Provincial Data Quality Control Strategy for the Operating Platform of Meteorological Data Business System

Meteorological data is the record and forecast of meteorological changes. It can provide certain guidance for people’s production and life, so it is an important information content. Therefore, the current meteorological data management has been transformed from the traditional manual management mode to the business system operating platform management mode, which can better complete the collection, storage, and analysis of meteorological data, and improve the efficiency of meteorological data and data processing. This paper mainly analyzes the role of the operating platform of the meteorological data business system and summarizes the sources of meteorological data misinformation and data quality control strategies to ensure the reliability of meteorological data.

References

Hu W, Xiong X, Wei MD, et al., 2023, Meteorological Data Service Monitoring System and Data Transmission Quality Analysis. Meteorological Hydrology and Oceanographic Instruments, 40(1): 32–33 + 37.

Yang M, Luo G, Tang J, 2023, Application and Quality Control Measures of MDOS in Meteorological Data Business. Automation and Application, 64(16): 7–9.

Lv CY, Wu W, Huang XM, 2023, Analysis and Evaluation of Observation Data Quality of Automatic Surface Meteorological Station in Sichuan Province. Plateau and Mountain Meteorological Research, 43(3): 130–136.

Han B, Zhang M, Su LY, et al., 2024, Design and Implementation of Data Quality Control System for Automatic Weather Station. Science and Technology Innovation and Application, 14(20): 13–16.

Chen XH, Kong LW, Cai YC, 2024, Research on Application Program of Data Quality Evaluation of Regional Automatic Weather Station in Gansu Province. Qinghai Science and Technology, 31(1): 138–143.

Gao ZY, He YF, Yang M, 2023, Processing and Quality Analysis of Aircraft Meteorological Observation Data in Hangzhou. Meteorological Science and Technology, 51(6): 794–804.

Fan HF, 2022, Development and Application of Real-time Upper-air Meteorological Data Quality Control System. Journal of Ningxia University (Natural Science Edition), 43(3): 298–303.

Zheng YP, Ma Y, Han YQ, 2019, Discussion on Methods to Improve the Availability of Observation Data of Automatic Weather Station. Qinghai Science and Technology, 31(2): 119–122.

Wang SF, Jia YC, Guo XX, 2022, Design and Implementation of Meteorological Data Transmission Monitoring and SMS Alarm System. Yangtze River Information and Communication, 35(7): 79–80 + 83.

Liu X, Zhao XL, Wang L, 2022, Quality Analysis and Enlightenment of Metadata Files of Sichuan Ground Meteorological Stations. China Management Informationization, 2022(5): 184–189.

Peng J, Wang XF, Fu XS, et al., 2023, Observation Quality Evaluation of Millimeter-wave Cloud Radar in Shanghai Area for Operational Application. Chinese Journal of Atmospheric Sciences, 46(3): 466–480.

Long XQ, Cao P, 2019, Study on the Distribution Characteristics of Air Quality Index and its Relationship with Meteorological Factors in 14 Cities in Hunan Province. Agricultural Disaster Research, 13(4): 73–75 + 88.

Gao T, Chen TX, Jiang Y, et al., 2022, Journal of Hainan University (Natural Science Edition), 40(3): 280–286.

Shi CX, Xie ZH, Liu RX, et al., 2023, Research on Multi-source Meteorological Data Fusion Technology and Product Development. Science and Technology Achievements Management and Research, 18(8): 58–61.

Xu Y, 2022, Maintenance and Review Method of Surface Automatic Meteorological Observation Data File. Geological Research and Environmental Protection, 1(4): 119–121.

Previous article in this issue

Next article in this issue