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.     

Impacts of Global Emissions of CO, NOx, and CH4 on China Tropospheric Hydroxyl Free Radicals

Using the global chemistry and transport model MOZART,the simulated distributions of tropospheric hydroxyl free radicals(OH) over China and its sensitivities to global emissions of carbon monoxide(CO),nitrogen oxide(NO x),and methane(CH 4) were investigated in this study.Due to various distributions of OH sources and sinks,the concentrations of tropospheric OH in east China are much greater than in west China.The contribution of NO + perhydroxyl radical(HO 2) reaction to OH production in east China is more pronounced than that in west China,and because of the higher reaction activity of non-methane volatile organic compounds(NMVOCs),the contributions to OH loss by NMVOCs exceed those of CO and take the dominant position in summer.The results of the sensitivity runs show a significant increase of tropospheric OH in east China from 1990 to 2000,and the trend continues.The positive effect of double emissions of NO x on OH is partly offset by the contrary effect of increased CO and CH 4 emissions:the double emissions of NO x will cause an increase of OH of 18.1%-30.1%,while the increases of CO and CH 4 will cause a decrease of OH of 12.2%-20.8% and 0.3%-3.0%,respectively.In turn,the lifetimes of CH 4,CO,and NO x will increase by 0.3%-3.1% with regard to double emissions of CH 4,13.9%-26.3% to double emissions of CO and decrease by 15.3%-23.2% to double emissions of NO x.     

Experiments of DSAEF_LTP Model with Two Improved Parameters for Accumulated Precipitation of Landfalling Tropical Cyclones over Southeast China

The Dynamical-Statistical-Analog Ensemble Forecast model for landfalling tropical cyclones (TCs) precipitation (DSAEF_LTP) utilises an operational numerical weather prediction (NWP) model for the forecast track, while the precipitation forecast is obtained by finding analog cyclones, and making a precipitation forecast from an ensemble of the analogs. This study addresses TCs that occurred from 2004 to 2019 in Southeast China with 47 TCs as training samples and 18 TCs for independent forecast experiments. Experiments use four model versions. The control experiment DSAEF_LTP_1 includes three factors including TC track, landfall season, and TC intensity to determine analogs. Versions DSAEF_LTP_2, DSAEF_LTP_3, and DSAEF_LTP_4 respectively integrate improved similarity region, improved ensemble method, and improvements in both parameters. Results show that the DSAEF_LTP model with new values of similarity region and ensemble method (DSAEF_LTP_4) performs best in the simulation experiment, while the DSAEF_LTP model with new values only of ensemble method (DSAEF_LTP_3) performs best in the forecast experiment. The reason for the difference between simulation (training sample) and forecast (independent sample) may be that the proportion of TC with typical tracks (southeast to northwest movement or landfall over Southeast China) has changed significantly between samples. Forecast performance is compared with that of three global dynamical models (ECMWF, GRAPES, and GFS) and a regional dynamical model (SMS-WARMS). The DSAEF_LTP model performs better than the dynamical models and tends to produce more false alarms in accumulated forecast precipitation above 250 mm and 100 mm. Compared with TCs without heavy precipitation or typical tracks, TCs with these characteristics are better forecasted by the DSAEF_LTP model.     

A numerical study on the meso-scale pollutant dispersion over a sloped surface in the stable boundary layer

A numerical model is used to study the properties of pollutant dispersion over a large uniformly-sloped surface in the stable atmospheric boundary layer. By simulating the structure of boundary layer flow to improve the advective wind field and vertical eddy diffusivities included in the advection-diffusion equa-tion, this numerical model permits an estimation of the distribution of pollutant concentration for more real-istic atmospheric diffusion conditions.     

