Peer-reviewed Articles and Book Chapters


Florath, J., Chanussot, J., Keller, S. (2024): Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas. Fire, 7, 6, doi:10.3390/fire7010006.

Michel, C., Keller, S. (2024): Assessing Important Uncertainty Influences of Ground-Based Radar for Bridge Monitoring. IEEE Geosci. Remote. Sens. Lett., 21, 1–5, doi:10.1109/LGRS.2023.3343076.


Boehnke, D., Jehling, M., Vogt, J. (2023): What hinders climate adaptation? Approaching barriers in municipal land use planning through participant observation, Land Use Policy, 132, 106786, doi:10.1016/j.landusepol.2023.106786.

Claassen, J.N., Ward, P.J., Daniell, J., Koks, E. E., Tiggeloven, T., de Ruiter, M C. (2023): A new method to compile global multi-hazard event sets. Sci. Rep., 13, 13808, doi:10.1038/s41598-023-40400-5.

Dahl, J.M.L., Fischer, J. (2023): On the Origins of Vorticity in a Simulated Tornado-Like Vortex. J. Atmos. Sci., 80, 1361–1380, doi:10.1175/JAS-D-22-0145.1.

Fischer, J., Dahl, J.M.L. (2023): Supercell-external storms and boundaries acting as catalysts for tornadogenesis. Mon. Weather Rev., 151, 23-38, doi:10.1175/MWR-D-22-0026.1.

Fischer, J., Flournoy, M. D., Lyza, A. W. (2023): Comments on “A Climatology of Cell Mergers with Supercells and Their Association with Mesocyclone Evolution” and “The Influence of Cell Mergers on Supercell Characteristics and Tornado Evolution on 27–28 April 2011”, Mon. Wea. Rev., 151, 2541–2545, doi:10.1175/MWR-D-23-0120.1.

Giordani, A., Kunz, M., Bedka, K. M., Punge, H. J., Paccagnella, T., Pavan, V., Cerenzia, I. M. L., Di Sabatino, S. (2023): Characterizing hail-prone environments using convection-permitting reanalysis and overshooting top detections over south-central Europe, EGUsphere [preprint], doi:10.5194/egusphere-2023-2639.

Ludwig, P., Ehmele, F., Franca, M. J., Mohr, S., Caldas-Alvarez, A., Daniell, J. E., Ehret, U., Feldmann, H., Hundhausen, M., Knippertz, P., Küpfer, K., Kunz, M., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Seidel, F., Wisotzky, C. (2023): A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 2: Historical context and relation to climate change, Nat. Hazards Earth Syst. Sci., 23, 1287–1311, doi:10.5194/nhess-23-1287-2023.

Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., Wisotzky, C. (2023): A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci., 23, 525–551, 10.5194/nhess-23-525-2023.

Ottenburger, S. S., Ufer, U. (2023): Smart cities at risk: Systemic risk drivers in the blind spot of long-term governance. Risk Analysis, 43, 2158–2168, doi:10.1111/risa.14102.

Punge, H. J., Bedka, K. M., Kunz, M., Bang, S. D., Itterly, K. F. (2023): Characteristics of hail hazard in South Africa based on satellite detection of convective storms, Nat. Hazards Earth Syst. Sci., 23, 1549–1576, doi:10.5194/nhess-23-1549-2023.

Schwarz, S., Werner, C., Fassnacht, F.E., Ruehr, N.K. (2023): Forest canopy mortality during the 2018–2020 summer drought years in Central Europe: The application of a deep learning approach on aerial images across Luxembourg. Forestry: An International Journal of Forest Research, cpad049, doi:10.1093/forestry/cpad049.

Tonn, M., Wilhelm, J., Kunz, M. (2023): Evaluating Bunkers' storm motion of hail-producing supercells and their storm-relative helicity in Germany. Meteor. Z., 32, 229–243, doi:10.1127/metz/2023/1165.

Wilhelm, J., Wapler, K., Blahak, U., Potthast, R., Kunz, M. (2023): Statistical relevance of meteorological ambient conditions and cell attributes for nowcasting the life cycle of convective storms. Q. J. R. Meteorol. Soc., 149, 2252–2280, doi:10.1002/qj.4505.

Xoplaki, E., Ellsäßer, F., Grieger, J., Nissen, K. M., Pinto, J., Augenstein, M., Chen, T.-C., Feldmann, H., Friederichs, P., Gliksman, D., Goulier, L., Haustein, K., Heinke, J., Jach, L., Knutzen, F., Kollet, S., Luterbacher, J., Luther, N., Mohr, S., Mudersbach, C., Müller, C., Rousi, E., Simon, F., Suarez-Gutierrez, L., Szemkus, S., Vallejo-Bernal, S. M., Vlachopoulos, O., Wolf, F. (2023): Compound events in Germany in 2018: drivers and case studies, EGUsphere [preprint], doi:10.5194/egusphere-2023-1460.


de Bruijn, J. A., Daniell, J. E., Pomonis, A., Gunasekera, R., Macabuag, J., de Ruiter, M. C., Koopman, S. J., Bloemendaal, N., de Moel, H., Aerts, J. C. J. H. (2022): Using rapid damage observations for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian using social media, Int. J. Disaster Risk Reduct. 102839, doi:10.1016/j.ijdrr.2022.102839.

