eBalticGrid - an interactive platform for the visualisation of results from a high-resolution operational Baltic Sea model

Abstract

In recent years, modelling has been one of the fastest growing fields of science. Ocean, ice and atmospheric models have become a powerful tool that has supported many scientific fields during the last few decades. Our work presents the new operational service – called eBalticGrid – implemented into the PLGrid Infrastructure (Dziekoński et al. 2014). The grid is based on three modelling tools – an ocean model (Parallel Ocean Program), an ice model (Community Ice Code) and an atmospheric model (Whether Research and Forecasting Model). The service provides access to 72-hour forecasts for the Baltic Sea area. It includes the physical state of the Baltic Sea, its ice cover and the main atmospheric fields, which are the key drivers of the Baltic’s physical state. Unlike other services, this provides the additional three-dimensional fields of temperature, salinity and currents in the Baltic Sea. The models work in operational mode and currently one simulation per day is run. The service has been implemented mostly for researchers. Access to the results does not require any modelling knowledge. Therefore, the main interface between a user and the model results was designed as a portal providing easy access to the model’s output. It will also be a very suitable tool for teaching students about the hydrology of the Baltic Sea. Data from the system are delivered to another operational system – SatBaltic (Woźniak et al. 2011). The development of an output format to be suitable for navigational software (GRIB files) and sharing via FTP is also planned.

Authors and Affiliations

Jaromir Jakacki

Keywords

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  • EP ID EP544667
  • DOI 10.26491/mhwm/68898
  • Views 36
  • Downloads 0

How To Cite

Jaromir Jakacki (2017). eBalticGrid - an interactive platform for the visualisation of results from a high-resolution operational Baltic Sea model. Meteorology Hydrology and Water Management Research and Operational Applications, 5(2), 13-20. https://europub.co.uk/articles/-A-544667