GCOAST Publications
Pein, J., Staneva, J., Biederbick, J., & Schrum, C. (2025). Model-based assessment of sustainable adaptation options for an industrialised meso tidal estuary. Ocean Modelling, 194, 102467. https://doi.org/10.1016/j.ocemod.2024.102467 Arlinghaus, P., Schrum, C., Kröncke, I., & Zhang, W. (2024): Benthos as a key driver of morphological change in coastal regions. Earth Surf. Dynam., 12, 537–558, doi:10.5194/esurf-12-537-2024 Benkort D, Christiansen N, Ho-Hagemann HTM, Daewel U and Gilles A (2024): How Do Offshore Wind Farms Affect the Ocean?. Front. Young Minds. 12:1336535. doi: 10.3389/frym.2024.1336535 Hagemann, S., Nguyen, T. T., and Ho-Hagemann, H. T. M. (2024): A three-quantile bias correction with spatial transfer for the correction of simulated European river runoff to force ocean models, Ocean Sci., 20, 1457–1478, https://doi.org/10.5194/os-20-1457-2024 Ho-Hagemann, H. T. M., Maurer, V., Poll, S., and Fast, I. (2024): Coupling the regional climate model ICON-CLM v2.6.6 to the Earth system model GCOAST-AHOI v2.0 using OASIS3-MCT v4.0, Geosci. Model Dev., 17, 7815–7834, https://doi.org/10.5194/gmd-17-7815-2024 Ho-Hagemann, H.T.M. (2024): Regional Earth system model GCOAST-AHOI v2.0 with ICON-CLM (1.0.1). Zenodo. https://doi.org/10.5281/zenodo.11057794 ICON partnership (MPI-M; DWD; DKRZ; KIT; C2SM) (2024). ICON release 2024.10. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.35089/WDCC/IconRelease2024.10 Logemann, K., & Klockmann, M. (2024). ICON Mesh Splitter version 1.2 - A program to create irregular computational meshes for ICON-O. Zenodo. https://doi.org/10.5281/zenodo.12686047 Mathis, M., Lacroix, F., Hagemann, S., Nielsen, D.M., Ilyina, T., & Schrum, C. (2024): Enhanced CO2 uptake of the coastal ocean is dominated by biological carbon fixation. Nat. Clim. Chang., doi:10.1038/s41558-024-01956-w Pein, J., Staneva, J. (2024). Eutrophication hotspots, nitrogen fluxes and climate impacts in estuarine ecosystems: A model study of the Odra estuary system. Ocean Dynamics 74, 335–354. https://doi.org/10.1007/s10236-024-01607-w Pein, J., Staneva, J., Biederbick, J., & Schrum, C. (2024). Model-based assessment of sustainable adaptation options for an industrialised meso-tidal estuary. Ocean Modelling, 102467. https://doi.org/10.1016/j.ocemod.2024.102467 Porz, L., Zhang, W., Christiansen, N., Kossack, J., Daewel, U., & Schrum, C. (2024): Quantification and mitigation of bottom-trawling impacts on sedimentary organic carbon stocks in the North Sea. Biogeosciences, 21, 2547–2570, doi:10.5194/bg-21-2547-2024 Zhang, W., Porz, L., Yilmaz, R., Wallmann, K., Spiegel, T., Neumann, A., Holtappels, M., Kasten, S., Kuhlmann, J., Ziebarth, N., Taylor, B., Ho-Hagemann, H.T.M., Bockelmann, F.-D., Daewel, U., Bernhardt, L., and Schrum, C. (2024): Impacts of bottom trawling on long-term carbon storage in shelf sea sediments, Nature Geoscience, https://doi.org/10.1038/s41561-024-01581-4 Bieser, J., Amptmeijer, D. J., Daewel, U., Kuss, J., Soerensen, A. L., and Schrum, C. (2023): The 3D biogeochemical marine mercury cycling model MERCY v2.0 – linking atmospheric Hg to methylmercury in fish, Geosci. Model Dev., 16, 2649–2688, https://doi.org/10.5194/gmd-16-2649-2023 Christiansen N, Carpenter JR, Daewel U, Suzuki N and Schrum C (2023). The large scale impact of anthropogenic mixing by offshore wind turbine foundations in the shallow North Sea Front . Mar. Sci . 