2019

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Lüdtke, S., Schröter, K., Steinhausen, M., Weise, L., Figueiredo, R., Kreibich, H. 

    (2019 online first): A consistent approach for probabilistic residential flood loss modeling in Europe. - Water Resources Research.
    DOI: http://doi.org/10.1029/2019WR026213

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  • Rözer, V., Kreibich, H., Schröter, K., Müller, M., Sairam, N., Doss‐Gollin, J., Lall, U., Merz, B. 

    (2019): Probabilistic models significantly reduce uncertainty in Hurricane Harvey pluvial flood loss estimates. - Earth's Future, 7, 4, pp. 384-394.
    DOI: http://doi.org/10.1029/2018EF001074

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  • Sairam, N., Schröter, K., Rözer, V., Merz, B., Kreibich, H. 

    (2019): Hierarchical Bayesian Approach for Modelling Spatio‐temporal Variability in Flood Damage Processes. - Water Resources Research, 55, 10, pp. 8223-8237.
    DOI: http://doi.org/10.1029/2019WR025068

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  • Sairam, N., Schröter, K., Lüdtke, S., Merz, B., Kreibich, H. 

    (2019): Quantifying Flood Vulnerability Reduction via Private Precaution. - Earth's Future, 7, 3, pp. 235-249.
    DOI: http://doi.org/10.1029/2018EF000994

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2018

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Carisi, F., Schröter, K., Domeneghetti, A., Kreibich, H., Castellarin, A. 

    (2018): Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy). - Natural Hazards and Earth System Sciences (NHESS), 18, pp. 2057-2079.
    DOI: http://doi.org/10.5194/nhess-18-2057-2018

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  • Figueiredo, R. P. C., Schröter, K., Weiss-Motz, A., Martina, M. L. V., Kreibich, H. 

    (2018): Multi-model ensembles for assessment of flood losses and associated uncertainty. - Natural Hazards and Earth System Sciences (NHESS), 18, pp. 1297-1314.
    DOI: http://doi.org/10.5194/nhess-18-1297-2018

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  • Hattermann, F. F., Wortmann, M., Liersch, S., Toumi, R., Sparks, N., Genillard, C., Schröter, K., Steinhausen, M., Gyalai-Korpos, M., Máté, K., Hayes, B., del Rocío Rivas López, M., Rácz, T., Nielsen, M. R., Kaspersen, P. S., Drews, M. 

    (2018): Simulation of flood hazard and risk in the Danube basin with the Future Danube Model. - Climate Services, 12, pp. 14-26.
    DOI: http://doi.org/10.1016/j.cliser.2018.07.001

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  • Merz, B., Nguyen, D., Apel, H., Gerlitz, L., Schröter, K., Steirou, E., Vorogushyn, S. 

    (2018): Spatial coherence of flood-rich and flood-poor periods across Germany. - Journal of Hydrology, 559, pp. 813-826.
    DOI: http://doi.org/10.1016/j.jhydrol.2018.02.082

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  • Metin, A. D., Nguyen, D., Schröter, K., Guse, B., Apel, H., Kreibich, H., Vorogushyn, S., Merz, B. 

    (2018): How do changes along the risk chain affect flood risk?. - Natural Hazards and Earth System Sciences (NHESS), 18, pp. 3089-3108.
    DOI: http://doi.org/10.5194/nhess-18-3089-2018

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  • Schröter, K., Molinari, D., Kunz, M., Kreibich, H. 

    (2018): Preface: Natural hazard event analysis for risk reduction and adaptation. - Natural Hazards and Earth System Sciences (NHESS), 18, pp. 963-968.
    DOI: http://doi.org/10.5194/nhess-18-963-2018

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  • Schröter, K., Lüdtke, S., Redweik, R., Meier, J., Bochow, M., Ross, L., Nagel, C., Kreibich, H. 

