Application of a cloud-texture analysis scheme to the cloud cluster structure recognition and rainfall estimation in a mesoscale rainstorm process

It is thought that satellite infrared (IR) images can aid the recognition of the structure of the cloud and aid the rainfall estimation. In this article, the authors explore the application of a classification method relevant to four texture features, viz. energy, entropy, inertial-quadrature and local calm, to the study of the structure of a cloud cluster displaying a typical meso-scale structure on infrared satellite images. The classification using the IR satellite images taken during 4–5 July 2003, a time when a meso-scale torrential rainstorm was occurring over the Yangtze River basin, illustrates that the detailed structure of the cloud cluster can be obviously seen by means of the neural network classification method relevant to textural features, and the relationship between the textural energy and rainfall indicates that the structural variation of a cloud cluster can be viewed as an exhibition of the convection intensity evolvement. These facts suggest that the scheme of following a classification method relevant to textural features applied to cloud structure studies is helpful for weather analysis and forecasting.     

Influences of Two Convective Schemes on the Radiative Energy Budget in GAMIL1.0

The Grid-point Atmospheric Model of IAP LASG version 1.0 (GAMIL1.0) is used to investigate the impacts of different convective schemes on the radiative energy budget.The two convective schemes are Zhang and McFarlance (1995)/Hack (1994) (ZM) and Tiedtke (1989)/Nordeng (1994) (TN).Two simulations are performed:one with the ZM scheme (EX_ZM) and the other with the TN scheme (EX_TN).The results indicate that during the convective process,more water vapor consumption and temperature increment are found in the EX_ZM,especially in the lower model layer,its environment is therefore very dry.In contrast,there is a moister atmosphere in the EX_TN,which favors low cloud formation and large-scale condensation,and hence more low cloud fraction,higher cloud water mixing ratio,and deeper cloud extinction optical depth are simulated,reflecting more solar radiative flux in the EX_TN.This explains why the TN scheme underestimates the net shortwave radiative flux at the top of the atmosphere and at surface.In addition,convection influences longwave radiation,surface sensible and latent heat fluxes through changes in cloud emissivity and precipitation.     

层状云的雨滴谱分档数值模拟研究

通过建立雨滴分档模式,结合部分观测资料,对中国北方常见的三类典型层状云系:强锋面抬升层状云系、气旋尺度辐合层状云系及弱锋面抬升层状云系的云中水成物总比含水量、降水强度及地面雨滴谱进行了数值模拟,并与观测值进行了比较分析。结果表明,雨滴分档模式较一般使用的单参数Marshall-Palmer（M-P）分布的参数化模式更能反映雨滴的自然演变特征。     

Model studies of the impact of chemical inhomogeneity on SO2 oxidation in warm stratiform clouds

A one-dimensional, time-dependent model of the physics and chemistry of a warm stratiform cloud is used to study the possible impact of chemical inhomogeneity among cloud and raindrops on the oxidation of SO₂ in clouds. The effects of chemical inhomogeneity are examined using two contrasting models: In Model 1 a bulk-solution parameterization is adopted which effectively treats all cloud and raindrops as if they are chemically homogeneous; in Model 2 we allow the cloud and raindrops to have a dichotomous distribution. The dichotomous distribution in Model 2 is simulated by assuming that the two groups of cloud droplets nucleate from two chemically distinct populations of condensation nuclei; one being acidic and the other being alkaline. While the two models yield essentially identical results when the ambient levels of H₂O₂ are greater than the ambient levels of SO₂, the rate of conversion of SO₂ to sulfuric acid and the amount of sulfate removed in the precipitation can be significantly enhanced in Model 2 over that of Model 1 under conditions of oxidant limitation (i.e., H₂O₂ < SO₂). This enhancement is critically dependent upon the fraction of alkaline nuclei assumed to be present in Model 2 and arises from the rapid increase in the aqueous-phase reaction between O₃+S_IV at high pH. Our results suggest that cloud models which adopt a bulk-solution parameterization for cloud droplet chemistry, may underestimate the amount of in-cloud SO₂ oxidation under oxidant-limited conditions.     

