Articles | Volume 22, issue 2
https://doi.org/10.5194/os-22-761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-22-761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Response of a semi-enclosed sea to perturbed freshwater and open ocean salinity forcing
Department of Research and Development, Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Magnus Hieronymus
Department of Research and Development, Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Per Pemberton
Department of Research and Development, Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Department of Research and Development, Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Sam T. Fredriksson
Department of Research and Development, Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
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The temperature and salinity trends at various depths in the Baltic basins from 1990 to 2020 were analyzed from a reasonable reanalysis data set. Overall, the Baltic Sea showed a clear warming trend in recent decades, the northern Baltic Sea has a slight desalination trend, and the southern Baltic Sea has a salinity increase trend. The temperature and salinity trends in the southern Baltic Sea are greater than those in the northern Baltic Sea.
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Itzel Ruvalcaba Baroni, Elin Almroth-Rosell, Lars Axell, Sam T. Fredriksson, Jenny Hieronymus, Magnus Hieronymus, Sandra-Esther Brunnabend, Matthias Gröger, Ivan Kuznetsov, Filippa Fransner, Robinson Hordoir, Saeed Falahat, and Lars Arneborg
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Julia Muchowski, Martin Jakobsson, Lars Umlauf, Lars Arneborg, Bo Gustafsson, Peter Holtermann, Christoph Humborg, and Christian Stranne
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Acoustic and satellite observations of turbulent ship wakes show that ships can mix the water column down to 30 m depth and that a temperature signature of the wake can last for tens of kilometres after ship passage. Turbulent wakes deeper than 12 m were frequently detected, which is deeper than previously reported. The observed extent of turbulent ship wakes implies that in areas with intensive ship traffic, ship mixing should be considered when assessing environmental impacts from shipping.
Cited articles
Arneborg, L.: Comment on “Influence of sea level rise on the dynamics of salt inflows in the Baltic Sea” by R. Hordoir, L. Axell, U. Löptien, H. Dietze, and I. Kuznetsov, Journal of Geophysical Research: Oceans, 121, 2035–2040, https://doi.org/10.1002/2015JC011451, 2016.
Arneborg, L., Hieronymus, M., Pemberton, P., Liu, Y., and Fredriksson, S.: Dataset for Response of a semi-enclosed sea to perturbed freshwater and open ocean salinity forcing, Zenodo [data set], https://doi.org/10.5281/zenodo.18199627, 2026.
Balmaseda, M. A., Mogensen, K., and Weaver, A. T.: Evaluation of the ECMWF ocean reanalysis system ORAS4, Q. J. Roy. Meteor. Soc., 139, 1132–1161, https://doi.org/10.1002/qj.2063, 2013.
Bruciaferri, D., Shapiro, G. I., and Wobus, F.: A Multi-Envelope Vertical Coordinate System for Numerical Ocean Modelling, Ocean Dynamics, 68, 1239–1258, https://doi.org/10.1007/s10236-018-1189-x, 2018.
Burchard, H., Bolding, K., Feistel, R., Gräwe, U., Klingbeil, K., MacCready, P., Mohrholz, V., Umlauf, L., and van der Lee, E. M.: The Knudsen theorem and the Total Exchange Flow analysis framework applied to the Baltic Sea, Progress in Oceanography, 165, 268–286, https://doi.org/10.1016/j.pocean.2018.04.004, 2018.
Cokelet, E. D. and Stewart, R. J.: The exchange of water in fjords: The efflux/reflux theory of advective reaches separated by mixing zones, Journal of Geophysical Research: Oceans, 90, 7287–7306, 1985.
Dahlgren, P., Landelius, T., Kållberg, P., and Gollvik, S.: A high-resolution regional reanalysis for Europe. Part 1: Three-dimensional reanalysis with the regional HIgh-Resolution Limited-Area Model (HIRLAM), Q. J. Roy. Meteor. Soc., 142, 2119–2131, https://doi.org/10.1002/qj.2807, 2016.
Donnelly, C., Andersson, J., and Arheimer, B.: Using flow signatures and catchment similarities to evaluate a multi-basin model (E-HYPE) across Europe, Hydrolog. Sci. J., 61, 255–273, https://doi.org/10.1080/02626667.2015.1027710, 2016.
