共查询到19条相似文献,搜索用时 52 毫秒
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介绍了人工观测气象站和自动观测气象站测报年报表制作中异常记录的处理方法,以及利用自动站软件制作人工站测报年报表的方法,阐述了自动站软件调用人工站上年度初日资料的过程。 相似文献
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介绍农业气象观测资料处理系统的总体设计、基本功能和使用方法,为在全区气象台站的推广应用提供帮助。 相似文献
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应用VB语言实现气象资料自动采集分析处理 总被引:1,自引:0,他引:1
应用Visual Basic 6.0语言实现每日报文、报表、自动站资料的翻译和处理及录入数据库,可对数据库中数据查询并统计分析,便于在业务中应用。 相似文献
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“区域气象观测资料分析应用系统”应用软件主要任务是把本地的区域气象站观测资料根据不同需要处理成不同的显示产品,方便分析和应用观测资料,用于日常业务。该软件提供完善的实时显示、历史资料查询与统计功能、数据质量监控。系统采用C/S结构,服务器端以SQL server作存储观测资料数据库,客户端用Visual Basic与MapX开发组件构建应用显示平台。系统具有要素空间分布等值线绘制等功能、天气雷达回波显示功能。该软件可以动态、及时地了解当地的雨情、气温、地面风大小。与雷达回波相结合,可以辅助预测未来短时间内降水影响的区域和影响程度、还可以辅助判断区域气象站地面降水数据的真实性;借助要素等值线功能观察某个气象要素分布梯度,辅助判断观测设备是否异常;可以设定报警阈值,用声音或动画图像报警;可以制作站点观测数据报表。该软件充分考虑因气象观测设备来自不同的生产企业而产生的数据格式不一致的问题。 相似文献
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设计出一套地面气象测报资料处理系统的全新业务流程,并在微机上开发出整套业务软件,使地面气象测报资料处理工作实现从传统的手工作业方式到计算机自动处理的转变。 相似文献
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气象观测资料的质量对气象及相关领域的研究具有重要影响,如何进行气象观测资料的质量控制,确保资料的代表性和准确性,是气象资料工作者迫切需要解决的科学问题。气象观测资料的质量控制技术和方法各国均不相同,北欧5国的合作研究成果具有先进性和很好的代表性。简要介绍了北欧国家对实时和非实时气象资料进行质量控制的流程,所采用的方法、技术等。北欧气象资料从观测台站到资料中心经历了QC0、QCl、QC2和HQC 4个级别的质量控制流程;质量控制方法可分为单站质量控制和空间质量控制两大类,每类方法又分为不同的检查方案;质量控制标识根据用户对象的不同在北欧各国有不同的方案。 相似文献
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为实现6万余个地面气象站资料实时统计处理,设计并实现了地面气象资料统计处理系统。系统采用灵活易扩展的技术框架,应用大数据分布式流处理技术实现高效的数据处理,较传统统计处理框架统计时效提升10掊以上,主要功能包括基于任务调度的定时统计、针对迟到数据和数据更正信息的统计结果滚动更新、自定义统计、统计处理通用算法服务等,采用国家级一级部署、各省同步应用的业务布局保证数据的一致性。2017年1月投入业务运行后,实时计算800余个多种尺度的统计项并通过全国综合气象信息共享平台(CIMISS)数据统一服务接口提供统计产品服务。分析表明:地面气象资料统计产品2017年月平均下载次数达到1951.4万次,在CIMISS所有400余种观测资料或产品中排名第三,为天气监测预报预警、气象决策服务、气候监测业务、公共气象服务等提供重要的基础数据支撑。 相似文献
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This study introduces some innovations in the data processing algorithm for Chinese FY meteorological satellites. Issues about satellite image navigation, radiation calibration, and data assimilation are discussed.
A time series of the earth's disk center-line count provides information on the orientation of the satellite spin axis. With this information, the altitude parameters of the satellite and then the earth disk location in the south-north direction may be solved. In each spin cycle, the satellite views the sun and the earth. Given the satellite position and altitude, the angle (β) subtended at the satellite by the sun and the earth can be calculated and predicted. Thus, the earth's disk location in the east-west direction is fixed. Based on this principle, we derived an automatic image navigation algorithm for FY2 geosynchronous meteorological satellites with an accuracy approaching pixel level.
The FY2 meteorological satellite traveling in a geostationary orbit suffers a large amount of radiation from the sun. The radiation varies on both diurnal and annual scales, which causes radiation responses in the thermal infrared (IR) bands wherein the wavelengths greater than 3.5 μm vibrate periodically on scales of hours to years. These vibrations must be precisely calibrated. First, based on the accurate estimation of the radiant contribution from the front-optics, the variation characteristics of the calibration parameters are obtained on a temporal scale of hours from the space-borne inner-blackbody (IBB) measurement results. Second, the in-orbit measured radiation of the lunar surface is referenced and utilized to correct the sys- tematic bias of the IBB calibration from daily to annual scales. By using such algorithms, we achieved a calibration accuracy of the FY2 satellite's IR imagery of less than 1 K.
The on-orbit satellite instrument parameters play an important role in data quality; however, they may be mis-measured due to limitations in the measurement conditions or may be 相似文献
A time series of the earth's disk center-line count provides information on the orientation of the satellite spin axis. With this information, the altitude parameters of the satellite and then the earth disk location in the south-north direction may be solved. In each spin cycle, the satellite views the sun and the earth. Given the satellite position and altitude, the angle (β) subtended at the satellite by the sun and the earth can be calculated and predicted. Thus, the earth's disk location in the east-west direction is fixed. Based on this principle, we derived an automatic image navigation algorithm for FY2 geosynchronous meteorological satellites with an accuracy approaching pixel level.
The FY2 meteorological satellite traveling in a geostationary orbit suffers a large amount of radiation from the sun. The radiation varies on both diurnal and annual scales, which causes radiation responses in the thermal infrared (IR) bands wherein the wavelengths greater than 3.5 μm vibrate periodically on scales of hours to years. These vibrations must be precisely calibrated. First, based on the accurate estimation of the radiant contribution from the front-optics, the variation characteristics of the calibration parameters are obtained on a temporal scale of hours from the space-borne inner-blackbody (IBB) measurement results. Second, the in-orbit measured radiation of the lunar surface is referenced and utilized to correct the sys- tematic bias of the IBB calibration from daily to annual scales. By using such algorithms, we achieved a calibration accuracy of the FY2 satellite's IR imagery of less than 1 K.
The on-orbit satellite instrument parameters play an important role in data quality; however, they may be mis-measured due to limitations in the measurement conditions or may be 相似文献