    (2018): Flood loss estimation using 3D city models and remote sensing data. - Environmental Modelling and Software, 105, pp. 118-131.
    DOI: http://doi.org/10.1016/j.envsoft.2018.03.032

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  • Vogel, K., Weise, L., Schröter, K., Thieken, A. H. 

    (2018): Identifying Driving Factors in Flood-Damaging Processes Using Graphical Models. - Water Resources Research, 54, 11, pp. 8864-8889.
    DOI: http://doi.org/10.1029/2018WR022858

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  • Vorogushyn, S., Bates, P. D., de Bruijn, K., Castellarin, A., Kreibich, H., Priest, S., Schröter, K., Bagli, S., Blöschl, G., Domeneghetti, A., Gouldby, B., Klijn, F., Lammersen, R., Neal, J. C., Ridder, N., Terink, W., Viavattene, C., Viglione, A., Zanardo, S., Merz, B. 

    (2018): Evolutionary leap in large-scale flood risk assessment needed. - Wiley Interdisciplinary Reviews: Water, 5, 2.
    DOI: http://doi.org/10.1002/wat2.1266

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  • Wagenaar, D., Lüdtke, S., Schröter, K., Bouwer, L. M., Kreibich, H. 

    (2018): Regional and Temporal Transferability of Multivariable Flood Damage Models. - Water Resources Research, 54, 5, pp. 3688-3703.
    DOI: http://doi.org/10.1029/2017WR022233

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• Zeitschriftenartikel (Sonstige Zeitschriften)

  • Dransch, D., Kyba, C., Schröter, K., Yang, B., Schorlemmer, D., Barz, B., Denzler, J. 

    (2018): Citizen Science : gemeinsam Wissen schaffen. - System Erde, 8, 1
    DOI: http://doi.org/10.2312/GFZ.syserde.08.01.7

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  • Kreibich, H., Schröter, K., Shprits, Y., Bedford, J., Tilmann, F. 

    (2018): Maschinelles Lernen verbessert Gefährdungs- und Risikoanalysen von Naturgefahren. - System Erde, 8, 1
    DOI: http://doi.org/10.2312/GFZ.syserde.08.01.2

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• Buchkapitel

  • Merz, B., Apel, H., Nguyen, D., Falter, D., Guse, B., Hundecha, Y., Kreibich, H., Schröter, K., Vorogushyn, S. 

    (2018): From Precipitation to Damage: A Coupled Model Chain for Spatially Coherent, Large‐Scale Flood Risk Assessment. - In: Schumann, G. J., Bates, P. D., Apel, H., Aronica, G. T.(Eds.), Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting, (Geophysical Monograph Series ; 233), John Wiley & Sons, Inc., pp. 169-183.
    DOI: http://doi.org/10.1002/9781119217886.ch10

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• Konferenzbeitrag

  • Schröter, K., Steinhausen, M., Yang, B., Kreibich, H. 

    (2018): Rapid flood loss estimation driven by social media based inundation maps , (Geophysical Research Abstracts) , General Assembly European Geosciences Union (Vienna 2018).

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2017

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Kreibich, H., Müller, M., Schröter, K., Thieken, A. H. 

    (2017): New insights into flood warning reception and emergency response by affected parties. - Natural Hazards and Earth System Sciences (NHESS), 17, pp. 2075-2092.
    DOI: http://doi.org/10.5194/nhess-17-2075-2017

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  • Kreibich, H., Botto, A., Merz, B., Schröter, K. 

    (2017): Probabilistic, Multivariable Flood Loss Modeling on the Mesoscale with BT-FLEMO. - Risk analysis, 37, 4, pp. 774-787.
    DOI: http://doi.org/10.1111/risa.12650

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  • Kreibich, H., Di Baldassarre, G., Vorogushyn, S., Aerts, J. C. J. H., Apel, H., Aronica, G. T., Arnbjerg-Nielsen, K., Bouwer, L. M., Bubeck, P., Caloiero, T., Do, T. C., Cortès, M., Gain, A. K., Giampá, V., Kuhlicke, C., Kundzewicz, Z. W., Llasat, M. C., Mård, J., Matczak, P., Mazzoleni, M., Molinari, D., Nguyen, D., Petrucci, O., Schröter, K., Slager, K., Thieken, A. H., Ward, P. J., Merz, B. 

