No.9608 typhoon (Gloria) show that the optimal initial field have some dramatic improvements, such as inaccurate position of typhoon center, weaker typhoon circulation and incomplete inner structure of the typhoon, which are caused by shortage of data over the sea. Some improvements have been made in the track forecast. Through several comparing experiments, the initialization optimized by BDA scheme is found to be more reasonable than GFDL scheme and its typhoon track forecast is better.