- Überblick
- Forschung
- Future Ocean
- R01: Unser Ozean der Zukunft
- R02: Governance der Ozeane
- R03: Rohstoffe aus dem Ozean
- R04: Innovationen aus dem Ozean
- R05: Der Ozean als CO2-Speicher
- R06: Gefahren aus dem Ozean
- R07: Grenzflächen des Ozeans
- R08: Evolution im Ozean
- R09: Das Klima und der Ozean
- R10: Beobachtungssysteme für den Ozean
- R11: Vorhersagen über den Ozean
- Ocean Sustainability
- Semesterthemen
- Forschungsplattformen
- Future Ocean
- Aktuelles
- Partner
- Veröffentlichungen
- Internationale Kooperationen
- Gleichstellung
Dazu modellieren sie Ozeanströmungen, das Klima und Stoffkreisläufe mit modernen Methoden der Numerischen Mathematik und der Optimierungstheorie. Ein Schwerpunkt der Forschung sind dabei die Veränderungen in der regionalen Strömungsdynamik und der Biogeochemie der Ozeane.
In den kommenden Dekaden wird die Entwicklung des Ozeans sowohl von natürlichen Schwankungen als auch anthropogenen Trends beeinflusst, wobei sich die einzelnen Regionen im Ozean unterschiedlich entwickeln werden. Ein maßgeblicher Steuerfaktor für diese regionalen Unterschiede ist die Reaktion des Ozeans auf Variabilitäten und Trends in der Atmosphäre. Die damit verbundenen Abweichungen im Ozeantransport beeinflussen die Prozesse im Meer (wie beispielsweise die Kohlenstoffaufnahme, Versauerung, Erwärmung am Meeresboden oder den Meeresspiegel) und ihre geographische Ausprägung stark. Schon in den vergangenen Dekaden wurden regionale Meeresspiegelanstiegsraten mit deutlichen Abweichungen von den globalen mittleren Anstiegsraten gemessen. Diese waren auf Bewegungen im warmen Oberflächenwasser aufgrund von Strömungen zurückzuführen. Es wird erwartet, dass sich die dreidimensionalen Strömungsmuster stark verändern, wie Auftrieb und Tiefenwasserbildung im Südozean und in den Tropen oder tiefe Konvektion im Nordatlantik während des Winters. Diese veränderten Strömungsmuster werden wiederum die Nährstoffversorgung und die damit verbundene biologische Produktivität, die CO2-Aufnahme sowie die Ozeanversauerung regional stark beeinflussen. Das Verständnis dieses Wirkens von Ozeanströmungen auf die biogeochemischen Flüsse im Zusammenspiel mit der sich ändernden Atmosphäre ist eine Grundvoraussetzung für die Entwicklung von Vorhersagemodellen. Zusätzlich müssen die Modelle die Entwicklung von gesellschaftlich relevanten Ozeankennzahlen, wie das Vorkommen von Arten und Fischereimöglichkeiten, berücksichtigen.
Zentrale Themen sind:
- Verbesserung von hochauflösenden physikalisch-biogeochemischen Ozeanmodellen
- Vorhersage von Ozeaneigenschaften für die nächsten 100 Jahre
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Instrumentation
Publikationen
Börm, S. (2019) Hierarchical matrix arithmetic with accumulated updates. Computing and Visualization in Science . DOI 10.1007/s00791-019-00311-3.
Carratalá-Sáez, R., Christophersen, S., Aliaga, J. I., Beltran, V., Börm, S. and Quintana-Ortí, E. S. (2019) Exploiting nested task-parallelism in the H-LU factorization. Journal of Computational Science, 33 . pp. 20-33. DOI 10.1016/j.jocs.2019.02.004.
Hertel, R., Christophersen, S. and Börm, S. (2019) Large-scale magnetostatic field calculation in finite element micromagnetics with H2-matrices. Journal of Magnetism and Magnetic Materials, 477 . pp. 118-123. DOI 10.1016/j.jmmm.2018.12.103.
Tim, N. , Zorita, E. , Schwarzkopf, F. U. , Rühs, S. , Emeis, K. and Biastoch, A. (2018) The impact of Agulhas leakage on the central water masses in the Benguela upwelling system from a high‐resolution ocean simulation. Journal of Geophysical Research: Oceans, 123 . pp. 9416-9428. DOI 10.1029/2018JC014218.
Reusch, T. B. H. , Dierking, J. , Andersson, H. C., Bonsdorff, E., Carstensen, J., Casini, M., Czajkowski, M., Hasler, B., Hinsby, K., Hyytiäinen, K., Johannesson, K., Jomaa, S., Jormalainen, V., Kuosa, H., Kurland, S., Laikre, L., MacKenzie, B. R., Margonski, P., Melzner, F., Oesterwind, D., Ojaveer, H., Refsgaard, J. C., Sandström, A., Schwarz, G., Tonderski, K., Winder, M. and Zandersen, M. (2018) The Baltic Sea as a time machine for the future coastal ocean. Science Advances, 4 (5). eaar8195. DOI 10.1126/sciadv.aar8195.
Bayr, T. , Latif, M. , Dommenget, D., Wengel, C., Harlaß, J. and Park, W. (2018) Mean-state dependence of ENSO atmospheric feedbacks in climate models. Climate Dynamics, 50 (9-10). pp. 3171-3194. DOI 10.1007/s00382-017-3799-2.
