Cross-scale analysis of cluster correspondence using different operational neighborhoods

Cluster correspondence analysis examines the spatial autocorrelation of multi-location events at the local scale. This paper argues that patterns of cluster correspondence are highly sensitive to the definition of operational neighborhoods that form the spatial units of analysis. A subset of multi-location events is examined for cluster correspondence if they are associated with the same operational neighborhood. This paper discusses the construction of operational neighborhoods for cluster correspondence analysis based on the spatial properties of the underlying zoning system and the scales at which the zones are aggregated into neighborhoods. Impacts of this construction on the degree of cluster correspondence are also analyzed. Empirical analyses of cluster correspondence between paired vehicle theft and recovery locations are conducted on different zoning methods and across a series of geographic scales and the dynamics of cluster correspondence patterns are discussed.      

Fifteen Years of Ocean Observations with China Argo

For 15 years since the beginning of China Argo project, China has deployed over 350 profiling floats in Pacific and Indian ocean, and constructed China Argo ocean observing network. Moreover, we have setup the Argo data receiving, processing and distributing system, and developed various Argo data products using Argo observations, which has promoted the progress of ocean data sharing in China. The abundant Argo data have become a main data source in oceanic and atmospheric basic researches and operational applications. A batch of important achievements in basic research and operational application have been brought, e.g. in aspects of tropical cyclone (typhoon), ocean circulation, meso-scale eddy, turbulence, heat/salt storage and transport and water mass, as well as in ocean, atmosphere/climate operational forecasting and predicting. With the extension of the international Argo program from “Core Argo” to “Global Argo”, we are faced with great challenges in the long-term maintaining and sustained developing of our Argo ocean observing network. It is suggested that we should take the opportunity to construct China regional Argo ocean observing network as soon as possible in adjacent northwestern Pacific and Indian ocean using Chinese BeiDou profiling floats, which will make us to take responsibility and obligation of a big country for addressing global climate changes and preventing natural disasters.     

载人潜水器运行管理机制探析

为了探索深海,不同类型的深海运载装备得以成功开发,并应用于深海科学、资源勘探开发、工程保障及战略安全等不同领域。深海运载装备可以分为载人潜水器(HOV)、遥控深潜器(ROV)、自治式深潜器(AUV)及混合型深潜器,其中以载人潜水器为代表的高技术装备群成为建设海洋强国的重要保障力量。文章对美国"阿尔文"号、俄罗斯"和平I"号和"和平II"号、日本"深海6500"号、法国"鹦鹉螺"号、中国"蛟龙"号载人潜水器运行管理机制进行了阐述,综合比较其优缺点,提出了建立职业化运行保障队伍、优化作业流程,创新组织结构、探索多型潜水器海上作业模式等运行管理机制构架的建议。     

基于卫星遥感海温数据的南海SST预报误差订正

尝试利用卫星遥感高分辨率海表温度资料GHRSST (Group for High Resolution Sea Surface Temperature) 与海表温度(sea surface temperature, SST)数值预报产品之间的误差, 建立一种南海SST模式预报订正方法。首先, 利用南海的Argo浮标上层海温数据对GHRSST 海温数据进行验证, 结果表明两者之间均方根误差约为0.3℃, 相关系数为0.98, GHRSST 海温数据可用于南海业务化数值预报SST的订正。预报订正后的SST与Argo浮标海温数据相比, 24h、48h和72h的均方根误差均由0.8℃左右下降到0.5℃以内。与GHRSST 海温数据相比, 南海北部海域(110°E—121°E, 13°N—23°N)订正后的24h、48h和72h的SST预报空间误差均显著减小, 在冷空气影响南海期间或中尺度涡存在的过程中, SST预报订正效果也较为显著。因此, 该方法可考虑在南海业务化SST数值预报系统中应用。     

