Hydrodynamic reanalysis of ice conditions in the Baltic Sea using the PM3D model
The dataset contains the results of numerical modeling of sea ice in the Baltic Sea since 1998. A long-term reanalysis was performed using the three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). A numerical dynamic...
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| Format: | Dataset |
| Language: | English |
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Gdańsk University of Technology
2021
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| Online Access: | https://dx.doi.org/10.34808/b443-2s40 https://mostwiedzy.pl/en/open-research-data/hydrodynamic-reanalysis-of-ice-conditions-in-the-baltic-sea-using-the-pm3d-model,827110759859999-0 |
| Summary: | The dataset contains the results of numerical modeling of sea ice in the Baltic Sea since 1998. A long-term reanalysis was performed using the three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). A numerical dynamic-thermodynamic model of sea ice (Herman et al. 2011) was coupled to the analysis of ice conditions variability. The model is based on the Princeton Ocean Model (POM) developed at Princeton University (Blumberg and Mellor, 1987). Like POM, the M3D/PM3D model uses the Mellor-Yamada turbulence scheme and sigma vertical coordinates. The simulation was carried out in a rectangular grid of 3' (latitude) and 6' (longitude) resolution. The spatial resolution was 3 nautical miles, i.e. about 5.5 km. An open boundary was located between the Skagerrak and the Kattegat along the parallel connecting Skagen and Göteborg, where the water exchange with the North Sea takes place. A radiation condition based on Somerfield’s concept for velocities vertically averaged and normal to the boarder plane was applied. Weather forcing since 1998 was carried out using the results of operational numerical forecasts conducted by ICM University of Warsaw using the Unified Model (UM) developed by Met Office. The PM3D model uses the assimilation of sea surface temperature from the satellite (SST) and measurements of salinity and water temperature from ships at standard depths as part of ICES monitoring. Daily spatial distributions of sea ice thickness and concentration were recorded in the model's computational grid in unprojected form (LatLong, WGS 84, EPSG: 4326). Ice thickness is expressed in meters and ice concentration (fraction) is expressed as the ratio of the ice covered area to the total area of the grid. Comparison of modeled and observed (FMI) maximum ice extent in the Baltic Sea (a), (c) and ice thickness at FMI stations (b) Airisto and (d) Hailuoto |
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