    (2017): Adaptation to flood risk - results of international paired flood event studies. - Earth's Future, 5, 10, pp. 953-965.
    DOI: http://doi.org/10.1002/2017EF000606

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  • Nied, M., Schröter, K., Lüdtke, S., Nguyen, D., Merz, B. 

    (2017): What are the hydro-meteorological controls on flood characteristics?. - Journal of Hydrology, 545, pp. 310-326.
    DOI: http://doi.org/10.1016/j.jhydrol.2016.12.003

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• Buchkapitel

  • Kreibich, H., Thieken, A., Haubrock, S., Schröter, K. 

    (2017): HOWAS21, the German Flood Damage Database. - In: Molinari, D., Menoni, S., Ballio, F.(Eds.), Flood Damage Survey and Assessment : New Insights from Research and Practice, Wiley, pp. 65-75.
    DOI: http://doi.org/10.1002/9781119217930.ch5

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• Datenpublikation

  • Schröter, K., Redweik, R., Lüdtke, S., Meier, J., Bochow, M., Kreibich, H., Ross, L., Nagel, C. 

    (2017): 3D-city Flood Damage Module prototype implementation., GFZ Data Services : Potsdam
    DOI: http://doi.org/10.5880/GFZ.5.4.2017.001

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  • Schröter, K., Rivas Lopez, M. d. R., Nguyen, D., Wortmann, M., Liersch, S., Hardwick, S., Hattermann, F. 

    (2017): Flood inundation depth maps Danube catchment., GFZ Data Services : Potsdam
    DOI: http://doi.org/10.5880/GFZ.5.4.2017.003

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  • Schröter, K., Rivas Lopez, M. d. R., Nguyen, D., Wortmann, M., Liersch, S., Hardwick, S., Hattermann, F. 

    (2017): Residential flood loss maps Danube catchment., GFZ Data Services : Potsdam
    DOI: http://doi.org/10.5880/GFZ.5.4.2017.004

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• Konferenzbeitrag

  • Figueiredo, R., Schröter, K., Kreibich, H., Martina, M. 

    (2017): A framework for the selection and ensemble development of flood vulnerability models, (Geophysical Research Abstracts Vol. 19, EGU2017-14862) , General Assembly European Geosciences Union (Vienna 2017).

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  • Metin, A. D., Apel, H., Nguyen, D., Guse, B., Kreibich, H., Schröter, K., Vorogushyn, S., Merz, B. 

    (2017): Effects of changes along the risk chain on flood risk, (Geophysical Research Abstracts, Vol. 19, EGU2017-8711) , General Assembly European Geosciences Union (Vienna, Austria 2017).

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  • Schröter, K., Wortmann, M., Rivas Lopez, M. d. R., Liersch, S., Nguyen, D., Hardwick, S., Hattermann, F. 

    (2017): Flood Risk in the Danube basin under climate change, (Geophysical Research Abstracts Vol. 19, EGU2017-14845) , General Assembly European Geosciences Union (Vienna 2017).

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  • Schröter, K., Ridder, N., da Costa, R. T., Diederen, D., Viglione, A. 

    (2017): 'System-Risk' Flood Task Force, (Geophysical Research Abstracts Vol. 19, EGU2017-7997-1) , General Assembly European Geosciences Union (Vienna 2017).

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  • Schröter, K., Lüdtke, S., Vogel, K., Kreibich, H., Thieken, A., Merz, B. 

    (2017): Flood loss model transfer: on the value of additional data, (Geophysical Research Abstracts, Vol. 19, EGU2017-7875) , General Assembly European Geosciences Union (Vienna, Austria).

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  • Vorogushyn, S., Apel, H., Nguyen, D., Guse, B., Kreibich, H., Lüdtke, S., Schröter, K., Merz, B. 

