Simulations of flows in the coastal zone of the Baltic Sea - Open Research Data - Bridge of Knowledge

Your account

login

Search

Simulations of flows in the coastal zone of the Baltic Sea

Description

The study area is located in the Southern Baltic, within Polish Marine Areas, adjacent to the coastline in the vicinity of Lubiatowo village, where The Coastal Research Station (CRS) – a field laboratory of the Institute of Hydro-Engineering of the Polish Academy of Sciences (IBW PAN) –is situated. The numerical reconstruction of the coastal flow was performed with the use of XBeach model (Roelvink et al., 2010). The model solves coupled 2D horizontal equations for wave propagation, flow, sediment transport and bottom changes. XBeach model settings which were applied for the purposes of this calculations: (i) neglecting of sediment transport and bottom changes, (ii) wave current interaction option, (iii) stationary wave boundary condition at the seaward boundary, which means that a uniform, constant wave energy distribution is set, based on the given values of wave height and period; Neumann lateral boundaries (iv) the roller model which can give a shoreward shift in a wave-induced setup, return flow and longshore current. The gap in the bar was artificially introduced into the bathymetry in order to simulate the rip channel.

Presented dataset consists of output of XBeach model simulations (xboutput.nc) for wave conditions described in  A. Dudkowska, et al.: Rip currents in the non-tidal surf zone with sandbars: numerical analysis versus field measurement (2020).  The model parameters are included in text files (params.txt).

Dataset file

CoastalFlows_tars.zip
12.6 GB, S3 ETag 12196a71f4b076eced933cf6e9284e3e-26, downloads: 84
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file CoastalFlows_tars.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Software:
Network Common Data Form (NetCDF)

Details

Year of publication:
2020
Verification date:
2020-12-17
Dataset language:
English
Fields of science:
  • Earth and related environmental sciences (Natural sciences)
DOI:
DOI ID 10.34808/yy5r-dn47 open in new tab
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

Authors

seen 427 times