Sauerland, V., Löptien, U. , Leonhard, C., Oschlies, A. and Srivastav, A. (2018) Error assessment of biogeochemical models by lower bound methods (NOMMA-1.0). Geoscientific Model Development, 11 (3). pp. 1181-1198. DOI 10.5194/gmd-2017-133.
Johanson, A. and Hasselbring, W. (2018) Software Engineering for Computational Science: Past, Present, Future. Computing in Science & Engineering, 20 (2). pp. 90-109. DOI 10.1109/MCSE.2018.108162940.
Rühs, S. , Zhurbas, V., Koszalka, I. M. , Durgadoo, J. V. and Biastoch, A. (2018) Eddy diffusivity estimates from Lagrangian trajectories simulated with ocean models and surface drifter data - a case study for the greater Agulhas system. Journal of Physical Oceanography, 48 . pp. 175-196. DOI 10.1175/JPO-D-17-0048.1.
Sebille, E. v., Griffies, S. M., Abernathey, R., Adams, T. P., Berloff, P., Biastoch, A. , Blanke, B., Chassignet, E. P., Cheng, Y., Cotter, C. J., Deleersnijder, E., Döös, K., Drake, H., Drijfhout, S., Gary, S. F., Heemink, A. W., Kjellsson, J. , Koszalka, I. M. , Lange, M., Lique, C., MacGilchrist, G. A., Marsh, R., Mayorga Adame, C. G., McAdam, R., Nencioli, F., Paris, C. B., Piggott, M. D., Polton, J. A., Rühs, S. , Shah, S. H. A. M., Thomas, M. D., Wang, J., Wolfram, P. J., Zanna, L. and Zika, J. D. (2018) Lagrangian ocean analysis: fundamentals and practices. Ocean Modelling, 121 . pp. 49-75. DOI 10.1016/j.ocemod.2017.11.008.
Song, Z. , Latif, M. and Park, W. (2017) Expanding Greenland Ice Sheet Enhances Sensitivity of Plio-Pleistocene Climate to Obliquity Forcing in the Kiel Climate Model. Geophysical Research Letters, 44 (19). pp. 9957-9966. DOI 10.1002/2017GL074835.
Johanson, A. and Hasselbring, W. (2017) Effectiveness and efficiency of a domain-specific language for high-performance marine ecosystem simulation: a controlled experiment. Empirical Software Engineering, 22 (8). pp. 2206-2236. DOI 10.1007/s10664-016-9483-z.
Bordbar, M. H. , Martin, T. , Latif, M. and Park, W. (2017) Role of internal variability in recent decadal to multidecadal tropical Pacific climate changes. Geophysical Research Letters, 44 (9). pp. 4246-4255. DOI 10.1002/2016GL072355.
Durgadoo, J. V. , Rühs, S. , Biastoch, A. and Böning, C. W. (2017) Indian Ocean sources of Agulhas leakage. Journal of Geophysical Research: Oceans, 122 (4). pp. 3481-3499. DOI 10.1002/2016JC012676.
Johanson, A., Oschlies, A. , Hasselbring, W. and Worm, B. (2017) SPRAT: A spatially-explicit marine ecosystem model based on population balance equations. Ecological Modelling, 349 . pp. 11-25. DOI 10.1016/j.ecolmodel.2017.01.020.
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 (BG), 14 (6). pp. 1647-1701. DOI 10.5194/bg-14-1647-2017.
Arevalo-Martinez, D. L. , Kock, A. , Steinhoff, T., Brandt, P. , Dengler, M. , Fischer, T. , Körtzinger, A. and Bange, H. W. (2017) Nitrous oxide during the onset of the Atlantic Cold Tongue. Journal of Geophysical Research: Oceans, 122 (1). pp. 171-184. DOI 10.1002/2016JC012238.
Kriest, I. , Sauerland, V., Khatiwala, S., Srivastav, A. and Oschlies, A. (2017) Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0). Geoscientific Model Development, 10 . pp. 127-154. DOI 10.5194/gmd-10-127-2017.
Börm, S. (2017) Adaptive compression of large vectors. Mathematics of Computation, 87 (309). pp. 209-235. DOI 10.1090/mcom/3203.
Heinrich, C., Feldens, P. and Schwarzer, K. (2017) Highly dynamic biological seabed alterations revealed by side scan sonar tracking of Lanice conchilega beds offshore the island of Sylt (German Bight). Geo-Marine Letters, 37 (3). pp. 289-303. DOI 10.1007/s00367-016-0477-z.
Rühs, S. , Schwarzkopf, F. U. and Biastoch, A. (2017) Sources for the upper limb of the AMOC - cold and warm water routes revisited in an eddy-resolving ocean model. [Talk] In: IAPSO Assembly. , 28.08.-21.09.2017, Cape Town, South Africa .
Rühs, S. , Zhurbas, V., Koszalka, I. M. , Durgadoo, J. V. and Biastoch, A. (2017) Lateral eddy diffusivity estimates from simulated and observed drifter trajectories - a case study for the Agulhas Current system. [Poster] In: EGU General Assembly 2017. , 23.-28.04.2017, Vienna, Austria .
Hasselbring, W., Becker, S., van Hoorn, A., Kounev, S. and Reussner, R. (2016) 7th Symposium on Software Performance (SSP). Softwaretechnik-Trends, 36 (4). p. 1.
Su, B., Pahlow, M. and Oschlies, A. (2016) Box-modeling of the impacts of atmospheric nitrogen deposition and benthic remineralization on the nitrogen cycle of the eastern tropical South Pacific. Biogeosciences (BG), 13 . pp. 4985-5001. DOI 10.5194/bg-13-4985-2016.
