Mein Forschungsinteresse gilt der Untersuchung von Wechselwirkungen zwischen biologischen und physikalischen Prozessen im Ozean. Hierzu entwickele und verwende ich komplexe dreidimensionale numerische Modelle. Dabei handelt es sich zum einen um Individuen Basierte Transportmodelle (IBM) zur Simulation, von z.B. Fischlarven im Ozean. Zum anderen arbeite ich mit Ökosystemmodellen, mit deren Hilfe sich Langzeitveränderungen der marinen Primärproduktion und Stoff- und Energieflüsse im marinen Nahrungsnetz untersuchen lassen.
- Daewel, U., Yakushev, E.V., Schrum, C., Nizzetto, L., & Mikheeva, E. (2020): Understanding the Role of Organic Matter Cycling for the Spatio-Temporal Structure of PCBs in the North Sea. Water 2020, 12, 817, doi:10.3390/w12030817
- Pein, J., Eisele, A., Hofmeister, R., Sanders, T., Daewel, U., Stanev, E.V., Beusekom, J. van, Staneva, J., & Schrum, C. (2019): Nitrogen cycling in the Elbe estuary from a joint 3D-modelling and observational perspective. Biogeosciences Discuss., doi:10.5194/bg-2019-265
- Charrieau, L.M., Ljung, K., Schenk, F., Daewel, U., Kritzberg, E., & Filipsson, H.L. (2019): Rapid environmental responses to climate-induced hydrographic changes in the Baltic Sea entrance. Biogeosciences, 16, 3835–3852, doi:10.5194/bg-16-3835-2019
- Zhang, W., Wirtz, K., Daewel, U., Wrede, A., Kröncke, I., Kuhn, G., Neumann, A., Meyer, J., Ma, M., & Schrum, C. (2019): The budget of macrobenthic reworked organic carbon - a modelling case study of the North Sea. Journal of Geophysical Research-Biogeosciences, doi:10.1029/2019JG005109
- Daewel, U., Schrum, C., & Macdonald, J.I. (2019): Towards end-to-end (E2E) modelling in a consistent NPZD-F modelling framework (ECOSMO E2E_v1.0): application to the North Sea and Baltic Sea. Geosci. Model Dev., 12, 1765-1789, doi:10.5194/gmd-12-1765-2019
- Zhao, C., Daewel, U., & Schrum, C. (2019): Tidal impacts on primary production in the North Sea. Earth Syst. Dynam., 10, 287-317, doi:10.5194/esd-10-287-2019
- Samuelsen, A., Daewel, U., & Wettre, C. (2019): Risk of oil contamination of fish eggs and larvae under different oceanic and weather conditions. ICES Journal of Marine Science, fsz035, doi:10.1093/icesjms/fsz035
- Årthun, M., Bogstad, B., Daewel, U., Keenlyside, N.S., Sandø, A.B., Schrum, C., & Ottersen, G. (2018): Climate based multi-year predictions of the Barents Sea cod stock. PLoS ONE 13(10): e0206319, doi:10.1371/journal.pone.0206319
- Samuelsen, A., Schrum, C., Castano Primo, R., Yumruktepe, C.V., & Daewel, U. (2018): A model hindcast of bottom environmental conditions in the North Atlantic Ocean 1948 to 2014. Nansen Environmental and Remote Sensing Center, PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.889396
- Maar, M., Butenschön, M., Daewel, U., Eggert, A., Fan, W., Hjøllo, S.S., Hufnagl, M., Huret, M., Ji, R., Lacroix, G., Peck, M.A., Radtke, H., Sailley, S., Sinerchia, M., Skogen, M.D., Travers-Trolet, M., Troost, T.A., & Wolfshaar, K. van de (2018): Responses of summer phytoplankton biomass to changes in top-down forcing: Insights from comparative modelling. Ecological Modelling, Volume 376, 2018, Pages 54-67, doi:10.1016/j.ecolmodel.2018.03.003
- Daewel, Ute; Schrum, Corinna (2017): ECOSMO II hindcast simulations for the North Sea and Baltic Sea (1948-2008). World Data Center for Climate (WDCC) at DKRZ, doi:10.1594/WDCC/ECOSMOII_NCEP.1948-2008
- Daewel U, Schrum C (2017): Low frequency variability in North Sea and Baltic Sea identified through simulations with the 3-d coupled physical-biogeochemical model ECOSMO. Earth Syst Dyn Discuss, doi:10.5194/esd-8-801-2017
- Hufnagl M, Payne M, Lacroix G, Bolle LJ, Daewel U, Dickey-Collas M, Gerkema T, Huret M, Janssen F, Kreus M, Pätsch J, Pohlmann T, Ruardij P, Schrum C, Skogen MD, Tiessen MCH, Petitgas P, Beek JKL van, Veer HW van der, Callies U (2017): Variation that can be expected when using particle tracking models in connectivity studies. J Sea Res , doi:10.1016/j.seares.2017.04.009
- Gharamti ME, Samuelsen A, Bertino L, Simon E, Korosov A, Daewel U (2017): Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic. J Mar Syst 168:1–16, doi:10.1016/j.jmarsys.2016.12.003
- Holt, J., Schrum, C., Cannaby, H., Daewel, U., Allen, I., Artioli, Y., Bopp, L., Butenschon, M., Fach, B.A., Harle, J., Pushpadas, D., Salihoglu, B., Wakelin, S. (2016): Potential impacts of climate change on the primary production of regional seas: A comparative analysis of five European seas. Prog. Oceanogr. 140, 91–115. doi:10.1016/j.pocean.2015.11.004
