ARGO Black Sea database: storage and visualization

Elena Zhuk

doi:10.1117/12.2681583

21 September 2023 ARGO Black Sea database: storage and visualization

Elena Zhuk

Proceedings Volume 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023); 127861Q (2023) https://doi.org/10.1117/12.2681583
Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus

Abstract

The goal of this study is to develop a Black Sea regional online marine database access interface for ARGO profiles. Due to its exclusive focus on the ARGO data profiles gathered in the Black Sea, the ARGO Black Sea online web database offers quicker and simpler data access compared to the traditional full-functional ARGO data portals. The ARGO datasets were obtained between 2005 and 2021 and include profiles gathered from 42 ARGO floats from the free ARGO data access portals. The Black Sea ARGO profiles database was organized to keep meta data and data separately, and such a technique provides the functionality to optimize the search and the visualization of the data. Postgresql was selected as the database management system. The User Interface (UI) for online data access was created utilizing the map services mapbox gl and jQuery. The interface enables users to select the ARGO floats trajectories see the ARGO data profiles, download specific data profiles in ODV format, and pick ARGO floats trajectories using the ARGO ID from the relevant list that is readily available. A special software module was developed to enable automatic populating of database tables. The program reads, distributes, and stores data in the database in netCDF and csv formats. It also verifies that no double data rows are present. The Black Sea ARGO database can be used as a tool for statistical analysis of the marine ecosystems and sea currents, taking into account the trajectories of the ARGO floats as sea current tracers. It can also be used as a user-friendly data access interface to view the data.

Citation Download Citation

Elena Zhuk "ARGO Black Sea database: storage and visualization", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127861Q (21 September 2023); https://doi.org/10.1117/12.2681583

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KEYWORDS

Databases

Human-machine interfaces

Oceanography

Visualization

Data storage

Ecosystems

Software development

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