Blanco-Ameijeiras, S., Lebrato, M., Stoll, H. M., Iglesias-Rodriguez, D., Müller, M. N., Mendez-Vicente, A. and Oschlies, A. (2016) Phenotypic Variability in the Coccolithophore Emiliania huxleyi. PLoS ONE, 11 (6). e0157697. DOI 10.1371/journal.pone.0157697.
Böning, C. W. , Behrens, E., Biastoch, A. , Getzlaff, K. and Bamber, J. L. (2016) Emerging impact of Greenland meltwater on deepwater formation in the North Atlantic Ocean. Nature Geoscience, 9 (7). pp. 523-527. DOI 10.1038/ngeo2740.
Patara, L. , Böning, C. W. and Biastoch, A. (2016) Variability and trends in Southern Ocean eddy activity in 1/12° ocean model simulations. Geophysical Research Letters, 43 . pp. 4517-4523. DOI 10.1002/2016GL069026.
Arndt, D., Braack, M. and Lube, G. (2016) Finite Elements for the Navier-Stokes Problem with Outflow Condition. Numerical Mathematics and Advanced Applications ENUMATH, 112 . pp. 95-103. DOI 10.1007/978-3-319-39929-4_10.
Braack, M. (2016) Outflow Conditions for the Navier-Stokes Equations with Skew-Symmetric Formulation of the Convective Term. [Paper] In: Computational and Asymptotic Methods - BAIL 2014. . Boundary and Interior Layers, Computational and Asymptotic Methods - BAIL 2014. ; pp. 35-45 . DOI 10.1007/978-3-319-25727-3_4.
Johanson, A., Hasselbring, W., Oschlies, A. and Worm, B. (2016) Evaluating Hierarchical Domain-Specific Languages for Computational Science: Applying the Sprat Approach to a Marine Ecosystem Model. In: Software Engineering for Science. , ed. by Carver, J. C., Chue Hong, N. P. and Thiruvathukal, G. K.. Taylor & Francis Group, CRC Press, Boca Raton, FL, pp. 175-200. ISBN 978-1-4987-4385-3
Piwonski, J. and Slawig, T. (2016) Metos3D: the Marine Ecosystem Toolkit for Optimization and Simulation in 3-D - Part 1: Simulation Package v0.3.2. Geoscientific Model Development, 9 (10). pp. 3729-3750. DOI 10.5194/gmd-9-3729-2016.
Tran, G. T., Oliver, K. I. C., Sóbester, A., Toal, D. J. J., Holden, P. B., Marsh, R., Challenor, P. and Edwards, N. R. (2016) Building a traceable climate model hierarchy with multi-level emulators. Advances in Statistical Climatology, Meteorology and Oceanography, 2 (1). pp. 17-37. DOI 10.5194/ascmo-2-17-2016.
Tseng, Y. h., Lin, H., Chen, H. c., Thompson, K., Bentsen, M., Böning, C. W. , Bozec, A., Cassou, C., Chassignet, E., Chow, C. H., Danabasoglu, G., Danilov, S., Farneti, R., Fogli, P. G., Fujii, Y., Griffies, S. M., Ilicak, M., Jung, T., Masina, S., Navarra, A., Patara, L. , Samuels, B. L., Scheinert, M. , Sidorenko, D., Sui, C. H., Tsujino, H., Valcke, S., Voldoire, A., Wang, Q. and Yeager, S. G. (2016) North and equatorial Pacific Ocean circulation in the CORE-II hindcast simulations. Ocean Modelling, 104 . pp. 143-170. DOI 10.1016/j.ocemod.2016.06.003.
Rühs, S. , Getzlaff, K. , Durgadoo, J. V. , Biastoch, A. and Böning, C. W. (2015) On the suitability of North Brazil Current transport estimates for monitoring basin-scale AMOC changes. Geophysical Research Letters, 42 (19). pp. 8072-8080. DOI 10.1002/2015GL065695.
Downes, S. M., Farneti, R., Uotila, P., Griffies, S. M., Marsland, S. J., Bailey, D., Behrens, E., Bentsen, M., Bi, D., Biastoch, A. , Böning, C. W. , Bozec, A., Canuto, V. M., Chassignet, E., Danabasoglu, G., Danilov, S., Diansky, N., Drange, H., Fogli, P. G., Gusev, A., Howard, A., Ilicak, M., Jung, T., Kelley, M., Large, W. G., Leboissetier, A., Long, M., Lu, J., Masina, S., Mishra, A., Navarra, A., George Nurser, A. J., Patara, L. , Samuels, B. L., Sidorenko, D., Spence, P., Tsujino, H., Wang, Q. and Yeager, S. G. (2015) An assessment of Southern Ocean water masses and sea ice during 1988–2007 in a suite of interannual CORE-II simulations. Ocean Modelling, 94 . pp. 67-94. DOI 10.1016/j.ocemod.2015.07.022.