基于GIS的南宁市细网格立体农业气候资源分析研究

根据气象台站最新30年的气候观测资料和台站地理信息,建立了南宁市主要气候要素的空间分析模型。在GIS的支持下,对无测站地区500 m×500 m网格单元上的气候要素值进行了推算,并利用反距离权重插值法进行残差订正,制作了南宁市农业气候资源的细网格立体分布图,分析了南宁市气候资源的特点及时空分布规律,为该市气候资源的合理开发利用提供了科学依据。     

国家级天气预报检验分析系统建设与应用

为了适应精细化预报和业务管理的发展需求,国家气象中心建设开发了基于Web的国家级天气预报检验分析系统。系统分为预报检验、检验文件解析处理、检验数据查询分析与检验平台管理4个功能模块,关键技术包括标准化的数据管理、开放式的算法模块管理与调度和检验数据的可视化分析。系统建立了规范高效的检验业务数据流程,兼容处理预报分析制作系统（MICAPS）数据、GRIB2数据、城镇报数据、自动气象站数据等其他专业气象数据,涵盖了国家级省级智能网格预报、全国城镇天气预报、定量降水预报、大城市空气质量预报等数十项检验业务产品,给出了空间分布、柱状图及数据表格等展现形式。系统为全国各级预报员、模式开发人员和管理人员提供预报检验反馈信息,为各省以及国家级预报业务考核提供了信息支撑;同时系统提供逐旬、月、年度的智能网格预报以及城镇天气预报的检验结果对比,有力支撑了智能网格预报产品业务研发和业务试验。     

普洱市宜居气候适宜性分析

气候舒适的程度及持续时间的长短,是影响旅游发展和人类居住环境适应性的重要因素。基于1981 2010年普洱市10个县区气象站的日平均气温、相对湿度及风速等常规气象观测资料,对季节划分、气温极值和平均气温空间分布进行了分析,计算舒适度指数(包括温湿指数、风寒指数、人体舒适度指数),研究了普洱市的宜居气候舒适性。结果表明:普洱市夏季90%的区域平均气温为20~24℃,仅有东部和中部少数河谷地带超过24℃;冬季90%的区域平均气温均在10℃以上。冬半年全市最低气温低于0℃的年平均日数不足1天,夏半年全市最高气温高于35.0℃的年平均日数不足4天。因此普洱市"冬无严寒、夏无酷暑",全年有6~9个月的春秋宜人气候,是典型的全年"人体感觉舒适"的宜居气候区,尤以夏半年最为舒适。近10年普洱市快速增长的旅游总人数和完成的GDP进一步说明普洱市的宜居和旅游的气候适宜性。     

云南强震地下流体源兆特征研究

区分"源兆"与"场兆",系地震预测探索中的重要课题。根据云南4组6级以上地震的地下流体前兆异常资料,系统分析了强震源兆的流体前兆异常特征。结果表明,在6级多强震的源兆区,即震中距100 km范围内,异常项目计有水位、水温、水氡、水汞及气汞;以中期、短期异常为主,临震异常很少;源兆异常台站和台项的比例均高于场兆。这些流体源兆特征的认识,可为利用流体异常判断地震危险区提供一定依据。     

GPS在我国地震研究中的应用现状与展望

GPS应用已成为现代地震研究领域中的一个重要组成部分,已经深入到我国地震研究领域中的各个学科.本文介绍了GPS在形变、测震、电磁、地震预警和地震观测仪器授时中的应用现状,并对GPS在地震研究中应用的发展趋势进行了展望.     

Organic structure and possible origin of ancient charred paddies at Chuodun Site in southern China

A number of ancient charred paddies with a ¹⁴C dating of about 5900 a BP were recovered in the sixth excavation at Chuodun Site and are assigned to the Majiabang culture (7–6 ka BP). To understand their formation mechanism, the ancient charred paddies were compared to modern paddies using FT-IR spectrum and thermaogravimetric analysis. At the same time, modern charred paddies were made in helium by the laboratory method, and the structural characteristics of them and the ancient ones were revealed using CP/MAS-¹³C-NMR. Our results show there are more aromatic moieties in ancient charred paddies compared to modern paddies. The aliphatic components of modern charred paddies decrease continuously, accompanied by the accumulation of aromatic components, when the duration and temperature of oxidation increase, and the structure buildings of modern charred paddies are more similar to ancient ones. Given the planting manner of paddies during Majiabang culture period, these ancient charred paddies might be a result of the original farming mode involving fire. Supported by the National Natural Science Foundation of China (Grant No. 40571088)