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基于Datist的气象数据解析与存储技术

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气象信息常用于地震异常核实和辅助地震前兆异常的判定等工作,在地震会商研判工作中具有重要的应用价值.为实现建设多信息多数据融合地震分析预报会商技术系统的目标,针对气象数据结构复杂、数据量大、要素多等特性,本研究采用节点式流程方法,将气温、气压、比湿、风速、太阳短波辐射、降雨等气象数据存储至地震会商技术系统的数据库,具有效率高、方法简单、灵活性强等特点,不仅为地震科研和预报提供更丰富的数据资源,还为实现与气象相关业务系统的信息共享提供数据支持.
Research on meteorological data analysis and storage technology based on Datist
Meteorological information is often used to verify anomalies and assisted in the determination of earthquake precursor anomalies and has an important application value in the consultation research judgement.Considering the goal of building a multi-information and multi-data fusion technology system for earthquake analysis and prediction,and considering the complex structure of meteorological data,large amount of data and many factors,this study adopts node flow method to store meteorological data such as temperature,pressure,specific humidity,wind speed,solar short-wave radiation and rainfall into the database of consultation technology system,which has high efficiency and simple method.With the characteristics of high efficiency,simple method and strong flexibility,it not only provides more abundant data resources for earthquake research and prediction,but also provides data support for realizing information sharing with meteorological related business systems.

consultation technology systemDatistmeteorological datadata analysisdata storage

李丽、张秀萍、高楠、陈鸿钰、侯旭婷

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中国北京 100045 中国地震台网中心

中国西安 710054 中国地震局第二监测中心

会商技术系统 Datist数据专家 气象数据 数据解析 数据存储

2024

地震地磁观测与研究
中国地震台网中心 中国地震局地球物理研究所 中国地震学会地震观测技术专业委员会

地震地磁观测与研究

影响因子:0.248
ISSN:1003-3246
年,卷(期):2024.45(6)