Farneti, R., Downes, S. M., Griffies, S. M., Marsland, S. J., Behrens, E., Bentsen, M., Bi, D., Biastoch, A. , Böning, C. W. , Bozec, A., Canuto, V. M., Chassignet, E., Danabasoglu, G., Danilov, S., Diansky, N., Drange, H., Fogli, P. G., Gusev, A., Hallberg, R. W., Howard, A., Ilicak, M., Jung, T., Kelley, M., Large, W. G., Leboissetier, A., Long, M., Lu, J., Masina, S., Mishra, A., Navarra, A., George Nurser, A. J., Patara, L., Samuels, B. L., Sidorenko, D., Tsujino, H., Uotila, P., Wang, Q. and Yeager, S. G. (2015) An assessment of Antarctic Circumpolar Current and Southern Ocean meridional overturning circulation during 1958–2007 in a suite of interannual CORE-II simulations. Ocean Modelling, 93 . pp. 84-120. DOI 10.1016/j.ocemod.2015.07.009.
Su, B., Pahlow, M., Wagner, H. and Oschlies, A. (2015) What prevents nitrogen depletion in the oxygen minimum zone of the eastern tropical South Pacific?. Biogeosciences (BG), 12 . pp. 1113-1130. DOI 10.5194/bg-12-1113-2015.
Aswathy, N., Boucher, O., Quaas, M., Niemeier, U., Muri, H., Muelmenstaedt, J. and Quaas, J. (2015) Climate extremes in multi-model simulations of stratospheric aerosol and marine cloud brightening climate engineering. Atmospheric Chemistry and Physics, 15 (16). pp. 9593-9610. DOI 10.5194/acp-15-9593-2015.
El Jarbi, M. and Slawig, T. (2015) Extension of a Marine Ecosystem Model using Discrete Open Loop Optimal Control. International Journal of Mathematical Modelling and Numerical Optimisation, 6 (1). pp. 22-39. DOI 10.1504/IJMMNO.2015.068903.
Reimer, J., Schuerch, M. and Slawig, T. (2015) Optimization of model parameters and experimental designs with the Optimal Experimental Design Toolbox (v1.0) exemplified by sedimentation in salt marshes. Geoscientific Model Development, 8 (3). pp. 791-804. DOI 10.5194/gmd-8-791-2015.
Slawig, T. (2015) Klimamodelle und Klimasimulationen. . Springer Spektrum, Berlin Heidelberg, 250 pp. ISBN 978-3-662-47063-3
Scott, R., Biastoch, A. , Roder, C., Stiebens, V. and Eizaguirre, C. (2014) Nano-tags for neonates and ocean-mediated swimming behaviours linked to rapid dispersal of hatchling sea turtles. Proceedings of the Royal Society B: Biological Sciences, 281 (1796). p. 20141209. DOI 10.1098/rspb.2014.1209.
Johanson, A. and Hasselbring, W. (2014) Hierarchical Combination of Internal and External Domain-Specific Languages for Scientific Computing. [Paper] In: International Workshop on DSL Architecting & DSL-based Architectures (DADA'14). , 26.08.2014, Vienna, Austria . Proceedings of the 2014 European Conference on Software Architecture Workshops - ECSAW '14. ; pp. 1-8 . DOI 10.1145/2642803.2642820.
Prowe, A. E. F. , Pahlow, M., Dutkiewicz, S. and Oschlies, A. (2014) How important is diversity for capturing environmental-change responses in ecosystem models?. Biogeosciences (BG), 11 . pp. 3397-3407. DOI 10.5194/bg-11-3397-2014.
Patara, L. and Böning, C. W. (2014) Abyssal ocean warming around Antarctica strengthens the Atlantic overturning circulation. Geophysical Research Letters, 41 (11). pp. 3972-3978. DOI 10.1002/2014GL059923.
Johanson, A. and Hasselbring, W. (2014) Sprat: Hierarchies of Domain-Specific Languages for Marine Ecosystem Simulation Engineering. [Paper] In: Spring Simulation Multi-Conference (SpringSim 2014). , 13-16 April 2014, Tampa, Florida, USA . Proceedings of the Symposium on Theory of Modeling and Simulation (TMS/DEVS 2014). ; pp. 187-192 . Simulation Series, 46 (4).
Braack, M. and Mucha, P. B. (2014) DIRECTIONAL DO-NOTHING CONDITION FOR THE NAVIER-STOKES EQUATIONS. Journal of Computational Mathematics, 32 (5). pp. 507-521. DOI 10.4208/jcm.1405-m4347.
Braack, M. and Taschenberger, N. (2014) A posteriori control of modelling and discretization errors for quasi periodic solutions. Journal of Numerical Mathematics, 22 (2). pp. 87-108. DOI 10.1515/jnma-2014-0004.
Braack, M., Klein, M., Prohl, A. and Tews, B. (2014) Optimal Control for Two-Phase Flows. International Series of Numerical Mathematics, 165 . pp. 347-363. DOI 10.1007/978-3-319-05083-6_22.
Braack, M., Schluenzen, K. H., Taschenberger, N. and Uphoff, M. (2014) Error estimation and adaptive chemical transport modeling. Meteorologische Zeitschrift, 23 (4). pp. 341-348. DOI 10.1127/0941-2948/2014/0572.
El Ouali, M., Fohlin, H. and Srivastav, A. (2014) A randomised approximation algorithm for the hitting set problem. Theoretical Computer Science, 555 . pp. 23-34. DOI 10.1016/j.tcs.2014.03.029.
Hebbinghaus, N. and Srivastav, A. (2014) Discrepancy of (centered) arithmetic progressions in Z(p). European Journal of Combinatorics, 35 . pp. 324-334. DOI 10.1016/j.ejc.2013.06.039.
Schwarzer, K., Bohling, B. and Heinrich, C. (2014) Submarine hard-bottom substrates in the western Baltic Sea - human impact versus natural development. Journal of Coastal Research, 70 . pp. 145-150. DOI 10.2112/si70-025.1.
