GETM-FABM-ERGOM model results for selected water quality indicators in the western Baltic Sea

Friedland, René

Experiment
Summary
Model results are provided for different water quality indicators from IOW’s western Baltic Sea model covering the region 9.4-17.3°E and 53.6-57°N with a horizontal resolution of approx. 600m. The model results show near-surface concentrations of Winter-DIN, Winter-DIP and Summer-chlorophyll (using May to September), as well as the annual number of hypoxic and anoxic days from the deepest layer. They are from a model simulation using GETM, to which the biogeochemical model ERGOM was coupled via FABM and are part of the DAM project PrimePrevention (https://www.marextreme.de/primeprevention). All water quality indicators are related to EU-MSFD Descriptor 5 (eutrophication). They are integrated per season or year for the time span 01 Jan 2010 to 31 Dec 2022.
Project
DAM_PrimePrevention (DAM PrimePrevention - Prediction of marine biological hazards to prevent socio-economic impacts; project: Monitoring, modelling and assessment of extreme weather events on marine biological hazards in the western Baltic Sea)
Contact
René Friedland (
 rene.friedland@nulliow.de
0000-0002-3690-666X)
Spatial Coverage
Longitude 9.4 to 17.3 Latitude 53.6 to 57
Temporal Coverage
2010-01-01 to 2022-12-31
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
258.52 MiB (271081132 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Review Date
2026-05-22
Cite as
Friedland, René (2026). GETM-FABM-ERGOM model results for selected water quality indicators in the western Baltic Sea. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=GFEWBS

BibTeX RIS
Funding
Federal Ministry of Research, Technology and Space
Grant/Award No: 03F0953D - DAM mareXtreme: PrimePrevention
Contact typePersonORCIDOrganization
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Is compiled by

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[2] DOI Bruggeman, Jorn; Bolding, Karsten. (2014). A general framework for aquatic biogeochemical models. doi:10.1016/j.envsoft.2014.04.002
[3] DOI Gräwe, Ulf; Holtermann, Peter; Klingbeil, Knut; Burchard, Hans. (2015). Advantages of vertically adaptive coordinates in numerical models of stratified shelf seas. doi:10.1016/j.ocemod.2015.05.008
[4] DOI Neumann, Thomas; Koponen, Sampsa; Attila, Jenni; Brockmann, Carsten; Kallio, Kari; Kervinen, Mikko; Mazeran, Constant; Müller, Dagmar; Philipson, Petra; Thulin, Susanne; Väkevä, Sakari; Ylöstalo, Pasi. (2021). Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2). doi:10.5194/gmd-14-5049-2021
[5] DOI Neumann, Thomas; Radtke, Hagen; Cahill, Bronwyn; Schmidt, Martin; Rehder, Gregor. (2022). Non-Redfieldian carbon model for the Baltic Sea (ERGOM version 1.2) – implementation and budget estimates. doi:10.5194/gmd-15-8473-2022
[6] Burchard, Hans; Bolding Kristensen, Karsten. (2002). GETM, a General Estuarine Transport Model . https://publications.jrc.ec.europa.eu/repository/handle/JRC23237
[Entry acronym: GFEWBS] [Entry id: 5369935]