基于Windows 2003远程终端服务的气象信息共享平台的开发和应用

Windows 2003 Server提供的远程终端服务功能实现了多用户同时操作,远程终端多用户通过远程终端功能可以同时在远程终端服务上运行程序、保存文件和使用网络资源等,为业务应用提供了便捷.介绍利用Windows Server 2003远程终端(包括远程桌面和终端服务),开发了气象业务中多用户共享MICAPS20、雷达PUP产品及其它气象应用系统的信息服务平台,在实际应用中发挥了很好的应用效果.     

Detecting Arctic snow and ice cover with FY-1D global data

Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel(0.58-0.68 μm) and infrared channels(0.84-0.89 μm,10.3-11.3 μm,11.5-12.5 μm).2366 snow and ice samples,2024 cloud samples,1602 land samples and 1648 water samples were selected randomly from Arctic imageries.Land and water can be detected by spectral features.Snow-ice and cloud can be classified by textural features.The classifier is Bayes classifier.By synthesizing five d ays classifying result of Arctic snow and ice cover area,complete Arctic snow and ice cover area can be obtained.The result agrees with NOAA/NESDIS IMS products up to 70%.     

CHINA’S FOUR MAJOR METEOROLOGICAL SCIENTIFIC EXPERIMENTS

China lies in East-Asian monsoon region,which is one of the well-known active monsoon zones around the world.Monsoon anomaly results in frequent natural disasters,such as drought,torrential rain and flood.In 1998,joint intensified observations for 4 major meteorological scientific experiments have been carried out over Chinese major monsoon affected areas.A number of valuable data have been obtained and some observational facts have come out after initial analysis.The present paper is to give an introduction to the 4 major meteorological scientific experiments conducted in 1998 in China.including its origin and scientific goals,implementation and planning,equipment and progress,and initial findings from the important observational facts.It aims to provide a comprehensive report on the progress of the above experiments for those who are interested in.     

A comparative study of extensive machine learning models for predicting long-term monthly rainfall with an ensemble of climatic and meteorological predictors

Rainfall prediction is of vital importance in water resources management. Accurate long-term rainfall prediction remains an open and challenging problem. Machine learning techniques, as an increasingly popular approach, provide an attractive alternative to traditional methods. The main objective of this study was to improve the prediction accuracy of machine learning-based methods for monthly rainfall, and to improve the understanding of the role of large-scale climatic variables and local meteorological variables in rainfall prediction. One regression model autoregressive integrated moving average model (ARIMA) and five state-of-the-art machine learning algorithms, including artificial neural networks, support vector machine, random forest (RF), gradient boosting regression, and dual-stage attention-based recurrent neural network, were implemented for monthly rainfall prediction over 25 stations in the East China region. The results showed that the ML models outperformed ARIMA model, and RF relatively outperformed other models. Local meteorological variables, humidity, and sunshine duration, were the most important predictors in improving prediction accuracy. 4-month lagged Western North Pacific Monsoon had higher importance than other large-scale climatic variables. The overall output of rainfall prediction was scalable and could be readily generalized to other regions.     

分布式社区口腔医疗信息管理系统设计

利用SQL Server和VB设计分布式社区口腔医疗信息管理系统,建立牙科电子病历,实现远程医疗信息共享和IC卡一卡通服务,改善口腔医疗服务水平.     

广西山地风能资源开发利用可行性分析——以大容山为例

利用大容山自动观测站2004年8月～2006年7月气象观测资料和容县气象站1958～2006年7月测风资料,对大容山的风能资源各参数进行了详细计算和分析,并结合预选风电场的地形地貌、交通运输、联网条件、环境保护等状况对大容山风能资源开发利用进行了可行性分析评价.结果表明：大容山年平均风速为7.2m/s,年平均风功率密度为390.8W/m^2,其风能资源丰富,且交通运输、联网、工程地质等条件较好,可选择在坡度较小的山头或山腰建设风电场,预选风电场可布置750kW的风机45台,总装机容量约为34MW.     

时空过程网络可视化模拟与分析服务——以溃坝洪水为例

洪水溃坝等复杂灾害现象的时空过程模拟分析,是当前国际地理信息科学热点研究方向之一。随着网络的普及化,公众对GIS时空分析模型的网络实时集成和可视化分析提出了迫切的需求。本文以溃坝洪水为例开展了时空过程网络可视化模拟与分析服务研究,利用Web GL、HTML5、Ajax、Web Service、GPU并行计算等技术手段,通过探讨溃坝洪水时空模型计算优化、网络三维可视化模拟与动态交互分析等关键技术,研发了原型系统并进行应用实验。实验结果表明,本文研究成果有助于实现时空过程信息的网络发布,在线影响分析及动态可视化服务,可为分布式网络环境下溃坝洪水等时空过程信息管理和应急决策提供科学依据和技术支持。     

现行业务湿度传感器测量不确定度研究

依据JJF1059.1-2012《测量不确定度评定与表示》,针对自动气象站各要素传感器的测量误差会随时间、温度等环境因素的变化而发生漂移.为确保观测数据的准确、可靠,以CP340恒温恒湿箱为湿度发生环境、采用英国michell公司的Optidew Vision精密露点仪为标准器,介绍了利用HMP155A温湿度传感器进行湿度测量不确定度评定的一般方法和详细步骤.最后给出一个评定实例,在温度为22℃和40℃,相对湿度为30％ RH～75％RH时,通过对测量不确定度的各分量进行分析和计算,得到HMP155A温湿度传感器测量结果的扩展不确定度分别为1.50％和1.46％.     

Economic evaluation of vessel traffic service (VTS): A contingent valuation study

Maritime safety has become a major concern in Korea. As an alternative to improve maritime safety, the Korean government is considering enhancing infrastructure associated with maritime safety, in the form of a vessel traffic service (VTS) facility for high density waterways. This study estimates the public value of a VTS facility construction project using the contingent valuation (CV) method. A CV survey using person-to-person interviews was administered to 400 randomly selected households to elicit their willingness to pay (WTP) for the project. Overall, the respondents accepted the contingent market, and on average, Korean households were willing to pay a significant amount toward the project. The mean WTP for the project is estimated to be approximately KRW 4149.5 (USD 3.7) per year per household, which is statistically significant. The estimate of the fiduciary benefit to Korean households is approximately KRW 11.07 billion (USD 9.91 million) per year for five years. The results are expected to be useful for policy-makers in determining the economic feasibility of a VTS.     

渤海西部2次赤潮过程的气象因子对比分析

利用加密自动站资料、NCEP/NCAR 1°×1°再分析资料、海表温度(SST)资料和常规观测资料等气象资料,对2009年5月31日—6月13日和2012年5月18—28日发生在渤海西部海域的2场相似气象因子影响下的典型高影响赤潮过程进行了对比分析。初步结果表明:(1)2场高影响赤潮过程都发生在春末夏初的赤潮高发期,持续时间在10天以上;(2)赤潮爆发前期,伴随有暖湿气流影响形成适度降水,渤海西部的周平均海表温度(SST)升温明显,且SST≥16.2℃,赤潮发生海域为SST的暖脊控制,对赤潮过程的潜势预报有明显的指示意义;(3)850 h Pa以下层次的温度迅速上升,近地层西南暖湿气流的加强和地面6 m/s以下偏南、东南气流在渤海西部海域的汇合,利于渤海西部海洋浮游生物积聚和突发性繁殖,是赤潮形成的重要气象因子特征。