Slawig, T., Prieß, M. and Kratzenstein, C. (2014) Surrogate-Based and One-shot Optimization Methods for PDE-Constrained Problems with an Application in Climate Models. In: Solving Computationally Expensive Engineering Problems. . Springer Proceedings in Mathematics & Statistics, 97 . Springer International Publishing, 97:1-97:24. ISBN 978-3-319-08984-3 DOI 10.1007/978-3-319-08985-0_1.
Arevalo-Martinez, D. L. , Beyer, M., Krumbholz, M., Piller, I., Kock, A. , Steinhoff, T., Körtzinger, A. and Bange, H. W. (2013) A new method for continuous measurements of oceanic and atmospheric N2O, CO and CO2: performance of off-axis integrated cavity output spectroscopy (OA-ICOS) coupled to non-dispersive infrared detection (NDIR). Ocean Science, 9 (6). pp. 1071-1087. DOI 10.5194/os-9-1071-2013.
Prieß, M., Piwonski, J., Koziel, S., Oschlies, A. and Slawig, T. (2013) Accelerated Parameter Identification in a 3D Marine Biogeochemical Model Using Surrogate-Based Optimization. Ocean Modelling, 68 . pp. 22-36. DOI 10.1016/j.ocemod.2013.04.003.
Börm, S. and Reimer, K. (2013) Efficient arithmetic operations for rank-structured matrices based on hierarchical low-rank updates. Computing and Visualization in Science, 16 (6). pp. 247-258. DOI 10.1007/s00791-015-0233-3.
Boysen, D. and Börm, S. (2013) A Galerkin Approach for Solving Matrix Equations with Hierarchical Matrices. PAMM, 13 (1). pp. 405-406. DOI 10.1002/pamm.201310198.
Braack, M. and Nafa, K. (2013) A monolithic finite element discretization for coupled Darcy-Stokes flow. PAMM, 13 (1). pp. 243-244. DOI 10.1002/pamm.201310117.
Braack, M. and Prohl, A. (2013) Stable discretization of a diffuse interface model for liquid-vapor flows with surface tension. ESAIM: Mathematical Modelling and Numerical Analysis-Modelisation Mathematique Et Analyse Numerique, 47 (2). pp. 404-423. DOI 10.1051/m2an/2012032.
Braack, M. and Taschenberger, N. (2013) HIERARCHICAL A POSTERIORI RESIDUAL BASED ERROR ESTIMATORS FOR BILINEAR FINITE ELEMENTS. International Journal of Numerical Analysis and Modeling, 10 (2). pp. 466-480.
Braack, M., Lang, J. and Taschenberger, N. (2013) Stabilized finite elements for transient flow problems on varying spatial meshes. Computer Methods in Applied Mechanics and Engineering, 253 . pp. 106-116. DOI 10.1016/j.cma.2012.08.006.
Cocco, V., Joos, F., Steinacher, M., Frölicher, T. L., Bopp, L., Dunne, J., Gehlen, M., Heinze, C., Orr, J., Oschlies, A. , Schneider, B., Segschneider, J. and Tjiputra, J. (2013) Oxygen and indicators of stress for marine life in multi-model global warming projections. Biogeosciences (BG), 10 (3). pp. 1849-1868. DOI 10.5194/bg-10-1849-2013.
El Jarbi, M., Rückelt, J., Slawig, T. and Oschlies, A. (2013) Reducing the model-data misfit in a marine ecosystem model using periodic parameters and linear quadratic optimal control. Biogeosciences (BG), 10 (2). pp. 1169-1182. DOI 10.5194/bg-10-1169-2013.
Fischer, M., Wahl, M. and Friedrichs, G. (2013) Field Sensor for In-Situ Detection Of Marine Bacterial Biofilms : Novel Sensor Concept Enables Time-Resolved Detection of Bacteria from initial attachement to mature cell clusters. Sea Technology, 54 (2). pp. 49-52.
Heinle, A. and Slawig, T. (2013) Impact of parameter choice on the dynamics of NPZD type ecosystem models. Ecological Modelling, 267 . pp. 93-101. DOI 10.1016/j.ecolmodel.2013.07.019.
Heinle, A. and Slawig, T. (2013) Internal dynamics of NPZD type ecosystem models. Ecological Modelling, 254 . pp. 33-42. DOI 10.1016/j.ecolmodel.2013.01.012.
Heinle, A. and Slawig, T. (2013) Theoretical analysis and optimization of nonlinear ODE systems for marine ecosystem models. System Modelling and Optimization . pp. 501-510. DOI 10.1007/978-3-642-36062-6_50.
Kratzenstein, C. and Slawig, T. (2013) Simultaneous Model Spin-up and Parameter Identification with the One-Shot Method in a Climate Model Example. International Journal of Optimization and Control: Theory and Applications, 3 . DOI 10.11121/ijocta.01.2013.00144.
Prieß, M., Koziel, S. and Slawig, T. (2013) Marine Ecosystem Model Calibration through Enhanced Surrogate-Based Optimization. In: Simulation and Modeling Methodologies, Technologies and Applications. , ed. by Pina, N., Kacprzyk, J. and Filipe, J.. Advances in Intelligent Systems and Computing, 197 (2). Springer, Berlin, Germany, pp. 193-208. ISBN 978-3-642-34335-3 DOI 10.1007/978-3-642-34336-0_13.
