面向CIPAS3.0的氣候數據環境設計與實現
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:

農業大災風險綜合集成智能分析與決策研究(2022ZD0119505)、風云衛星應用先行計劃(FYAPP2021.0304)、2022年度氣候研究開放課題青年基金資助


Design and Implementation of CIPAS 3.0 Data Environment
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    本文針對氣候監測預測分析系統(CIPAS3.0)數據環境的系統架構、總體設計,提出系統實現的若干關鍵技術并進行深入分析。CIPAS3.0作為國家氣候中心面向氣候監測、預測、診斷業務的核心業務系統,其數據支撐環境已全面融入氣象大數據云平臺“天擎”,針對不同存儲格式的數據源,建立了以GBASE和PostgreSQL底層存儲架構為基礎的氣候專題數據庫,采用基于配置文件的可插拔數據加工處理框架,并提供了具有數算一體能力的數據訪問接口。CIPAS數據環境設計采用OBS(Object Storage Service)對象存儲進行產品的管理,同時針對數據產品完整性和分布式集群管理建立了全流程的監控系統,實現了數據從采集、入庫、存儲、加工處理、訪問、監控等各環節的支撐作用。目前,CIPAS3.0數據環境已投入業務使用,其建設成果在國家級業務單位和試點省份的試用顯示出其在支撐業務應用能力與發展前景方面具備較好的基礎。

    Abstract:

    This paper focuses on the system architecture and overall design of the Climate Monitoring and Prediction Analysis System (CIPAS 3.0) data environment, proposing and providing an in-depth analysis of several key technologies for system implementation. As the core business system for climate monitoring, prediction, and diagnosis at the National Climate Centre, CIPAS 3.0 integrates its data support environment fully into the meteorological big data cloud platform “Tianqing,” supporting the “cloud+client” climate business system framework, providing stable and reliable support for various stages such as data collection, storage, processing and monitoring. To support the storage and management of highresolution grid data and longtime sequence data from the meteorological station, the CIPAS 3.0 data environment designs and applies a spatial analysis database and a historical analysis database based on PostgreSQL and GBASE. This fills the performance bottlenecks of traditional databases and ensures efficient data storage and management functions. By integrating the Tianqing data collection, storage and monitoring, the CIPAS 3.0 data environment adopts a pluggable data processing framework based on profile to achieve automatic operation and construction of the whole process. Based on the standard meteorological service interface specifications, a data access interface with integrated numerical computation capabilities is provided. This not only improve the efficiency of realtime interactive computation, but also enhances the sensitivity to information such as data reporting and storage. The CIPAS 3.0 data environment design adopts OBS (Object Storage Service) for product management, and concurrently, a data monitoring system based on Tianjing has been constructed, which resolves the difficulties encountered in the daily operation and maintenance of CIPAS 3.0 such as data integrity monitoring, oneclick supplementary recording, and data source tracing. It actualises the support role of data collection, storage, processing, access, monitoring, and other links. Currently, the CIPAS 3.0 data environment is in operation, and its construction achievements have demonstrated its good potential for supporting business applications and development prospects through testing in national-level business units and pilot provinces. The future development of the CIPAS 3.0 data environment will be driven by demand to dynamically expand the types of data in the data environment; it will develop a general configurable system page to enable rapid data configuration and storage as needed, utilise matrix arithmetic to optimise the performance of the algorithm and interfaces of the spatial analysis database, implement automated operation and maintenance processes based on data perception and trigger message mechanisms, optimise data registration and review processes, alarm mechanisms, and automatic recovery, etc., to further enhance the supporting role of the CIPAS 3.0 data environment for business application capabilities.

    參考文獻
    相似文獻
    引證文獻
引用本文

劉北,王舒,吳煥萍,劉媛媛,胡昕,李玉,胡川葉.面向CIPAS3.0的氣候數據環境設計與實現[J].氣象科技,2023,51(6):917~926

復制
分享
文章指標
  • 點擊次數:
  • 下載次數:
  • HTML閱讀次數:
  • 引用次數:
歷史
  • 收稿日期:2022-07-20
  • 定稿日期:2023-05-18
  • 錄用日期:
  • 在線發布日期: 2023-12-28
  • 出版日期:
您是第位訪問者
技術支持:北京勤云科技發展有限公司
午夜欧美大片免费观看,欧美激情综合五月色丁香,亚洲日本在线视频观看,午夜精品福利在线
>