Article Details

Abstract

According to the audit rules of acid rain observation in the national standard acid rain observation specification, this paper develops a monthly acid rain observation data file audit software using IDL. This software has the functions of report analysis and data audit, and can check and audit the station parameters, monthly statistical data, daily observation data, additional parameters, current equipment status, and notes in the acid rain report files. The inspection content includes format checking, limit value checking, internal consistency checking, data consistency and accuracy checking, and finally the software forms audit sheets for output inspection results for reference by business personnel. The development of monthly acid rain observation data file audit software is helpful to the standardized management of automatic audit of relevant data in the industry.

Keywords

IDL; acid rain observation; data audit; software development

References

1. [1] Fu Na, Chen Baode, Tan Yan, etc Spatial Quality Control and Characteristic Analysis of Temperature Data from Shanghai Automatic Station [J]. Journal of Atmospheric Science, 2014, 37 (2): 199-207
2. [2] Huang Chunxi, Guo Yang, Chen Beiying, etc Development of IDL based software for reviewing surface meteorological observation reports in Tanggu Salt Field [J]. Tianjin Science and Technology, 2023, 50 (8): 30-35
3. [3] Zhang Yaxin, Su Dinghua, Yang Lijuan Research and Implementation of Quality Control Method for Radiation Monthly Report [J]. Meteorological Research and Application, 2012, 33 (3): 55-57+73
4. [4] Cheng Zhaojin, Zhuang Liwei, Wu Menxin, etc Design and Implementation of Agricultural Meteorological Observation Record Annual Report Review System [J]. Arid Meteorology, 2019, 37 (3): 490-495
5. [5] National Climate and Climate Change Standardization Technical Committee Atmospheric Composition Observation, Forecasting and Early Warning Service Sub Technical Committee Acid Rain Observation Specification: GB/T 19117-2017 [S]. Beijing: China National Standards Press, 2017
6. [6] China Meteorological Administration Ground Meteorological Observation Specification [M]. Beijing: Meteorological Publishing House, 2003
7. [7] National Technical Committee for Standardization of Meteorological Basic Information Classification and coding of meteorological elements: QX/T 133-2011 [S]. Beijing: Meteorological Publishing House, 2011
8. [8] National Technical Committee for Standardization of Meteorological Basic Information Ground Quality Control of Meteorological Observation Data: QX/T 118-2020 [S]. Beijing: Meteorological Publishing House, 2020
9. [9] China Meteorological Administration Meteorological Data Archiving Format Ground: QX/T 119-2021 [S]. Beijing: Meteorological Publishing House, 2022
10. [10] Hou Lipeng, Yang Shengtian, Zhao Changsen, etc Development and Application of a Remote Sensing Hydrological Spatiotemporal Sequence Data Visualization Analysis System Based on IDL [J]. Remote Sensing Technology and Applications, 2014, 29 (6): 1074-1080

About the authors

Chen Beiying (1988-), female, Han ethnicity, Tianjin native, engineer, master's degree, research direction: ground meteorological observation research; Corresponding author: Huang Chunxi (1989-), male, Han ethnicity, Tianjin native, engineer, bachelor's degree, research direction: data quality control research; Guo Yang (1990-), male, Han nationality, from Cangzhou, Hebei Province, engineer, PhD, research direction: data quality control research; Feixiang (1992-), male, Han nationality, from Bengbu, Anhui, engineer, master's degree, research direction: data quality control research; Jinjin (1982-), female, Daur ethnicity, Tianjin native, engineer, bachelor's degree, research direction: data quality control research.