全国天气雷达数据处理系统

根据《全国天气雷达终端更新》和《全国天气雷达定标》项目的技术规定,研制了一套完整的雷达业务数据处理系统,实现了全国布网天气雷达数据格式统一、产品生成、产品分发和图像回显的全自动化业务,提高了我国天气雷达网的业务质量、以及数据处理和产品应用水平,收效显著。在研发过程中,充分考虑了业务条件、实际要求和探测技术的发展,系统功能丰富,算法先进,接口开放,设计精美,投入业务两年来系统运行稳定。该系统放弃了传统对话框和工具栏的设计方式,创新设计了操作面板控制。文中的研发思路,设计方法,系统特点对我国业务软件的研制具有很好的借鉴作用。     

Enhancing the management response to oil spills in the Tuscany Archipelago through operational modelling

A new approach towards the management of oil pollution accidents in marine sensitive areas is presented in this work. A set of nested models in a downscaling philosophy was implemented, externally forced by existing regional operational products. The 3D hydrodynamics, turbulence and the oil transport/weathering models are all linked in the same system, sharing the same code, exchanging information in real time and improving its ability to correctly reproduce the spill. A wind-generated wave model is also implemented using the same downscaling philosophy. Observations from several sources validated the numerical components of the system. The results obtained highlight the good performance of the system and its ability to be applied for oil spill forecasts in the region. The success of the methodology described in this paper was underline during the Costa Concordia accident, where a high resolution domain was rapidly created and deployed inside the system covering the accident site.     

短期暴雨的前期特征和预报实践

打破季节和月份的限制，将所有的暴雨作为研究对象，运用自组织理论总结归纳出一套自成体系的统一的关于短期暴雨预报的前期环流特征和判据。在预报业务上，作者成功地建立三个精确到点的高质量的短期暴雨预报方法。     

Towards an operational system for oil-spill forecast over Spanish waters: initial developments and implementation test

The ESEOO Project, launched after the Prestige crisis, has boosted operational oceanography capacities in Spain, creating new operational oceanographic services and increasing synergies between these new operational tools and already existing systems. In consequence, the present preparedness to face an oil-spill crisis is enhanced, significantly improving the operational response regarding ocean, meteorological and oil-spill monitoring and forecasting. A key aspect of this progress has been the agreement between the scientific community and the Spanish Search and Rescue Institution (SASEMAR), significantly favoured within the ESEOO framework. Important achievements of this collaboration are: (1) the design of protocols that at the crisis time provide operational state-of-the-art information, derived from both forecasting and observing systems; (2) the establishment, in case of oil-spill crisis, of a new specialized unit, named USyP, to monitor and forecast the marine oceanographic situation, providing the required met-ocean and oil-spill information for the crisis managers. The oil-spill crisis scenario simulated during the international search and rescue Exercise "Gijón-2006", organized by SASEMAR, represented an excellent opportunity to test the capabilities and the effectiveness of this USyP unit, as well as the protocols established to analyze and transfer information. The results presented in this work illustrate the effectiveness of the operational approach, and constitute an encouraging and improved base to face oil-spill crisis.     

A naive uncertainty model for measuring operational risks faced by financial institutions

When insufficient data are available for measuring operational risk faced by a financial institute, most of the models depending on the probability theory are failure. Differing from that we use a probability distribution to depict random uncertainty, in this paper we use a number to represent the naive uncertainty in a phase serving for operational risk identification. The simplest form of the naive uncertainty model for measuring operational risk with multiple phases is the weighted mean with the uncertainties. It is also valid when we have a rough judgment for the uncertainties with intervals or fuzzy values. In this paper, we give a calculation case in lending operational risk to demonstrate the model validity.     

辽宁省热带气旋模式预报业务系统

介绍了在MM5模式基础上建立起来的辽宁省热带气旋模式预报业务系统及2005年的预报情况。系统以T213L31产品为背景场和侧边界,初始场中同化了常规探空报、地面报及一些卫星反演资料,模式的初值中还嵌入人造热带气旋进行模式运算。系统每日自动运行2次;模式输出结果经后处理后,编写到通用绘图软件GrADs中,以图形显示,并在沈阳区域气象中心局域网的中尺度数值预报网页上显示。2005年汛期热带气旋预报表明,系统对热带气旋的路径和暴雨的预报效果较好。