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has been cited by the following article:

• TITLE: MeteoRead: Client Software for Inserting Observed Atmospheric Data into MySQLTM Database and Downloading them into Different File Format

  AUTHORS: Beáta Szabó-Takács, Tamás Takács, Aleš Roček

  KEYWORDS: JavaTM Language, MySQLTM, Database, Atmospheric Data, Global Change

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.14 No.10, October 18, 2021

  ABSTRACT: The investigation of the tendency of climate change and its effects on ecology, economy and sociology is essential for long term policy making. The long-term measurement of the physical and chemical properties of the atmosphere with state-of-the-arts instruments provides high-quality data for these studies. The evaluated data are stored in really special file structures and formats that cannot be inserted in one common database. Moreover, the observed data usually available in ASCII format and the users sometimes need to convert them in other format. The file conversion is usually time consuming procedure and can contribute to the uncertainties. MeteoRead is a client database software that imports the observed atmospheric data e.g. wind direction, wind speed, aerosol particle concentration etc. and makes them available in different file formats, which are most commonly used in climate research. This JavaTM based program applies the Structured Query Language (SQL) functions such as table creation on a database server, data or figures insertion into the table and data selection via Graphical User Interface. The selected data can be stored in NetCDF, HDF5, DataBase or TXT file formats and the figures can be available in PNG, JPG, JPNG, PDF or GIF file formats. The program was tested on Linux and Windows platforms with different JavaTM Development Kit. The MeteoRead is planned to be developed to visualizing the annual, seasonal, monthly, daily or hourly average value of the selected data and to use the functionality of the SQL database to calculate various mathematical and statistical correlations.