    (2017): The role of interactions along the flood process chain and implications for risk assessment, (Geophysical Research Abstracts, Vol. 19, EGU2017-9835) , General Assembly European Geosciences Union (Vienna, Austria 2017).

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2016

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Falter, D., Nguyen, D., Vorogushyn, S., Schröter, K., Hundecha, Y., Kreibich, H., Apel, H., Theisselmann, F., Merz, B. 

    (2016): Continuous, large-scale simulation model for flood risk assessments: proof-of-concept. - Journal of Flood Risk Management, 9, 1, pp. 3-21.
    DOI: http://doi.org/10.1111/jfr3.12105

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  • Gerl, T., Kreibich, H., Franco, G., Marechal, D., Schröter, K., Schumann, G. J. 

    (2016): A Review of Flood Loss Models as Basis for Harmonization and Benchmarking. - Plos One, 11, 7.
    DOI: http://doi.org/10.1371/journal.pone.0159791

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  • Klaus, S., Kreibich, H., Merz, B., Kuhlmann, B., Schröter, K. 

    (2016): Large-scale, seasonal flood risk analysis for agricultural crops in Germany. - Environmental Earth Sciences, 75, 1289.
    DOI: http://doi.org/10.1007/s12665-016-6096-1

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  • Kreibich, H., Schröter, K., Merz, B. 

    (2016): Up-scaling of multi-variable flood loss models from objects to land use units at the meso-scale. - Proceedings of the International Association of Hydrological Sciences, 373, pp. 179-182.
    DOI: http://doi.org/10.5194/piahs-373-179-2016

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  • Rözer, V., Müller, M., Bubeck, P., Kienzler, S., Thieken, A., Pech, I., Schröter, K., Buchholz, O., Kreibich, H. 

    (2016): Coping with Pluvial Floods by Private Households. - Water, 8, 7, 304.
    DOI: http://doi.org/10.3390/w8070304

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  • Thieken, A. H., Bessel, T., Kienzler, S., Kreibich, H., Müller, M., Pisi, S., Schröter, K. 

    (2016): The flood of June 2013 in Germany: how much do we know about its impacts?. - Natural Hazards and Earth System Sciences (NHESS), 16, pp. 1519-1540.
    DOI: http://doi.org/10.5194/nhess-16-1519-2016

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  • Thieken, A. H., Kienzler, S., Kreibich, H., Kuhlicke, C., Kunz, M., Mühr, B., Müller, M., Otto, A., Petrow, T., Pisi, S., Schröter, K. 

    (2016): Review of the flood risk management system in Germany after the major flood in 2013. - Ecology and Society, 21, 2, 51.
    DOI: http://doi.org/10.5751/ES-08547-210251

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• Konferenzbeitrag

  • Klaus, S., Kreibich, H., Kuhlmann, B., Merz, B., Schröter, K. 

    (2016): Germany wide seasonal flood risk analysis for agricultural crops, (Geophysical Research Abstracts, Vol. 18, EGU2016-8028, 2016 ) , General Assembly European Geosciences Union (Vienna, Austria 2016).

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  • Kreibich, H., Botto, A., Schröter, K., Merz, B. 

    (2016): Probabilistic, meso-scale flood loss modelling, (Geophysical Research Abstracts, Vol. 18, EGU2016-12957-1, 2016) , General Assembly European Geosciences Union (Vienna, Austria 2016).

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  • Merz, B., Apel, H., Nguyen, D., Falter, D., Hundecha, Y., Kreibich, H., Schröter, K., Vorogushyn, S., Lang, M., Klijn, F., Samuels, P. 

    (2016): Large-scale flood risk assessment using a coupled model chain, (E3S Web of Conferences ) , 3rd European Conference on Flood Risk Management (FLOODRISK 2016) (Lyon, France 2016).
    DOI: http://doi.org/10.1051/e3sconf/20160711005

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  • Schröter, K., Kreibich, H., Lüdtke, S., Vogel, K., Merz, B. 

