Articles | Volume 8, issue 3
https://doi.org/10.5194/esd-8-801-2017
https://doi.org/10.5194/esd-8-801-2017
Research article
 | 
07 Sep 2017
Research article |  | 07 Sep 2017

Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO

Ute Daewel and Corinna Schrum

Related authors

Parameterisation toolbox for physical-biogeochemical model compatible with FABM. Case study: the coupled 1D GOTM-ECOSMO E2E for the Sylt-Romo Bight, North Sea
Hoa T. T. Nguyen, Ute Daewel, Neil Banas, and Corinna Schrum
EGUsphere, https://doi.org/10.5194/egusphere-2024-2710,https://doi.org/10.5194/egusphere-2024-2710, 2024
Short summary
Quantification and mitigation of bottom-trawling impacts on sedimentary organic carbon stocks in the North Sea
Lucas Porz, Wenyan Zhang, Nils Christiansen, Jan Kossack, Ute Daewel, and Corinna Schrum
Biogeosciences, 21, 2547–2570, https://doi.org/10.5194/bg-21-2547-2024,https://doi.org/10.5194/bg-21-2547-2024, 2024
Short summary
Compound flood events: analysing the joint occurrence of extreme river discharge events and storm surges in northern and central Europe
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023,https://doi.org/10.5194/nhess-23-1967-2023, 2023
Short summary
The 3D biogeochemical marine mercury cycling model MERCY v2.0 – linking atmospheric Hg to methylmercury in fish
Johannes Bieser, David J. Amptmeijer, Ute Daewel, Joachim Kuss, Anne L. Soerensen, and Corinna Schrum
Geosci. Model Dev., 16, 2649–2688, https://doi.org/10.5194/gmd-16-2649-2023,https://doi.org/10.5194/gmd-16-2649-2023, 2023
Short summary
ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic
Veli Çağlar Yumruktepe, Annette Samuelsen, and Ute Daewel
Geosci. Model Dev., 15, 3901–3921, https://doi.org/10.5194/gmd-15-3901-2022,https://doi.org/10.5194/gmd-15-3901-2022, 2022
Short summary

Related subject area

Earth system interactions with the biosphere: ecosystems
Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle
Lina Teckentrup, Martin G. De Kauwe, Gab Abramowitz, Andrew J. Pitman, Anna M. Ukkola, Sanaa Hobeichi, Bastien François, and Benjamin Smith
Earth Syst. Dynam., 14, 549–576, https://doi.org/10.5194/esd-14-549-2023,https://doi.org/10.5194/esd-14-549-2023, 2023
Short summary
Persistent La Niñas drive joint soybean harvest failures in North and South America
Raed Hamed, Sem Vijverberg, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 14, 255–272, https://doi.org/10.5194/esd-14-255-2023,https://doi.org/10.5194/esd-14-255-2023, 2023
Short summary
Spatiotemporal changes in the boreal forest in Siberia over the period 1985–2015 against the background of climate change
Wenxue Fu, Lei Tian, Yu Tao, Mingyang Li, and Huadong Guo
Earth Syst. Dynam., 14, 223–239, https://doi.org/10.5194/esd-14-223-2023,https://doi.org/10.5194/esd-14-223-2023, 2023
Short summary
Downscaling of climate change scenarios for a high-resolution, site-specific assessment of drought stress risk for two viticultural regions with heterogeneous landscapes
Marco Hofmann, Claudia Volosciuk, Martin Dubrovský, Douglas Maraun, and Hans R. Schultz
Earth Syst. Dynam., 13, 911–934, https://doi.org/10.5194/esd-13-911-2022,https://doi.org/10.5194/esd-13-911-2022, 2022
Short summary
Global climate change and the Baltic Sea ecosystem: direct and indirect effects on species, communities and ecosystem functioning
Markku Viitasalo and Erik Bonsdorff
Earth Syst. Dynam., 13, 711–747, https://doi.org/10.5194/esd-13-711-2022,https://doi.org/10.5194/esd-13-711-2022, 2022
Short summary

Cited articles

Alheit, J., Möllmann, C., Dutz, J., Kornilovs, G., Loewe, P., Mohrholz, V., and Wasmund, N.: Synchronous ecological regime shifts in the central Baltic and the North Sea in the late 1980s, ICES J. Mar. Sci., 62, 1205–1215, https://doi.org/10.1016/j.icesjms.2005.04.024, 2005.
Backhaus, J. O. and Hainbucher, D.: A Finite Difference General Circulation Model for Shelf Seas and Its Application to Low Frequency Variability on the North European Shelf, in: Three-Dimensional Models of Marine and Estuarine Dynamics, edited by: Nihoul, J. C. J. and Jamart, B. M., Elsevier Oceanography Series, 221–244, 1987.
Barthel, K., Daewel, U., Pushpadas, D., Schrum, C., Årthun, M., and Wehde, H.: Resolving frontal structures: on the payoff using a less diffusive but computationally more expensive advection scheme, Ocean Dynam., 62, 1457–1470, https://doi.org/10.1007/s10236-012-0578-9, 2012.
Beare, D. J., Burns, F., Greig, A., Jones, E. G., Peach, K., Kienzle, M., McKenzie, E., and Reid, D. G.: Long-term increases in prevalence of North Sea fishes having southern biogeographic affinities, Mar. Ecol. Prog. Ser., 284, 269–278, https://doi.org/10.3354/meps284269, 2004.
Beaugrand, G.: The North Sea regime shift: Evidence, causes, mechanisms and consequences, Prog. Oceanogr., 60, 245–262, https://doi.org/10.1016/j.pocean.2004.02.018, 2004.
Download
Short summary
Processes behind observed long-term variations in marine ecosystems are difficult to be deduced from in situ observations only. By statistically analysing a 61-year model simulation for the North Sea and Baltic Sea and additional model scenarios, we identified major modes of variability in the environmental variables and associated those with changes in primary production. We found that the dominant impact on changes in ecosystem productivity was introduced by modulations of the wind fields.
Altmetrics
Final-revised paper
Preprint