Prieß, M., Koziel, S. and Slawig, T. (2013) Marine Ecosystem Model Calibration with Real Data Using Enhanced Surrogate-Based Optimization. Journal of Computational Science, 4 (5). pp. 423-437. DOI 10.1016/j.jocs.2013.04.001.
Siewertsen, E., Piwonski, J. and Slawig, T. (2013) Porting marine ecosystem model spin-up using transport matrices to GPUs. Geoscientific Model Development, 6 (1). pp. 17-28. DOI 10.5194/gmdd-5-2179-2012.
Siewertsen, E., Piwonski, J. and Slawig, T. (2012) Simulation von biogeochemischen Prozessen in 3-D auf GPUs. (Bachelor thesis), Christian-Albrechts-Universität zu Kiel, Kiel, SH, Germany, 33 pp.
Becker, M., Andersen, N., Fiedler, B., Fietzek, P., Körtzinger, A. , Steinhoff, T. and Friedrichs, G. (2012) Using cavity ringdown spectroscopy for continuous monitoring of δ13C(CO2) and ƒCO2 in the surface ocean. Limnology and Oceanography: Methods, 10 . pp. 752-766. DOI 10.4319/lom.2012.10.752.
Braack, M. and Tews, B. (2012) Linear-quadratic optimal control for the Oseen equations with stabilized finite elements . Esaim-Control Optimisation and Calculus of Variations, 18 (4). pp. 987-1004. DOI 10.1051/cocv/2011201.
Braack, M., Lube, G. and Röhe, L. (2012) Divergence Preserving Interpolation on Anisotropic Quadrilateral Meshes. Computational Methods in Applied Mathematics, 12 (2). 123–138. DOI 10.2478/cmam-2012-0016.
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Forschungsaktivitäten
Improved sea-floor representations in ocean models
The topographical structure of the sea floor in fluences the dynamics of the ocean heavily, both on the global and on the regional scale. Ocean ridges and gaps determine the propagation of deep and bottom waters. This has a direct impact on the global spreading of heat and salt, and therefore the global climate. However, the accuracy of available ocean models to represent flow phenomena near the sea floor is still very poor due to the traditional representation of bottom topography. This PhD project faces this problem and aims to substantially improve the topographic representation of the Kiel Climate Model (KCM), especially in areas with large gradients. This improvement is important, for instance, to increase the accuracy of the ocean model with respect to the overflow of the Greenland-Scotland ridge and the spreading of deep and bottom water masses from polar regions into the Atlantic Ocean. This propagation in the deep Atlantic influences the meridional overturning (AMOC) and, hence, the entire climate system on the time scale of decades and longer.
Optimal experimental design in marine research
Joscha Reimer,
In marine research, as in many other areas, models are a fundamental concept. Models are essential for predictions and control purposes. They are obtained, improved and verified by measurements of the modelled entity.These measurement results are usually obtained within one or more experiments. As an experiment we identify any process which is at least partially controlled by the researcher and results in a collection of data. Controllable conditions are usually where and when measurements are performed. Sometimes initial conditions and the temporal control of the experiment can also be influenced. Examples for that are the quantity of substances and initial temperature at chemical experiments and there temporal changes. All the controllable conditions of an experiment are summarized as the corresponding experimental design. The experimental design crucially affects the information content of the measurement results. Depending on the purpose of the measurements the experimental design can be optimized to gain the maximum of information. As a result fewer measurements and experiments are conducted to obtain sufficient information. Thus time, money and effort can be saved. There are mainly two types of purposes in respect to which the experimental design is optimized. One major purpose of measurement results is to determine unknown parameters in models. The experimental design for these measurements can be optimized to determine the parameters as good as possible. Another purpose is to choose the most realistic model of a set of potential models. This process is called model discrimination. For that the experimental design can be optimized in such a way that the most realistic model can be determined as clearly as possible.
Southern ocean CO2 uptake in high-reolution ocean-biogeochemistry simulations for the 20th and 21st centuries
Dr. Lavinia Patara,
The proposed project addresses a key challenge in our understanding of the future evolution of the Earth’s oceans and climate. Atmospheric concentrations of CO2, a strong greenhouse gas, are determined not only by anthropogenic carbon emissions but also by ocean uptake of CO2. This project focuses on the Southern Ocean CO2 uptake using global ocean-biogeochemistry simulations for the 20th and 21st centuries. The Southern Ocean is of unique importance for air-sea CO2 exchanges at a global scale due to its vigorous meridional overturning circulation and CO2 uptake potential. Yet there is still large uncertainty regarding ist role in the ocean CO2 uptake in both present climate and for the next century. One reason for this is the lack of explicit simulation of ocean mesoscale eddies within climate-carbon cycle projections. Mesoscale eddies, i.e. small-scale rings shed by current instabilities, are known to be critical in determining the redistribution of tracers within the Southern Ocean. This project will assess the role of Southern Ocean mesoscale eddies on the ocean uptake of CO2 and on its ventilation pathways under present climate and under anthropogenic warming projections for the 21st century. Today’s supercomputing resources are still not sufficient to simulate ocean biogeochemistry in an eddy-resolving global model. Here an innovative “two-way” nesting technique will thus be used to enhance the ocean model resolution over key areas of Southern Ocean airsea CO2 exchange. The model framework will be further developed to include an inorganic carbonate chemistry module. A set of simulations using different ocean resolutions and atmospheric forcing will assess the role of mesoscale eddies on the ocean CO2 uptake in a changing climate. Because of the global scope of the simulations, not only the Southern Ocean CO2 uptake, but also i) other ocean regions and ii) other anthropogenic impacts on the ocean (e.g. sea level changes and ocean acidification) can be investigated.
