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

Friedland, René

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

doi:10.26050/WDCC/GFEWBS

Friedland, René

ExperimentDOI

Hypoxia model data MSFD Nutrients water quality

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 for 2010 to 2022. These variables were chosen as they are used water quality indicators by EU-MSFD Descriptor 5 (eutrophication). 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). The provided experiment supports the analysis of already occurred extreme events, helps to identify cascade effects and assesses how biological hazards (like algae blooms or oxygen deficiency events) got impacted by extreme events.
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: 2026-05-07
Review Date: 2026-06-10

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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://doi.org/10.26050/WDCC/GFEWBS

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Funding: Federal Ministry of Research, Technology and Space
Grant/Award No: 03F0953D - DAM mareXtreme: PrimePrevention

FAIR

F-UJI result: total 76.92 %

Description: Summary:
Findable: 6 of 7 level;
Accessible: 3 of 7 level;
Interoperable: 6 of 6 level;
Reusable: 5 of 6 level
Method: F-UJI WDCC service v3.5.0 metrics_v0.8
Method Description: Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.15045911 Metric Version: metrics_v0.8
Method Url: https://www.f-uji.net
Result Date: 2026-06-10

Scientific Quality Assurance (SQA)

SQA - Scientific Quality Assurance 'approved by author'

Result Date: 2026-05-29

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance 'approved by WDCC'

Description: 1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method: WDCC-TQA checklist
Method Description: Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url: https://www.wdc-climate.de/docs/WDCC_User_Guide.pdf
Result Date: 2026-05-29

Contact type	Person	ORCID	Organization
Contact	René Friedland	0000-0002-3690-666X	Leibniz Institute for Baltic Sea Research Warnemuende
Author	René Friedland	0000-0002-3690-666X	Leibniz Institute for Baltic Sea Research Warnemuende
Investigator	René Friedland	0000-0002-3690-666X	Leibniz Institute for Baltic Sea Research Warnemuende
Funder	-	-	Federal Ministry of Research, Technology and Space

Is compiled by

[1] DOI Neumann, Thomas; Fennel, Wolfgang; Kremp, Christine. (2002). Experimental simulations with an ecosystem model of the Baltic Sea: A nutrient load reduction experiment. doi:10.1029/2001gb001450

[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

Attached Datasets ( 1 )

Parent project(s)

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

[Entry acronym: GFEWBS] [Entry id: 5369935]