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@book{2379857, author = {SZABÓandTAKÁCS, BEÁTA and TAKÁCS, TAMÁS and Roček, Aleš}, address = {London}, doi = {http://dx.doi.org/10.9734/bpi/taer/v2}, edition = {Vol. 2}, keywords = {JavaTM Language, MySQLTM, database, atmospheric data, global change}, howpublished = {tištěná verze "print"}, location = {London}, isbn = {978-81-969141-9-6}, publisher = {B P International}, title = {Meteo Read: Client Software for Inserting Observed Atmospheric Data into MySQLTM Database}, year = {2023} }
TY - BOOK ID - 2379857 AU - SZABÓ-TAKÁCS, BEÁTA - TAKÁCS, TAMÁS - Roček, Aleš PY - 2023 TI - Meteo Read: Client Software for Inserting Observed Atmospheric Data into MySQLTM Database VL - 2023/BP/6972E PB - B P International CY - London SN - 9788196914196 KW - JavaTM Language, MySQLTM, database, atmospheric data, global change N2 - Investigating the tendency of climate change and its effects on ecology, economy and sociology is essential for long-term policy making. The long-term measure-ment of the physical and chemical properties of the atmosphere with state-of-the-art instruments provides high-quality data for these studies. 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 most commonly used in climate re-search. 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 Mete-oRead is planned to be developed to visualise 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. ER -
SZABÓ-TAKÁCS, BEÁTA, TAMÁS TAKÁCS a Aleš ROČEK. \textit{Meteo Read: Client Software for Inserting Observed Atmospheric Data into MySQLTM Database}. Vol. 2. London: B P International, 2023, 176 s. 2023/BP/6972E. ISBN~978-81-969141-9-6. Dostupné z: https://dx.doi.org/10.9734/bpi/taer/v2.
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