- Löptien, U. and Dietze, H. (2022). Ambiguous controls on simulated diazotrophs in the world oceans. Nature Scientific Reports 12, art.nr. 17784. https://www.nature.com/articles/s41598-022-22382-y
- Löptien, U. and Dietze, H. (2022). Retracing cyanobacteria blooms in the Baltic Sea. Nature Scientific Reports 12, art.nr. 10873. https://www.nature.com/articles/s41598-022-14880-w
- Hordoir, R., Skagseth, Ø., Ingvaldsen, R. B., Sand, A. B., Löptien, U., Dietze, H., Gierisch, A. M. U., Assmann, K. M., Lundesgaard, Ø.. and Lind, S. (2022) Changes in Arctic Stratification and Mixed Layer Depth Cycle: A Modeling Analysis. Journal of Geophysical Research: Oceans, 127 (1). Art.Nr. e2021JC017270. https://doi.org/10.1029/2021JC01727
- Dilmahamod, A.F., Karstensen, J., Dietze, H., Löptien, U. and Fennel, K. (2022) Generation mechanisms of mesoscale eddies in the Mauritanian Upwelling Region. Journal of Physical Oceanography 52, 161-182. https://doi.org/10.1175/JPO-D-21-0092,1https://doi.org/10.1175/JPO-D-21-0092.1
- Löptien, U., Dietze, H., Preus, R. and v. Toussaint, U. (2021). Mapping manifestations of parametric uncertainty in projected pelagic oxygen concentrations back to contemporary local model fidelity. Nature Scientific Reports 11, art.nr. 20949. https://www.nature.com/articles/s41598-021-00334-2
- Schmidt, H., Getzlaff, J., Löptien, U. and Oschlies, A. (2021) Causes of uncertainties in the representation of the Arabian Sea oxygen minimum zone in CMIP5 models. Ocean Science 17,1303-1320. https://doi.org/10.5194/os-17-1303-2021
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- Dietze, H., and Löptien, U. (2021). Retracing hypoxia in Eckernförde Bight (Baltic Sea). Biogeosciences 18(14), 4243-4264. DOI https://doi.org/10.5194/bg-18-4243-2021 – Highlighted by the Journal
- Munkes, B., Löptien, U. and Dietze, H. (2021) Cyanobacteria Blooms in the Baltic Sea: A Review of Models and Facts. Biogeosciences 18, 2347-2378. https://doi.org/10.5194/bg-18-2347-2021
- Dietze, H., Löptien, U., Hordoir, R., Heinemann, M., Huiskamp, W. and Schneider, B. (2020) Silicon isotopes in an EMIC’s ocean: sensitivity to runo , iron supply and climate. Paleoceanography and Paleoclimatology 35 (10), art.nr. e2020PA003960. https://doi.org/https://doi.org/10.1029/2020PA003960
- Dietze, H., Löptien, U. and Getzlaff, J. (2020) MOMSO 1.0 – an eddying Southern Ocean model configuration with fairly equilibrated natural carbon. Geoscientific Model Development 13, 71-97. https://doi.org/10.5194/gmd-13-71-2020
- Löptien, U. and Dietze, H. (2019) Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing. Biogeosciences 16 (9), 1865-1881. https://doi.org/10.5194/bg-16-1865-2019 – Highlighted by the Journal
- 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., Jonsson, A., Lake, I., Döös, K., Hieronymus, M., Dietze, H., Löptien, U., Kuznetsov, I., Westerlund, A., Tuomi, L. and Haapala, J. (2019) Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications. Geoscientific Model Development 12 (1), 363-386. https://doi.org/10.5194/gmd-12-363-2019
- Sauerland, V., Löptien, U., Leonhard, C., Oschlies, A. and Srivastav, A. (2018) Error assessment of biogeochemical models by lower bound methods. Geoscientific Model Development 11, 1-22. https://doi.org/10.5194/gmd-11-1181-2018
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- Pemberton, P., Löptien, U., Hordoir, R., Höglund, A., Schimanke, S., Axell, L. and Haapala, J. (2017) 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. Geoscientific Model Development 10 (8). 3105-3123. https://doi.org/10.5194/gmd-10-3105-2017
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- Löptien, U. and Dietze, H. (2017) Effects of parameter indeterminacy in pelagic biogeochemical modules of Earth System Models on projections into a warming future: The scale of the problem. Global Biogeochemical Cycles 31 (7), 1155-1172. https://doi.org/10.1002/2017GB005690
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- Schartau, M., Wallhead, P., Hemmings, J., Löptien, U., Kriest, I., Krishna, S., Ward, B. A., Slawig, T. and Oschlies, A. (2017) Reviews and syntheses: Parameter identification in marine planktonic ecosystem modelling. Biogeosciences 14 (6), 1647-1701. https://doi.org/10.5194/bg-14-1647-2017