10:1178330. https://doi.org/10.3389/fmars.2023.1178330 Grayek, S., Wiese A. , Ho-Hagemann, H. T. M., Staneva, J., (2023): Added Value of Including Waves into Coupled Atmosphere-Ocean Model System within the North Sea Area, Frontiers in Marine Science, DOI 10.3389/fmars.2023.1104027 Akhtar, N., Geyer, B. & Schrum, C. Impacts of accelerating deployment of offshore windfarms on near-surface climate. Sci Rep 12, 18307 (2022). https://doi.org/10.1038/s41598-022-22868-9 Jungclaus, J. H., Lorenz, S. J., Schmidt, H., Brovkin, V., Brüggemann, N., Chegini, F., Crüger, T., De-Vrese, P., Gayler, V., Giorgetta, M. A., Gutjahr, O., Haak, H., Hagemann, S., Hanke, M., Ilyina, T., Korn, P., Kröger, J., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Müller, W. A., Nabel, J. E. M. S., Notz, D., Pohlmann, H., Putrasahan, D. A., Raddatz, T., Ramme, L., Redler, R., Reick, C. H., Riddick, T., Sam, T., Schneck, R., Schnur, R., Schupfner, M., Von Storch, J.-S., Wachsmann, F., Wieners, K.-H., Ziemen, F., Stevens, B., Marotzke, J., and Claussen, M. (2022): The ICON Earth System Model version 1.0, J. Adv. Model. Earth Syst., 14, e2021MS002813. https://doi.org/10.1029/2021MS002813 Korn, P., Brüggemann, N., Jungclaus, J. H., Lorenz, S. J., Gutjahr, O., Haak, H., et al. (2022): ICON-O: The ocean component of the ICON Earth system model—Global simulation characteristics and local telescoping capability. Journal of Advances in Modeling Earth Systems, 14, e2021MS002952. https://doi.org/10.1029/2021MS002952 Mathis, M., Logemann, K., Maerz, J., Lacroix, F., Hagemann, S., Chegini, F., Ramme, L., Ilyina, T., Korn, P., & Schrum, C. (2022): Seamless integration of the coastal ocean in global marine carbon cycle modeling. Journal of Advances in Modeling Earth Systems, 14, doi:10.1029/2021MS002789 Mathis, M., Logemann, K., Maerz, J., Lacroix, F., Hagemann, S., Chegini, F., Ramme, L., Ilyina, T., Korn, P., & Schrum, C. (2022): Seamless integration of the coastal ocean in global marine carbon cycle modeling. Journal of Advances in Modeling Earth Systems, 14, doi:10.1029/2021MS002789 Logemann, K., Linardakis, L., Korn, P., & Schrum, C. (2021): Global tide simulations with ICON-O: testing the model performance on highly irregular meshes. Ocean Dynamics 71, 43–57, doi:10.1007/s10236-020-01428-7 Pein, J., Eisele, A., Sanders, T., Daewel, U., Stanev, E. V., Van Beusekom, J. E., Staneva, J. and Schrum, C. (2021a). Seasonal stratification and biogeochemical turnover in the freshwater reach of a partially mixed dredged estuary. Frontiers in Marine Science, 8, 623714. Pein, J., Staneva, J., Daewel, U., and Schrum, C. (2021b). Channel curvature improves water quality and nutrient filtering in an artificially deepened mesotidal idealized estuary. Continental Shelf Research, 231, 104582. https://doi.org/10.1016/j.csr.2021.104582 Pham, T. V., Steger, C., Rockel, B., Keuler, K., Kirchner, I., Mertens, M., Rieger, D., Zängl, G., and Früh, B. (2021): ICON in Climate Limited-area Mode (ICON release version 2.6.1): a new regional climate model, Geosci. Model Dev., 14, 985–1005, https://doi.org/10.5194/gmd-14-985-2021 Reick, C., Gayler, V., Goll, D., Hagemann, S., Heidkamp, M., Nabel, J., Raddatz, T., Roeckner, E., Schnur, R., and Wilkenskjeld, S. (2021): JSBACH 3 – The land component of the MPI Earth System Model: Documentation of version 3.2, Berichte