    (2016): Opportunities of probabilistic flood loss models, (Geophysical Research Abstracts, Vol. 18, EGU2016-7982, 2016) , General Assembly European Geosciences Union (Vienna, Austria 2016).

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  • Schröter, K., Lüdtke, S., Vogel, K., Kreibich, H., Merz, B., Lang, M., Klijn, F., Samuels, P. 

    (2016): Tracing the value of data for flood loss modelling, (E3S Web of Conferences ) , 3rd European Conference on Flood Risk Management (FLOODRISK 2016) (Lyon, France 2016).
    DOI: http://doi.org/10.1051/e3sconf/20160705005

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  • Vogel, K., Schröter, K., Kreibich, H., Thieken, A., Müller, M., Sieg, T., Laudan, J., Kienzler, S., Weise, L., Merz, B., Scherbaum, F. 

    (2016): Capturing changes in flood risk with Bayesian approaches for flood damage assessment, (Geophysical Research Abstracts, Vol. 18, EGU2016-14714, 2016) , General Assembly European Geosciences Union (Vienna, Austria 2016).

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2015

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Falter, D., Schröter, K., Nguyen, D., Vorogushyn, S., Kreibich, H., Hundecha, Y., Apel, H., Merz, B. 

    (2015): Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain. - Journal of Hydrology, 524, pp. 182-193.
    DOI: http://doi.org/10.1016/j.jhydrol.2015.02.021

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  • Fohringer, J., Dransch, D., Kreibich, H., Schröter, K. 

    (2015): Social media as an information source for rapid flood inundation mapping. - Natural Hazards and Earth System Sciences (NHESS), 15, pp. 2725-2738.
    DOI: http://doi.org/10.5194/nhess-15-2725-2015

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  • Schröter, K., Kunz, M., Elmer, F., Mühr, B., Merz, B. 

    (2015): What made the June 2013 flood in Germany an exceptional event? A hydro-meteorological evaluation. - Hydrology and Earth System Sciences, 19, pp. 309-327.
    DOI: http://doi.org/10.5194/hess-19-309-2015

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• Buchkapitel

  • Schröter, K. 

    (2015): Das Hochwasserereignis im Juni 2013, 2.2. Hydrologie. - In: Deutsches Komitee für Katastrophenvorsorge(Ed.), Das Hochwasser im Juni 2013: Bewährungsprobe für das Hochwasserrisikomanagement in Deuschland., (Schriftenreihe des DKKV ; 53), DKKV, pp. 23-31.

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  • Schröter, K., Hasan, I., Falter, D., Thieken, A. 

    (2015): Schutz und Entlastung von hochwassergefährdeten Gebieten. - In: Deutsches Komitee Katastrophenvorsorge e.V. (DKKV)(Ed.), Das Hochwasser im Juni 2013: Bewährungsprobe für das Hochwasserrisikomanagement in Deutschland, (Schriftenreihe des DKKV ; 53), DKKV, pp. 76-91.

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  • Thieken, A., Otto, A., Pisi, S., Petrow, T., Kreibich, H., Kuhlicke, C., Schröter, K., Kienzler, S., Müller, M. 

    (2015): Schlussfolgerungen und Empfehlungen. - In: Deutsches Komitee Katastrophenvorsorge e.V. (DKKV)(Ed.), Das Hochwasser im Juni 2013: Bewährungsprobe für das Hochwasserrisikomanagement in Deutschland, (Schriftenreihe des DKKV ; 53), DKKV, pp. 184-196.

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• Konferenzbeitrag

  • Falter, D., Schröter, K., Nguyen, D., Vorogushyn, S., Kreibich, H., Hundecha, Y., Apel, H., Merz, B. 

    (2015): Assessing flood risk based on long-term continuous simulation with a coupled model chain., (Geophysical Research Abstracts, Vol. 17, EGU2015-15263, 2015) , General Assembly European Geosciences Union (Vienna, Austria 2015).