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- Dietze, H., Getzlaff, J. and Löptien, U. (2017) Simulating natural carbon sequestration in the Southern Ocean: on uncertainties associated with eddy parameterizations and iron deposition. Biogeosciences 14, 1561-1576. https://doi.org/10.5194/bg-14-1561-2017
- Dietze, H. and Löptien, U. (2016) Effects of surface current/wind interaction in an eddy-rich general ocean circulation simulation of the Baltic Sea. Ocean Science 12, 977-986.https://doi.org/10.5194/os-12-977-2016
- Hordoir, R., Axell, L., Loptien, U., Dietze, H. and Kuznetsov, I. (2015) Influenc of sea level rise on the dynamics of salt inflows in the Baltic Sea. Journal of Geophysical Research-Oceans 120 (10), 6653-6668. https://doi.org/10.1002/2014JC010642
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- Löptien, U. and Dietze, H. (2015) Constraining parameters in marine pelagic ecosystem models – is it actually feasible with typical observations of standing stocks? Ocean Science 11 (4), 573-590. https://doi.org/10.5194/os-11-573-2015
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- Löptien, U. and Axell, L. (2014) Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea, The Cryosphere, 8, 2409-2418. https://doi.org/10.5194/tc-8-2409-2014
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- Löptien, U. and Dietze, H. (2014) Sea ice in the Baltic Sea – revisiting BASIS-ice, a historical data set covering the period 1960/61-78/79. Earth System Science Data 6, 367-374. https://doi.org/10.5194/essd-6-367-2014
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- Dietze, H., Löptien, U., and Getzlaff, K. (2014) MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL’s Modular Ocean Model, Geoscientific Model Development 7, 1713-1731. https://doi.org/10.5194/gmd-7-1713-2014 – Highlighted by the Journal
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- Löptien, U., Mårtensson, S., Meier, H.E.M. and Höglund, A. (2013) Long-term characteristics of simulated ice deformation in the Baltic Sea (1962-2007), Journal of Geophysical Research – Oceans 118, 801-815. https://doi.org/10.1002/jgrc.20089
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- Dietze, H. and Löptien, U. (2013) Revisiting “nutrient trapping” in global coupled biogeochemical Ocean Circulation Models, Global Biogeochemical Cycles 27, 20 pages. https://doi.org/10.1002/gbc.20029
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- Löptien, U. (2011) Steady states and sensitivities of commonly used pelagic ecosystem model components, Ecological Modelling 222 (8), 1376-1386. https://doi.org/10.1016/j.ecolmodel.2011.02.005
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- Löptien, U. and Meier, H.E.M. (2011) The influence of increasing water turbidity on the sea surface temperature in the Baltic Sea: A model sensitivity study, Journal of Marine Systems 88 (2), 323-331. https://doi.org/10.1016/j.jmarsys.2011.06.001
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- Meier, H.E.M., Höglund, A., Döscher, R., Andersson, H., Löptien, U. and Kjellström, E. (2011) Quality assessment of atmospheric surface fields over the Baltic Sea from an ensemble of regional climate model simulations with respect to ocean dynamics, Oceanologia, 53, 193-227. https://doi.org/10.5697/oc.53-1-TI.193
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- Löptien, U. and Eden, C. (2010) Multidecadal CO2 uptake variability of the North Atlantic, Journal of Geophysical Research – Atmospheres 115, 16 pages. https://doi.org/10.1029/2009JD012431
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- Löptien, U., Eden, C. Timmermann, A. and Dietze, H. (2009) Effects of biologically induced differential heating in an eddy-permitting coupled ocean-ecosystem model, Journal of Geophysical Research – Oceans 114, D12. https://doi.org/10.1029/2008JC004936
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- Löptien, U., Gulev, S.K., Latif, M., Zolina, O. and Soloviov, V. (2008) Cyclone life cycle characteristics over the Northern Hemisphere in coupled GCMs, Climate Dynamics 31, 507-532. https://doi.org/10.1007/s00382-007-0355-5
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- Löptien, U. and Ruprecht, E. (2005) Effect of Synoptic Systems on the Variability of the North Atlantic Oscillation. Monthly Weather Review, 133 (10), 2894-2904. https://doi.org/10.1175/MWR3007.1
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