zur Erdsystemforschung, 240, Max Planck Institute for Meteorology, Hamburg, https://doi.org/10.17617/2.3279802 Stacke, T. and Hagemann, S. (2021): HydroPy (v1.0): a new global hydrology model written in Python, Geosci. Model Dev., 14, 7795–7816, https://doi.org/10.5194/gmd-14-7795-2021 Staneva, J., Grayek, S., Behrens, A., & Günther, H. (2021): GCOAST: Skill assessments of coupling wave and circulation models (NEMO-WAM). Journal of Physics: Conference Series, Vol. 1730, 01207I, doi:10.1088/1742-6596/1730/1/012071 van de Wolfshaar KE, Daewel U, Hjøllo SS, Troost TA and others (2021) Sensitivity of the fish community to different prey fields and importance of spatial-seasonal patterns. Mar Ecol Prog Ser 680:79-95. https://doi.org/10.3354/meps13885 van de Wolfshaar KE, Daewel U, Hjøllo SS, Troost TA and others (2021) Sensitivity of the fish community to different prey fields and importance of spatial-seasonal patterns. Mar Ecol Prog Ser 680:79-95. https://doi.org/10.3354/meps13885 Akhtar, Naveed; Chatterjee, Fabien (2020). Wind farm parametrization in COSMO5.0_clm15. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.35089/WDCC/WindFarmPCOSMO5.0clm15 Hagemann, S., T. Stacke and H. Ho-Hagemann (2020) High resolution discharge simulations over Europe and the Baltic Sea catchment. Front. Earth Sci., 8:12. https://doi.org/10.3389/feart.2020.00012 Ho-Hagemann, H.T.M., Hagemann, S., Grayek, S., Petrik, R., Rockel, B., Staneva, J., Feser, F., & Schrum, C. (2020): Internal Model Variability of the Regional Coupled System Model GCOAST-AHOI. Atmosphere 2020, 11, 227, doi:10.3390/atmos11030227 Wiese, A., Staneva, J., Ho-Hagemann, H.T.M., Grayek, S., Koch, W., & Schrum, C. (2020): Internal Model Variability of Ensemble Simulations With a Regional Coupled Wave-Atmosphere Model GCOAST. Front. Mar. Sci. 7:596843, doi:10.3389/fmars.2020.596843 Xu, X., Lemmen, C., & Wirtz, K. W. (2020). Less Nutrients but More Phytoplankton: Long-Term Ecosystem Dynamics of the Southern North Sea. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.00662 Daewel, U., Schrum, C., and 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, https://doi.org/10.5194/gmd-12-1765-2019 Lewis, H.W., Castillo Sanchez, J.M., Siddorn, J., King, R.R., Tonani, M., Saulter, A., Sykes, P., Pequignet, A.-C., Weedon, G.P., Palmer, T., Staneva, J., & Bricheno, L. (2019): Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf? Ocean Sci., 15, 669-690, doi:10.5194/os-15-669-2019 Mey-Frémaux, P. de, Ayoub, N., Barth, A., Brewin, R., Charria, G., Campuzano, F., Ciavatta, S., Cirano, M., Edwards, C.A., Federico, I., Gao, S., Hermosa, I.G., Sotillo, M.G., Hewitt, H., Hole, L.R., Holt, J., King, R., Kourafalou, V., Lu, Y., Mourre, B., Pascual, A., Staneva, J., Stanev, E.V., Wang, H., & Zhu, X. (2019): Model-Observations Synergy in the Coastal Ocean. Front. Mar. Sci., 23 July 2019, doi:10.3389/fmars.2019.00436 Pein, J., Eisele, A., Hofmeister, R., Sanders, T., Daewel, U., Stanev, E.V., van Beusekom, J., Staneva, J., & Schrum, C. (2019): Nitrogen cycling in the Elbe estuary from a joint 3D-modelling and observational perspective. Biogeosciences Discuss., (July), 1–34, doi:10.5194/bg-2019-265 Ponte, R.M., Carson, M., Cirano, M., Domingues, C.M., Jevrejeva, S., Marcos, M., Mitchum, G., Wal, R.S.W. van de, Woodworth, P.L., Ablain, M., Ardhuin, F., Ballu, V., Becker, M., Benveniste, J., Birol, F., Bradshaw, E., Cazenave, A., Mey-Frémaux, P. de, Durand, F., Ezer, T., Fu, L.