- Daewel, U., Schrum, C., Gupta, A. (2015): The predictive potential of early life stage individual-based models (IBMs): an example for Atlantic cod Gadus morhua in the North Sea. Mar. Ecol. Prog. Ser. 534, 199–219, doi:10.3354/meps11367
- Pushpadas, D., Schrum, C., Daewel, U. (2015): Projected climate change impacts on North Sea and Baltic Sea: CMIP3 and CMIP5 model based scenarios. Biogeosciences Discussions 12, 2015, doi:10.5194/bgd-12-12229-2015
- Burt, W.J., Thomas, H., Pätsch, J., Omar, A.M., Schrum, C., Daewel, U., Brenner, H., de Baar, H.J.W. (2014): Radium isotopes as a tracer of sediment-water column exchange in the North Sea. Global Biogeochem. Cycles 28 (8), 786-804 doi:10.1002/2014GB004825
- Chust, G., Allen, J.I., Bopp, L., Schrum, C., Holt, J., Tsiaras, K., Zavatarelli, M., Chifflet, M., Cannaby, H., Dadou, I., Daewel, U., Wakelin, S.L., Machu, E., Pushpadas, D., Butenschon, M., Artioli, Y., Petihakis, G., Smith, C., Garçon, V., Goubanova, K., Le Vu, B., Fach, B.A., Salihoglu, B., Clementi, E., Irigoien, X. (2014): Biomass changes and trophic amplification of plankton in a warmer ocean. Glob. Chang. Biol. 20, 2124–39. doi:10.1111/gcb.12562
- Daewel, U., Hjøllo, S.S., Huret, M., Ji, R., Maar, M., Niiranen, S., Travers-Trolet, M., Peck, M.A., van de Wolfshaar, K.E. (2013): Predation control of zooplankton dynamics: a review of observations and models. ICES Journal of Marine Science, doi:10.1093/icesjms/fst125
- Daewel, U. and Schrum, C. (2013): Simulating long-term dynamics of the coupled North Sea and Baltic Sea ecosystem with ECOSMO II: Model description and validation. Journal of Marine Systems 119-120: 30–49, doi:10.1016/j.jmarsys.2013.03.008
- Barthel, Knut, Daewel, U., Pushpadas, D., Schrum, C., Årthun, M., & Wehde, H. (2012): Resolving frontal structures: on the payoff using a less diffusive but computationally more expensive advection scheme. Ocean Dynamics, 62(10-12): 1457-1470, doi:10.1007/s10236-012-0578-9
- Daewel, U., Schrum, C., Temming, A. (2011): Towards a more complete understanding of the life cycle of brown shrimp (Crangon crangon): modelling passive larvae and juvenile transport in combination with physically forced vertical juvenile migration. Fisheries Oceanography 20:479-496, doi:10.1111/j.1365-2419.2011.00597.x
- Daewel, U., Peck, M.A., Schrum, C. (2011): Life history strategy and impacts of environmental variability on early life stages of two marine fishes in the North Sea: an individual-based modelling approach. Can. J. Fish. Aquat. Sci. 68: 426-443, doi:10.1139/F10-164
- Rose, K.A., Allen, J.I., Artioli, Y., Barange, M., Blackford, J., Carlotti, F., Cropp, R., Daewel, U., Flynn, K., Hill, S., Hille Ris Lambers, R., Huse, G., Mackinson, S., Megrey, B.A., Moll, A., Rivkin, R., Salihoglu, B., Schrum, C., Shannon, L., Shin, Y., Smith, L., Smith, C., Soldoro, C., St John, M., Zhou, M. (2010): End-To-End Models for the Analysis of Marine Ecosystems: Challenges, Issues, and Next Steps. Marine and Coastal Fisheries 2:115-130, doi:10.1577/C09-059.1
- Daewel, U. and Schrum, C. (2010): Mechanistic coupled biophysical models. In Cod and Future Climate Change, Ken Drinkwater, Corinna Schrum, Keith Brander (Eds.). ICES cooperative research report No. 305: 26-31
- Drinkwater, K., Schrum, C., and Brander, K. (Eds). 2010: Cod and future climate change. ICES Cooperative Research Report No. 305. 88 pp
- Kühn, W., Peck, M.A., Hinrichsen, H.-H., Daewel, U., Moll, A., Pohlmann, T., Stegert, C., Tamm, S. (2008): Spatial and temporal changes in the habitat suitability of the German Bight (southern North Sea) for larval sprat: An IBM approach using size-structured prey fields. J. Mar. Sys. 74, 1-2, 329-342, doi:10.1016/j.jmarsys.2008.02.002
- Daewel, U., Peck, M.A., Kühn, W., St. John, M.A., Alekseeva, I., and Schrum, C. (2008): Coupling ecosystem and individual-based models to simulate the influence of climate variability on potential growth and survival of larval sprat in the North Sea. Fisheries Oceanography 17(5):333–351, doi:10.1111/j.1365-2419.2008.00482.x
- Daewel, U., Peck, M.A., Schrum, C., St. John, M.A. (2008): How best to include the effects of climate-driven forcing on prey fields in larval fish individual-based models. Journal of Plankton Research 30(1):1–5, doi:10.1093/plankt/fbm094
- Peck M.A., and Daewel, U. (2007): Physiologically based limits to food consumption, and individual-based modeling of foraging and growth of larval fishes. Mar. Ecol. Prog. Ser. 347: 171–183
- Christensen, A., Daewel, U., Jensen, H., Mosegaard, H., St. John, M.A., Schrum, C. (2007): Hydrodynamic backtracking of fish larvae by individual-based modelling. Mar. Ecol. Prog. Ser. 347: 221–232, doi:10.3354/meps06980