"Application research of incorporating structured meteorological data into the \"Tianqing\" universal component"
Authors: 
lili Guan, Longping HuAuthors Info & Claims
Article No.: 81, Pages 1 - 6
Abstract
This article aims to study the integration of multi-source structured meteorological data in the meteorological big data cloud platform (Tianqing), and explore the importance of universal components in meteorological data integration. It reviews the current status and technical challenges of meteorological data integration, and designs a universal component based on the “Tianqing” framework. The component has functions of data cleaning, organization, and visualization, and can effectively integrate multi-source structured meteorological data. Through the verification of practical application examples, the effectiveness and feasibility of the component are demonstrated, providing new ideas and methods for meteorological data integration.
References
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Zhang H, Yang Q and Li L, 2019. Design of the Qinghai Province Meteorological Big Data Cloud Platform [J]. Qinghai Science and Technology 26, 3, 67-71.
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Qin Y, Wang Y and Zhang B, 2020. Research and Implementation of Provincial External Network Meteorological Big Data Service Platform [J]. Meteorological Science and Technology 48, 6, 823-828+854.
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Huang Z, Huang H, Liang W and Liang Y. 2022. Preliminary Exploration of Business Integration Design and Use Based on “Tianqing” DPL [J]. Meteorological Research and Application 1.
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Qi Y, Zeng X, Liang Y and Bai L. 2022. The Practice and Thinking of Integrating Guangxi Grid Forecast System into “Tianqing” [J]. Meteorological Research and Application 2, 111-116.
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- "Application research of incorporating structured meteorological data into the \"Tianqing\" universal component"
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Published In
September 2023
552 pages
ISBN:9781450399951
DOI:10.1145/3630138
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 January 2024
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- Research-article
- Research
- Refereed limited
Conference
PCCNT 2023
PCCNT 2023: 2023 International Conference on Power, Communication, Computing and Networking Technologies
September 24 - 25, 2023
Wuhan, China
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