-L., Fukumori, I., Gordon, K., Gravelle, M., Griffies, S.M., Han, W., Hibbert, A., Hughes, C.W., Idier, D., Kourafalou, V.H., Little, C.M., Matthews, A., Melet, A., Merrifield, M., Meyssignac, B., Minobe, S., Penduff, T., Picot, N., Piecuch, C., Ray, R.D., Rickards, L., Santamaría-Gómez, A., Stammer, D., Staneva, J., Testut, L., Thompson, K., Thompson, P., Vignudelli, S., Williams, J., Williams, S.D.P., Wöppelmann, G., Zanna, L., & Zhang, X. (2019): Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level. Front. Mar. Sci. 6:437, doi:10.3389/fmars.2019.00437 Staneva, J., Behrens, A., Gayer, G., & Aouf, L. (2019): Synergy between CMEMS products and newly available data from SENTINEL. In: Schuckmann, K., et al. (2019): Copernicus Marine Service Ocean State Report, Issue 3, Chapter 3.3, Journal of Operational Oceanography, doi:10.1080/1755876X.2019.1633075 Slavik, K., Lemmen, C., Zhang, W., Kerimoglu, O., Klingbeil, K., & Wirtz, K.W. (2019): The large scale impact of offshore windfarm structures on pelagic primary production in the southern North Sea. Hydrobiologia (2019) 845: 35, doi:10.1007/s10750-018-3653-5 Wiese, A., Stanev, E., Koch, W., Behrens, A., Geyer, B., & Staneva, J. (2019): The Impact of the Two-Way Coupling between Wind Wave and Atmospheric Models on the Lower Atmosphere over the North Sea. Atmosphere 2019, 10, 386, doi:10.3390/atmos10070386 Wirtz, K. W. (2019). Physics or biology? Persistent chlorophyll accumulation in a shallow coastal sea explained by pathogens and carnivorous grazing. PLOS ONE, 14(2), e0212143. https://doi.org/10.1371/journal.pone.0212143 Wu, L., Staneva, J., Breivik, Ø., Rutgersson, A., Nurser, A.J.G., Clementi, E., & Madec, G. (2019): Wave effects on coastal upwelling and water level. Ocean Modelling, Volume 140, doi:10.1016/j.ocemod.2019.101405 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 Cavaleri, L., Abdalla, S., Benetazzo, A., Bertotti, L., Bidlot, J.-R., Breivik, Ø., Carniel, S., Jensen, R.E., Portilla-Yandun, J., Rogers, W.E., Roland, A., Sanchez-Arcilla, A., Smith, J.M., Staneva, J., Toledo, Y., Vledder, G.Ph. van, & Westhuysen, A.J. van der (2018): Wave modelling in coastal and inner seas. Progress in Oceanography, doi:10.1016/j.pocean.2018.03.010 Giorgetta, M. A., Brokopf, R., Crueger, T., Esch, M., Fiedler, S., Helmert, J., Hohenegger, C., Kornblueh, L., Köhler, M., Manzini, E., Mauritsen, T., Nam, C., Raddatz, T., Rast, S., Reinert, D., Sakradzija, M., Schmidt, H., Schneck, R., Schnur, R., Silvers, L., Wan, H., Zängl, G., and Stevens, B. (2018): ICON-A, the atmosphere component of the ICON EarthSystem Model: I. Model description, J. Adv. Model. Earth Syst., 10, 1613–1637, https://doi.org/10.1002/2017MS001242 Lemmen, C. (2018). North Sea Ecosystem-Scale Model-Based Quantification of Net Primary Productivity Changes by the Benthic Filter Feeder Mytilus edulis. Water, 10(11), 1527. https://doi.org/10.3390/w10111527 Lemmen, C., Hofmeister, R., Klingbeil, K., Nasermoaddeli, M.H., Kerimoglu, O., Burchard, H., Kösters, F., & Wirtz, K.W. (2018): Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling. Geosci. Model Dev., 11, 915-935, doi:10.5194/gmd-11-915-2018 Nasermoaddeli, M. H., Lemmen, C., Stigge, G., Kerimoglu, O., Burchard, H., Klingbeil, K., Hofmeister, R., Kreus, M., Wirtz, K. W., & Kösters, F. (2018). A