Abstract
The paper describes the oceanographic data access system developed at MHI RAS. The data access system is based on a Client–Server Architecture using the Model-View-Controller (MVC), which was realised using the free and open source Django framework. The PostgreSQL object-relational DBMS was implemented for archiving the oceanographic data. The part of the database responsible for accessing the oceanographic metadata is interactive, using the OLTP access template. The in-situ data archiving module was developed in accordance with the “star” architecture, which is typical for the OLAP access template. The user interface (UI) is developed using Django templates, jQuery and mapBox GL for visualization of maps. The data exchange between UI and the Server is provided in JSON format. The user’s access to the oceanographic database is provided through web-sessions. The UI allows the selection of oceanographic data using several criteria/filters, such as: cruises (cruise name, ship name, cruises year), region, time period, season, parameters. The authorized users of the online oceanographic data access system of the MHI RAS can download the requested data, after receiving individual permission.
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References
Eremeev V., Khaliulin A., Godin E., Ingerov A., Belokopytov V., Zhuk E., Galkovskaya L., Isaeva E., Problemno-orientirovannaya geoinformacionnaya systema Chernogo morya // Ustoichyvost i evoluciya okenologicheskyh harakteristik ekosystemy Chernogo morya. – SEvastopol: EKOCY – Gydrophysica, 2012. – C. 8 – 31.
Eremeev V., Khaliulin A., Ingerov A., Zhuk E., Godin E., Plastun T. Sovremennoe sostoyanye banka okeanographicheskyh dannyh MHI NAN Ukrainy: programno-matematicheskoe obespechenye // Morskoy gydrophysicheskyi jurnal, 2014, № 2, C. 54-66, ISSN 0233-7584.
Zhuk, E., A. Khaliulin, G. Zodiatis, A. Nikolaidis, E. Isaeva/ Black Sea GIS developed in MHI Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96881C (August 12, 2016); doi: https://doi.org/10.1117/12.2241631 Volume 9688 http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2545474.
A.Yu. Basykina*, E.V. Zhuk, A.Kh. Khaliulin “ The Geo-Information System Application for Display of the Tsunami Type Long Wave Propagation Modeling Results in the Black Sea Coastal Area” / Physical Oceanography, 2017, №3, c. 74–81; DOI: https://doi.org/10.22449/0233-7584-2017-3-74-81.
Zhuk, E., Vecalo, M., and Ingerov, A.: The new online Black Sea Oceanographic Database, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020–873, https://doi.org/10.5194/egusphere-egu2020–873, 2019.
GEBCO https://www.gebco.net/data_and_products/gridded_bathymetry_data/.
EDMO https://www.seadatanet.org/Metadata/EDMO-Organisations.
P01 http://seadatanet.maris2.nl/v_bodc_vocab_v2/search.asp?lib=P01.
P02 http://seadatanet.maris2.nl/v_bodc_vocab_v2/search.asp?lib=P02.
P06 http://seadatanet.maris2.nl/v_bodc_vocab_v2/search.asp?lib=P06.
L05 http://seadatanet.maris2.nl/v_bodc_vocab_v2/search.asp?lib=L05.
Django https://www.djangoproject.com/.
jQuery https://jquery.com/.
Mapbox GL JS https://www.mapbox.com/mapbox-gljs.
Elena Zhuk, “The Black Sea oceanographic web GIS interface new developments,” Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 1152413 (26 August 2020); https://doi.org/10.1117/12.2570979.
Acknowledgements
This work is carried out within the framework of the state assignment: 0555-2021-0003 “Development of methods of operational oceanology based on interdisciplinary research of the formation and evolution of the marine environment and mathematical modeling using data from remote and contact measurements” (code “Operational Oceanology”).
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Zhuk, E.V. (2022). The System of Storage and Access to the Black Sea Oceanographic Data. In: Karev, V.I. (eds) Physical and Mathematical Modeling of Earth and Environment Processes. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-99504-1_26
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DOI: https://doi.org/10.1007/978-3-030-99504-1_26
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