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  • Gerl, T. M., Kreibich, H., Franco, G., Marechal, D., Schröter, K. 

    (2015): Flood damage modelling: ambition and reality, (Geophysical Research Abstracts, Vol. 17, EGU2015-15072, 2015) , General Assembly European Geosciences Union (Vienna, Austria 2015).

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  • Kreibich, H., Schröter, K. 

    (2015): Probabilistic, multi-variate flood damage modelling using random forests and Bayesian networks, (Geophysical Research Abstracts, Vol. 17, EGU2015-15073, 2015) , General Assembly European Geosciences Union (Vienna, Austria 2015).

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  • Merz, B., Vorogushyn, S., Nguyen, D., Schröter, K. 

    (2015): Space-time variability of floods across Germany: Gradual trends, step changes and fluctuations., (Geophysical Research Abstracts, Vol. 17, EGU2015-7205, 2015) , General Assembly European Geosciences Union (Vienna, Austria 2015).

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  • Schröter, K., Lüdtke, S., Kreibich, H., Merz, B. 

    (2015): The flood event explorer – a web based framework for rapid flood event analysis, (Geophysical Research Abstracts, Vol. 17, EGU2015-1789-1, 2015) , General Assembly European Geosciences Union (Vienna, Austria 2015).

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  • Schröter, K., Kreibich, H., Vogel, K., Merz, B. 

    (2015): Confronting uncertainty in flood damage predictions, (Geophysical Research Abstracts, Vol. 17, EGU2015-7220, 2015) , General Assembly European Geosciences Union (Vienna, Austria 2015).

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2014

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Kreibich, H., Bubeck, P., Kunz, M., Mahlke, H., Parolai, S., Khazai, B., Daniell, J., Lakes, T., Schröter, K. 

    (2014): A review of multiple natural hazards and risks in Germany. - Natural Hazards, 74, 3, pp. 2279-2304.
    DOI: http://doi.org/10.1007/s11069-014-1265-6

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  • Merz, B., Elmer, F., Kunz, M., Mühr, B., Schröter, K., Uhlemann-Elmer, S. 

    (2014): The extreme flood in June 2013 in Germany. - Houille Blanche - Revue internationale de l'eau, 1, pp. 5-10.
    DOI: http://doi.org/10.1051/lhb/2014001

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  • Schröter, K., Kreibich, H., Vogel, K., Riggelsen, C., Scherbaum, F., Merz, B. 

    (2014): How useful are complex flood damage models?. - Water Resources Research, 50, 4, pp. 3378-3395.
    DOI: http://doi.org/10.1002/2013WR014396

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• Buchkapitel

  • Vogel, K., Riggelsen, C., Scherbaum, F., Schröter, K., Kreibich, H., Merz, B. 

    (2014): Challenges for Bayesian Network Learning in a Flood Damage Assessment Application. - In: Deodatis, G., Ellingwood, B. R., Frangopol, Dan M, D. M.(Eds.), Safety, reliability, risk and life-cycle performance of structures and infrastructures : proceedings of the 11th International Conference on Structural Safety and Reliability, New York, USA, 16-20 June 2013, (A Balkema Book), CRC Press, pp. 3123-3130.

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• Konferenzbeitrag

  • Schröter, K., Falter, D., Nguyen, D., Kreibich, H., Vorogushyn, S., Hundecha, Y., Apel, H., Merz, B. 

    (2014): Is probability of peak discharge a suitable proxy for probability of damage in flood risk analysis?, (Abstracts) , International Conference Analysis and Management of Changing Risks for Natural Hazards (Padua/Italy 2014).

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2013

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Conradt, T., Roers, M., Schröter, K., Elmer, F., Hoffmann, P., Koch, H., Hattermann, F. F., Wechsung, F. 