model study on the large-scale effect of macrofauna on the suspended sediment concentration in a shallow shelf sea. Estuarine, Coastal and Shelf Science, 211, 62–76. https://doi.org/10.1016/j.ecss.2017.11.002 Staneva, J., Behrens, A., Ricker, M., Krüger, O., Wiesse, A., Carrasco, R., Breivik, Ø., & Schrum, C. (2018): Particle transport model sensitivity on wave-induced processes in the forecasting, coupled model system, Operational Oceanography serving Sustainable Marine Development. E. Buch, V. Fernández, D. Eparkhina, P. Gorringe and G. Nolan (Eds.). ISBN 978-2-9601883-3-2, 516 pp. Staneva, J., Schrum, C., Behrens, A., Grayek, S., Ho-Hagemann, H., Alari, V., Breivik, Ø., & Bidlot, J.-R. (2018): A North Sea - Baltic Sea regional coupled models: atmosphere, wind, waves and ocean. In: Buch, E., Fernández, V., Eparkhina, D., Gorringe, P., & Nolan, G. (Eds.): Operational Oceanography serving Sustainable Marine Development. Proceedings of the Eight EuroGOOS International Conference, 516 pp, ISBN 978-2-9601883-3-2. Madec, G., Bourdallé-Badie, R., Bouttier, P.-A., Bricaud, C., Bruciaferr, D., Calvert, D., Chanut, J., Clementi, E., Coward, A., Delrosso, D., Ethé, C., Flavoni, S., Graham, T., Harle, J., Iovino, D., Lea, D., Lévy, C., Lovato, T., Martin, N., and Vancoppenolle, M. (2017): NEMO ocean engine. Notes du Pôle de modélisation de l'Institut Pierre-Simon Laplace (IPSL), 27, Zenodo, https://doi.org/10.5281/zenodo.3248739 Schloen, J., Stanev, E.V., & Grashorn, S. (2017): Wave-current interactions in the southern North Sea: The impact on salinity. Ocean Modelling 111 (2017) 19–37, doi:10.1016/j.ocemod.2017.01.003 Wahle, K., Staneva, J., Koch, W., Fenoglio-Marc, L., Ho-Hagemann, H.T.M., & Stanev, E.V. (2017): An atmosphere–wave regional coupled model: improving predictions of wave heights and surface winds in the southern North Sea. Ocean Sci., 13, 289-301, doi:10.5194/os-13-289-2017 Zhang, W., & Wirtz, K. (2017): Mutual dependence between sedimentary organic carbon and infaunal macrobenthos resolved by mechanistic modeling. Journal of Geophysical Research: Biogeosciences, 122, doi:10.1002/2017JG003909 Staneva, J., Alari, V., Breivik, Ø., Bidlot, J.-R., & Mogensen, K. (2016): Effects of wave-induced forcing on a circulation model of the North Sea. Ocean Dynamics, doi:10.1007/s10236-016-1009-0 Zängl, G., Reinert, D., Rípodas, P., and Baldauf, M. (2015): The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core, Q. J. Roy. Meteor. Soc., 141, 563–579, https://doi.org/10.1002/qj.2378 Bruggeman, J., Bolding, K., (2014): A general framework for aquatic biogeochemical models. Environmental Modelling & Software 61: 249–265. DOI: 10.1016/j.envsoft.2014.04.002 Daewel, U., & Schrum, C. (2013): Simulating long-term dynamics of the coupled North Sea and Baltic Sea ecosystem with ECOSMO II: Model description and validation. J. Mar. Syst. 119–120, 30–49, doi:10.1016/j.jmarsys.2013.03.008 Stacke, T. and S. Hagemann (2012) Development and validation of a global dynamical wetlands extent scheme. Hydrol. Earth Syst. Sci. 16, https://doi.org/10.5194/hess-16-2915-2012: 2915-2933 Amante, C. and Eakins, B.W. (2009): ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, NOAA. doi:10.7289/V5C8276M Rockel, B., Will, A., and Hense, A. (2008): The regional climate model COSMO-CLM (CCLM), Meteorol. Z., 17, 347–348, https://doi.org/10.1127/0941-2948/2008/0309