Gröger, M., Placke, M., Meier, H. E. M., Börgel, F., Brunnabend, S.-E., Dutheil, C., Gräwe, U., Hieronymus, M., Neumann, T., Radtke, H., Schimanke, S., Su, J., and Väli, G.: The Baltic Sea Model Intercomparison Project (BMIP) – a platform for model development, evaluation, and uncertainty assessment, Geosci. Model Dev., 15, 8613–8638, https://doi.org/10.5194/gmd-15-8613-2022, 2022.
Haid, V., Stanev, E. V., Pein, J., Staneva, J., and Chen, W.: Secondary circulation in shallow ocean straits: observations and numerical modeling of the Danish Straits, Ocean Modelling, 148, 101585, https://doi.org/10.1016/j.ocemod.2020.101585, 2020.
Hordoir, R., Axell, L., Löptien, U., Dietze, H., and Kuznetsov, I.: Influence of sea level rise on the dynamics of salt inflows in the Baltic Sea, Journal of Geophysical Research: Oceans, 120, 6653–6668, https://doi.org/10.1002/2014JC010642, 2015.
Hordoir, R., Axell, L., Höglund, A., Dieterich, C., Fransner, F., Gröger, M., Liu, Y., Pemberton, P., Schimanke, S., Andersson, H., Ljungemyr, P., Nygren, P., Falahat, S., Nord, A., Jönsson, A., Lake, I., Döös, K., Hieronymus, M., Dietze, H., Löptien, U., Kuznetsov, I., Westerlund, A., Tuomi, L., and Haapala, J.: Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications, Geosci. Model Dev., 12, 363–386, https://doi.org/10.5194/gmd-12-363-2019, 2019.
Janssen, F., Schrum, C., and Backhaus, J. O.: A Climatological Data Set of Temperature and Salinity for the Baltic Sea and the North Sea, Deutsche Hydrographische Zeitschrift, 51, 5–245, https://doi.org/10.1007/BF02933676, 1999.
Knudsen, M.: Ein hydrographischer Lehrsatz, Hydrogr. Mar. Meteorol., 28, 316–320, 1900.
Lehmann, A., Myrberg, K., Post, P., Chubarenko, I., Dailidiene, I., Hinrichsen, H.-H., Hüssy, K., Liblik, T., Meier, H. E. M., Lips, U., and Bukanova, T.: Salinity dynamics of the Baltic Sea, Earth Syst. Dynam., 13, 373–392, https://doi.org/10.5194/esd-13-373-2022, 2022.
MacCready, P.: Calculating estuarine exchange flow using isohaline coordinates, J. Phys. Oceanogr., 41, 1116–1124, https://doi.org/10.1175/2011JPO4517.1, 2011.
Meier, H. M. and Kauker, F.: Sensitivity of the Baltic Sea salinity to the freshwater supply, Climate Research, 24, 231–242, https://doi.org/10.3354/cr024231, 2003.
Meier, H. E. M., Höglund, A., Eilola, K., and Almroth-Rosell, E.: Impact of accelerated future global mean sea level rise on hypoxia in the Baltic Sea, Climate Dynamics, 49, 163–172, https://doi.org/10.1007/s00382-016-3333-y, 2017.
Meier, H. E. M., Eilola, K., Almroth-Rosell, E., Schimanke, S., Kniebusch, M., Höglund, A., Pemberton, P., Liu. Y., Väli, G., and Saraiva, S.: Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850, Climate Dynamics, 53, 1145–1166. https://doi.org/10.1007/s00382-018-4296-y, 2019.
Meier, H. E. M., Barghorn, L., Börgel, F., Gröger, M., Naumov, L., and Radtke, H.: Multidecadal climate variability dominated past trends in the water balance of the Baltic Sea watershed, npj Climate and Atmospheric Science, 6, 58, https://doi.org/10.1038/s41612-023-00380-9, 2023.
Meier, M. H. E., Dieterich, C., and Gröger, M.: Natural variability is a large source of uncertainty in future projections of hypoxia in the Baltic Sea, Communications Earth & Environment, 2, 50, https://doi.org/10.1038/s43247-021-00115-9, 2021.