长治市防雹作业新体系

本文根据长治市多年冰雹发生情况，经过分析统计，找出了冰雹多发源地、雹云发晨方向、路径和影响范围，提出了合理布局，联防作业，建立现代化作业指挥系统的防雹新思路。     

中国人工防雹四十年

简述了人工防雹在中国发展的历程,并从科学技术的角度,总结和概括了40年来中国人工防雹的进展和成绩,指出中国已经走上了比较科学,比较现代化的人工防雹发展道路;还分析了中国人工防雹中存在的主要科学技术问题,并提出了解决这些问题的一些看法;最后,提供了较为丰富的中国人工防雹文献.     

浙江省沿海陆域与舟山海域地闪回击特征分析

采用2016-2020年浙江省闪电定位资料,利用Access和MATLAB对浙江省陆域、舟山海域地闪回击特征进行分析.结果显示:浙江省陆域年平均地闪回击密度为1.97次·km-2·a-1,正地闪回击密度为0.10次·km-2·a-1,正地闪回击占总地闪回击的5.1％,正地闪回击平均电流强度为42.49 kA,负地闪为3...     

基于因子权重反分析的新近失稳土质边坡稳定性评价云模型

在强降雨等因素影响下,新近失稳土质边坡易再次发生滑动,并对现场救援人员的安全构成威胁。如何对该类边坡的稳定性进行快速、准确地评价,亟须解决。由于古滑坡的滑动面处土体的抗剪强度随着时间的推移有所提高,故无法直接套用古滑坡复活的评价方法。常用的极限平衡条分法或有限元等数值分析法又需要事先进行现场勘察,耗时较长影响救援进度。因云模型评价方法对评价因子的精度要求较低,可弥补上述方法的不足之处。但目前对云模型评价因子权重的研究,仍存在一些不足之处,故提出采用反分析法来计算各评价因子的权重。选取坡高等9个易于获取且是决定边坡稳定性的主要因素为评价因子,参照《地质灾害调查技术要求》和前人的研究成果对各评价因子的稳定分级区间进行划分,利用MATLAB程序语言平台生成相应的综合云模型。根据滑坡前各评价因子的数值反分析其权重的云模型特征参数,建立可方便快捷地对新近失稳边坡进行稳定性评价的云模型,使用Python 语言和Qt Designer工具进行应用程序的开发。使用该应用程序对福建省永春县冷水村一新近失稳边坡2016年11月3—8日的稳定性进行评价,得到的结果与现场情况基本吻合,初步验证了该方法准确性。该程序的运行过程耗时较短,也验证了该方法的快速性。     

三维点云在轨道板快速检测中的应用

针对现有的CRTSⅢ型轨道板检测方法效率低下、设备组装复杂、部分还需人工操作等不足,基于三维点云数据实现了轨道板外形尺寸的高精度快速检测。利用轨道板标准三维模型建立相关检测特征,在完成轨道板三维点云数据相关预处理后,将点云数据精确配准至标准三维模型,利用模型上已建立的特征拟合计算轨道板表面点云数据的检测特征,获得轨道板各检测指标的测量值;计算测量值与标准三维模型设计尺寸之间的偏差,从而实现轨道板外形尺寸的快速检测。实验表明,与常规的检测手段相比,该方法具有检测精度高、速度快、检测结果稳定可靠、检测项目齐全等优点,具有良好的应用前景。     

一次罕见大冰雹天气的新一代天气雷达回波分析

利用常规资料和多普勒雷达资料,分析了2011年6月24日洛阳嵩县冰雹天气过程。结果表明：高空横槽转竖,干冷空气入侵,中低层强的偏东风辐合,暖湿气流辐合上升,为冰雹的发生提供了有利的动力和水汽条件;高空冷平流,低层暖平流,为强对流性天气的发生提供了不稳定层结;适宜于冰雹生成发展的0℃层高度,指示有利于对流发展的各类指数,为冰雹的分析预报提供了较好的依据;早期的雷达回波信号及其所带来的天气,为提前对强对流天气性质正确判断和监测预警提供了较好的参考信息;强度〉55dBz的回波高度高于-20℃层高度,VIL值〉60kg／m^2,回波顶高〉12km,有中气旋出现等,是降雹的可靠信号。