    (2013): Vergleich der Extremhochwässer 2002 und 2013 im deutschen Teil des Elbegebiets und deren Abflusssimulation durch SWIM-live. - Hydrologie und Wasserbewirtschaftung, 57, 5, pp. 241-245.
    DOI: http://doi.org/10.5675/HyWa_2013,5_4

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  • Kunz, M., Mühr, B., Kunz-Plapp, T., Daniell, J. E., Khazai, B., Wenzel, F., Vannieuwenhuyse, M., Comes, T., Elmer, F., Schröter, K., Fohringer, J., Münzberg, T., Lucas, C., Zschau, J. 

    (2013): Investigation of superstorm Sandy 2012 in a multi-disciplinary approach. - Natural Hazards and Earth System Sciences (NHESS), 13, 10, pp. 2579-2598.
    DOI: http://doi.org/10.5194/nhess-13-2579-2013

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• Buchkapitel

  • Schröter, K., Kreibich, H., Zwenzner, H., Merz, B. 

    (2013): Schnelle Hochwasserereignisanalyse in Deutschland. - In: , Wasserbaukolloquium 2013 : Technischer und organisatorischer Hochwasserschutz - Bauwerke, Anforderungen, Modelle, (Dresdner Wasserbauliche Mitteilungen ; Heft 48), pp. 1-11.

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• Konferenzbeitrag

  • Kreibich, H., Schröter, K., Bubeck, P., Parolai, S., Khazai, B., Daniell, J., Kunz, M., Mahlke, H., Lakes, T. 

    (2013): A review of multiple natural hazard risks in Germany, (Geophysical Research Abstracts Vol. 15, EGU2013-6940, 2013) , General Assembly European Geosciences Union (Vienna, Austria 2013).

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  • Kunz, M., Mühr, B., Schröter, K., Kunz-Plapp, T., Daniell, J., Khazai, B., Wenzel, F., Vannieuwenhuyse, M., Gomes, T., Münzberg, T., Elmer, F., Fohringer, J., Lucas, C., Trieselmann, W., Zschau, J. 

    (2013): Near-real-time Forensic Disaster Analysis: experiences from hurricane Sandy, (Geophysical Research Abstracts, Vol. 15, EGU2013-9183) , General Assembly European Geosciences Union (Vienna, Austria 2013).

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  • Schröter, K., Kreibich, H., Vogel, K., Riggelsen, C., Scherbaum, F., Merz, B. 

    (2013): Comparing flood loss models of different complexity, (Geophysical Research Abstracts, Vol. 15, EGU2013-8768) , General Assembly European Geosciences Union (Vienna, Austria 2013).

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  • Schröter, K., Kreibich, H., Merz, B. 

    (2013): Rapid flood loss estimation for large scale floods in Germany, (Geophysical Research Abstracts Vol. 15, EGU2013-8798, 2013) , General Assembly European Geosciences Union (Vienna, Austria 2013).

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2011

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Schröter, K., Llort, X., Velasco-Forero, C., Ostrowski, M., Sempere-Torres, D. 

    (2011): Implications of radar rainfall estimates uncertainty on distributed hydrological model predictions. - Atmospheric Research, 100, 2, pp. 237-245.
    DOI: http://doi.org/10.1016/j.atmosres.2010.08.014

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2010

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Zappa, M., Beven, K. J., Bruen, M., Cofino, A. S., Kok, K., Martin, E., Nurmi, P., Orfila, B., Roulin, E., Schröter, K., Seed, A., Szturc, J., Vehviläinen, B., Germann, U., Rossa, A. 

    (2010): Propagation of uncertainty from observing systems and NWP into hydrological models: COST-731 Working Group 2. - Atmospheric Science Letters, 11, 2, pp. 83-91.
    DOI: http://doi.org/10.1002/asl.248

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2008

• Zeitschriftenartikel (SCI/Scopus Zeitschriften)

  • Muschalla, D., Schneider, S., Schröter, K., Gamerith, V., Gruber, G. 

    (2008): Sewer modelling based on highly distributed calibration data sets and multi-objective auto-calibration schemes. - Water Science and Technology, 57, 10, pp. 1547-1554.
    DOI: http://doi.org/10.2166/wst.2008.305

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