Mohrholz, V.: Major Baltic inflow statistics–revised, Frontiers in Marine Science, 5, 384, https://doi.org/10.3389/fmars.2018.00384, 2018.
Molodtsov, S., Marinov, I., Weijer, W., DeSantis, D., Jonko, A., Veneziani, M., and Lu, J.: North Atlantic temperature and salinity changes are driven by external forcing, underestimated by CMIP6 models, npj Climate and Atmospheric Science, 8, 332, https://doi.org/10.1038/s41612-025-01210-w, 2025.
Pemberton, P., Löptien, U., Hordoir, R., Höglund, A., Schimanke, S., Axell, L., and Haapala, J.: Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea, Geosci. Model Dev., 10, 3105–3123, https://doi.org/10.5194/gmd-10-3105-2017, 2017.
Pemberton, P., Mulder, E., and Bruciaferri, D.: Implementation and Evaluation of Multi-Envelope s-Coordinates in a NEMO4.2 Configuration of the North Sea–Baltic Sea System, Geosci. Model Dev., in preparation, 2026.
Quante, M. and Colijn, F.: North Sea region climate change assessment, Springer Nature, 528 pp., https://doi.org/10.1007/978-3-319-39745-0, 2016.
Radtke, H., Brunnabend, S.-E., Gräwe, U., and Meier, H. E. M.: Investigating interdecadal salinity changes in the Baltic Sea in a 1850–2008 hindcast simulation, Clim. Past, 16, 1617–1642, https://doi.org/10.5194/cp-16-1617-2020, 2020.
Rodhe, J. and Winsor, P.: On the influence of the freshwater supply on the Baltic Sea mean salinity, Tellus A: Dynamic Meteorology and Oceanography, 55, 455–456, https://doi.org/10.3402/tellusa.v54i2.12134, 2003.
Saraiva, S., Meier, H. M., Andersson, H., Höglund, A., Dieterich, C., Gröger, M., Hordoir, R., and Eilola, K.: Uncertainties in projections of the Baltic Sea ecosystem driven by an ensemble of global climate models, Frontiers in Earth Science, 6, 244, https://doi.org/10.3389/feart.2018.00244, 2019.
Schimanke, S. and Meier, H. M.: Decadal-to-centennial variability of salinity in the Baltic Sea, Journal of Climate, 29, 7173–7188, https://doi.org/10.1175/JCLI-D-15-0443.1, 2016.
She, J., Berg, P., and Berg, J.: Bathymetry impacts on water exchange modelling through the Danish Straits, J. Marine Syst., 65, 450–459, https://doi.org/10.1016/j.jmarsys.2006.01.017, 2007.
Stigebrandt, A.: A model for the exchange of water and salt between the Baltic and the Skagerrak, Journal of Physical Oceanography, 13, 411–427, 1983.
Stigebrandt, A. and Gustafsson, B. G.: Response of the Baltic Sea to climate change – theory and observations, Journal of Sea Research, 49, 243–256, https://doi.org/10.1016/S1385-1101(03)00021-2, 2003.
Wåhlström, I., Hammar, L., Hume, D., Pålsson, J., Almroth-Rosell, E., Dieterich, C., Arneborg, L., Gröger, M., Mattsson, M., Snowball, L. Z., Kågesten, G., Törnqvist, O., Breviere, E., Brunnabend, S.-E., and Jonsson, P. R.: Projected climate change impact on a coastal sea – As significant as all current pressures combined, Global Change Biology, 28, 5310–5319, https://doi.org/10.1111/gcb.16312, 2022.
Walin, G.: A theoretical framework for the description of estuaries, Tellus, 29, 128–136, https://doi.org/10.3402/tellusa.v29i2.11337, 1977.
Short summary
Climate change influences estuaries and their ecosystems not only by rising temperatures but also by salinity changes. This modeling study highlights the magnitude and causes of the Baltic Sea salinity sensitivity to fresh water forcing and changed ocean salinity. The large sensitivity to increased fresh water forcing is shown to be caused by dilution of fresh water within the estuary, recirculation of much of the outflow water back into the estuary, as well as decreasing inflows of ocean water.
Climate change influences estuaries and their ecosystems not only by rising temperatures but...