Surrogate-based Optimization for Marine Biochemical Models
Dr. Iris Kriest,
Marine biogeochemical models are of great importance for a quantitative understanding of the ocean’s role in the global carbon cycle and are essential for projections of the oceanic CO2 uptake and the marine ecosystem’s responses to climate change. The applicability of a marine biogeochemical model for prognostic simulations crucially depends on its ability to adequately describe the relevant physical, chemical, and biological processes. This is typically assessed by a calibration of the often poorly known model parameters. For three-dimensional coupled biogeochemistry-circulation models, a calibration using conventional optimization algorithms is still very time-consuming or even infeasible even on high performance computers. Such a computationally demanding calibration can now be achieved by novel time-efficient Surrogate-based Optimization (SBO) techniques. Extending and advancing our previously developed modular and flexible optimization framework, we propose to perform a calibration of two three-dimensional biogeochemical models of different structural complexity against real data of global distributions of phosphate and oxygen. The proposed interdisciplinary research at the interface of numerical optimization and marine biogeochemistry is expected to provide significant contributions to seek powerful and versatile tools for model-based investigations of marine ecosystems.
Marine Spatial Planning Game
Dr. Jörn Schmidt,
This project will initiate a partnership between the Future Ocean Cluster and the Earth Institute at Columbia University by collaborating on development of a novel, game-based platform that builds on prior investments of both partners. We propose to develop a computer-based interactive and interdisciplinary spatial planning game, that will combine the strengths of Kiel’s ecoOcean platform with the SMARTIC (Strategic MAnagement of Resources in TImes of Change) tool under development by the Earth Institute. Specifically, this proposal requests support to 1) adapt EcoOcean’s simulation software to depict region-specific case studies guided by the framework of the SMARTIC role playing game, and 2) to research the game’s effectiveness in helping the public and decision makers become “more aware of the need for responsible and sustainable use of the ocean …”
Lagrangian Connectivity Studies in Ocean General Circulation Models – a powerful tool in physical oceanography with a wide range of interdisciplinary applications
Dr. Arne Biastoch,
The Lagrangian description of flow fields is a powerful tool to investigate the oceanic circulation, and to trace movements of, e.g., biological particles. Lagrangian approaches have been widely used in observational oceanography, and more recently gained relevance in assessing ocean general circulation models (OGCMs). Although the simulation of trajectories using OGCM velocity outputs in an offline mode is well established, the analysis of up to millions of individual pathways is typically limited to qualitative descriptions and basic statistics, such as the calculation of mean transports. In addition, results may be biased due to poorly represented influence of meso- and submesoscale processes. This project aims to assess and improve Lagrangian connectivity studies, using output of a hierarchy of realistically driven OGCMs, including eddy-resolving configurations. Particular focus will be on the spreading of water masses within the Atlantic Meridional Overturning Circulation. Amounts, pathways, and timescales of deep water masses originating in the subpolar North Atlantic and arriving in the subtropics will be identified and contrasted to those of surface and intermediate water masses from sources in the Southern Hemisphere. An important component will be the testing and application of the improved methodology on examples of biological connectivity. The project will be supervised by Arne Biastoch (GEOMAR) and will be incorporated within R11 “Predicted Ocean”. It will benefit from multidisciplinary expertise through collaboration with Thorsten Reusch (GEOMAR) in R8 “Evolving Ocean”, Steffen Börm (CAU Kiel) and Bruno Blanke (LPO, Brest, France).
Employing high-resolution simulations of reactive flows through porous media to predict seafloor resources
Prof. Steffen Börm,
For the investigation of hydrothermal systems, fractured reservoirs and gas migration in the seafloor, accurate simulations of circulation processes through porous media are important. They allow reliable predictions and give a useful prognosis of geological hazards. It is a challenging task to develop models that represent the physical situation as well as possible on one hand. On the other hand the numerical solution of these models should be calculated within acceptable time. Especially for flows through porous and fractured media we need the possibility to solve high-resolution 3-D models, but solving 3-D models is much more memory and time consuming than 2-D models. Hence it is my goal to develop a new method for solving these problems. I propose an improved discretization technique and a Conjugate Gradient solver with geometric multi-grid preconditioning. Since the coarse grid will still be very large for complex geometries, I intend to use a hierarchical matrix method as a coarse grid solver in the multi-grid algorithm. Hierarchical matrices are particularly suitable for solving large linear systems in a storage and time efficient way. This allows us to investigate high-resolution models, particularly in fractured and complex media, like a structurally complex basalt layer or depleted oil reservoirs.
Deciphering the Lost Years, novel in‐situ/silico tracking of neonate seaturtles
Dr. Arne Biastoch,
The dispersal of juvenile organisms drives the life-history evolution, dynamics and habitats of many endangered marine vertebrate populations. However, the movements/behaviours of small organisms, like hatchling sea turtles, remain enigmatic. We thus propose a novel interdisciplinary campaign to utilise advances in the miniaturisation of animal tracking devices and conduct the first multi-day hatchling tracking study to gain crucial information on their movements/swimming behaviours whilst dispersing offshore. Custom-made “hatchling shaped drifters” will also be released into the ocean to acquire in-situ Lagrangian data on surface currents experienced by hatchlings and to track passive dispersal trajectories. These observations will be analysed in-silico with currents and particle drift simulated using ocean models that resolve current variability down to length scales of c.10 km.
From one‐ to three‐ dimensional thinking in global change research: Adding fluctuations to the usual static treatments may drastically change our understanding of pending environmental shifts.
Dr. Andreas Lehmann,
Climate change is projected to not only shift environmental means but to also increase variability around means and the intensity of extreme events. This may exert additional stress to organisms, or, in contrast, provide transient refuges from stress. We hypothesize that (i) fluctuating temperature stress will very differently affect marine organisms as compared to constant stress of the same mean intensity, and that (ii) the two additional dimensions of a stress regime, stress intensity (amplitude) and stress duration (frequency), will determine the biological impact. We will also analyse temperature time series of coastal Baltic Sea habitats with respect to shifts in any of these dimensions. By analysing on-going shifts in fluctuations in the context of sensitivities of organisms, observed from the lab experiments, we will be able to make more realistic predictions of climate change impacts on ecosystems.
Transatlantic sea‐to‐air nitrous oxide fluxes: What we can learn from isotope and eddy covariance techniques
We propose to use isotope and 15N site preference techniques, in conjunction with direct eddy covariance trace gas flux measurements, to better constrain the importance of the ocean as a source of nitrous oxide (N2O) to the atmosphere and quantify how various physical and biogeochemical variables regulate sea-to-air N2O fluxes.
Giving the climate community what they need: Continuous, autonomous direct measurements of carbon dioxide (CO2) air‐sea flux
Dr. Tobias Steinhoff,
Can eddy covariance measurements be used to directly determine open ocean CO2 flux continuously and autonomously? If yes, the key result of this work would be autonomous systems to mount onboard a fleet of voluntary observing ships (VOS) to provide continuous measurements of CO2 air-sea flux, in-situ, over unprecedented temporal/spatial scales. The impacts would be enormous, allowing the climate community to directly characterize the seasonal and interannual variations in the ocean’s uptake of anthropogenic CO2 and better predict future climate impacts.
LASSO_Lagrangian study of marine trace gas Air-Sea exchange over the Ocean
Dr. Christa Marandino,
Air – sea exchange processes of marine-derived trace gases at the land-coastal interface potentially impact climate, air quality, and human health. These processes need to be explored in order to close gaps in the understanding of the effect of concentration variation, emission strengths, and sources. Applying the novel technology of drones, including remote imaging, opens new dimensions of accessibility and flexibility that will address open scientific questions of air-sea exchange along coastal boundaries. We will conduct discrete air sampling with subsequent analysis of >50 trace gases across the surf zone. Concurrent imaging with the sampling will for the first time differentiate between advective and near-coastal processes, such as wave breaking, on the ambient gas concentrations.
Autonomous oceanic turtle drifters
Dr. Rebecca Scott,
Dispersal is a key life history trait amongst marine species. However many organisms, like hatchling sea turtles, are too small to be tracked. Here, we plan to develop novel autonomous oceanic turtle drifters that can be tracked via satellite to collect vital data on surface ocean currents and the impacts of active directional swimming on the dispersion of small organisms reliant on ocean currents for their survival and long distance dispersal. These observations will be analysed in-silico with currents and particle drift simulated using ocean models and key biological data.
The Future Ocean: A spatial audiovisual installation projecting the future of the oceans within an abstract soundscape
Dr. Nicolaas Glock,
Science influenced contemporary art and musical composition in many different facets, while the artistic presentation has led to new social and cultural perceptions about science[1]. Varese was inspired by processes like crystal growth, while Xenakis based his music on stochastic events. As a transdisciplinary artistic research project we propose to create an audiovisual installation based on projections about the future ocean focusing on sea level rise. Within the context of the “Wissenschaftsjahr der Ozeane 2016/17” this project acts within a good time frame for public debate. The sonic part of the installation will be based on concrete recorded sounds from the ocean and, respectively, oceanic research. These sounds will be used for asymmetric granular synthesis and other modular sound manipulations to create an abstract spatial soundscape. The whole project will be implemented in two parts: 1.: Development and presentation in the wave field synthesis laboratory at the centre for microtonal music and multimedia in Hamburg (Hochschule für Musik und Theater) and 2.: The creation of a new audio-visual installation in Kiel. Wave field synthesis can create virtual sound sources by producing wave fronts synthesized by a large number of individually controlled loud speakers. These virtual sound sources are independent from the position of the listener, e.g. a listener can walk around or through a virtual sound source. Sea level rise will be simulated by gradual filling of the room with “soundgrains” using granular synthesis, resulting in a gradual sound immersion of the recipient. Ocean acidification might be simulated by representing H3O+ ions with “soundgrains” which are stochastically distributed within the room and raise their concentration according to predicted future pH changes. Temperature changes might be represented by changes in pitch and spatial velocity of the sounds. After the realization of the project and presentation in the wave field synthesis lab the sonic part will be compiled to an installation in Kiel which will create a spatial sound field by the distribution of several loud speakers, using concrete instead of virtual sound sources. The visual part of the installation will support the soundscape and be created by the Muthesius Academy of Arts under supervision of Prof. Tom Duscher. With the use of projection mapping and sensors visual representations of the data will be projected into the special installation. While the visitor enters the installation the projection and sound will react to his movement. The presence of the visitor will interact with the environment as a metaphor of the real life relationship between men and nature. Visual elements can include maps of sea-level rise scenarios at different temporal and spatial scales photographs or movies of ice-sheet melting or graphs and maps of coastal population distribution and its responses to changing sea levels.