Caldas-Alvarez, A., Augenstein, M., Ayzel, G., Barfus, K., Cherian, R., Dillenardt, L., Fauer, F., Feldmann, H., Heistermann, M., Karwat, A., Kaspar, F., Kreibich, H., Lucio-Eceiza, E. E., Meredith, E. P., Mohr, S., Niermann, D., Pfahl, S., Ruff, F., Rust, H. W., Schoppa, L., Schwitalla, T., Steidl, S., Thieken, A. H., Tradowsky, J. S., Wulfmeyer, V., Quaas, J. (2022): Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area, Nat. Hazards Earth Syst. Sci., 22, 3701–3724,  doi:10.5194/nhess-22-3701-2022.

Diehlmann, F.; Klein, M.; Wiens, M.; Lüttenberg, M.; Schultmann, F. (2022): On the effects of authorities’ disaster interventions in Public-Private Emergency Collaborations. International Journal of Disaster Risk Reduction, 79, 103140. doi:10.1016/j.ijdrr.2022.103140.

Florath, J., Keller, S. (2022): Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area. Remote Sens. 2022, 14, 657. doi:10.3390/rs14030657.

Kaiser, F. K.; Wiens, M.; Schultmann, F. (2022): Weighted attack graphs and behavioral cyber game theory for cyber risk quantification. Advances in Cyber Security and Intelligent Analytics. Ed.: A. Verma, 27–42, CRC Press-Taylor & Francis Group.

Kaiser, F. K.; Andris, L.; Tenning, T.; Iser, J.; Wiens, M.; Schultmann, F. (2022): Cyber threat intelligence enabled automated attack incident response. 2022 3rd International Conference on Next Generation Computing Applications (NextComp), IEEE, 1–6, Institute of Electrical and Electronics Engineers (IEEE), doi:10.1109/NextComp55567.2022.9932254.

Klein, M., Schulte, Y., Wiens, M., Fiedrich, F., Schultmann, F. (2022): La coopération transfrontalière dans le domaine de la protection civile: la construction d'outils méthodologiques. In: Défis linguistiques et culturels pour la gestion des risques dans l’espace rhénan et ailleurs. Peter Lang.

Kunz, M., Abbas S.S., Bauckholt, M., Böhmländer, A., Feuerle, T., Gasch, P., Glaser, C., Groß, J., Hajnsek, I., Handwerker, J., Hase, F., Khordakova, D., Knippertz, P., Kohler, M., Lange, D., Latt, M., Laube, J., Martin, L., Mauder, M., Möhler, O., Mohr, S., Reitter, R.W., Rettenmeier, A., Rolf, C., Saathoff, H., Schrön, M., Schütze, C., Spahr, S., Späth, F., Vogel, F., Völksch, I., Weber, U., Wieser, A., Wilhelm, J., Zhang, H., Dietrich, P. (2022): Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains. Front. Earth Sci., 10:999593. doi:10.3389/feart.2022.999593.

Kunz, M., Kottmeier, C., Lähne, W., Bertram, I., Ehmann, C. (2022): The Karlsruhe temperature time series since 1779. Meteor. Z., 31, 175–202, doi:10.1127/metz/2022/1106.

Lüttenberg, M.; Schwärzel, A.; Klein, M.; Diehlmann, F.; Wiens, M.; Schultmann, F. (2022): The attitude of the population towards company engagement in Public–Private Emergency Collaborations and its risk perception — A survey. International Journal of Disaster Risk Reduction, 82, 103370, doi:10.1016/j.ijdrr.2022.103370.

Michel, C., Keller, S. (2022): Determining and investigating the variability of bridges’ natural frequencies with ground-based radar. Appl. Sci., 12, 5354. doi:10.3390/app12115354.

Ottenburger, S.S., Möhrle, S., Müller, T.O., Raskob, W. (2022): A Novel MCDA-based methodology dealing with dynamics and ambiguities resulting from citizen participation in the context of the energy transition. Algorithms, 15, 47, doi:10.3390/a15020047.

Ward, P. J., Daniell, J., Duncan, M., Dunne, A., Hananel, C., Hochrainer-Stigler, S., Tijssen, A., Torresan, S., Ciurean, R., Gill, J., Sillmann, J., Couasnon, A., Koks, E., Padrón-Fumero, N., Tatman, S., Tronstad Lund, M., Adesiyun, A., Aerts, J., Alabaster, A., Butler, B., Campillo Torres, C., Critto, A., Hernández Martin, R., Machado, M., Mysiak, J., Orth, R., Palomino, I., Petrescu, E.-C., Reichstein, M., Tiggeloven, T., van Loon, A., Vuong Pham, H., de Ruiter, M. (2022): Invited perspectives: A research agenda towards Disaster Risk Management pathways in multi-risk assessment, Nat. Hazards Earth Syst. Sci., 22, 1487–1497, doi:10.5194/nhess-22-1487-2022.

Wehrle, R., Wiens, M., Schultmann, F. (2022): Application of collaborative serious gaming for the elicitation of expert knowledge and towards creating Situation Awareness in the field of infrastructure resilience. International Journal of Disaster Risk Reduction (67), 102665. doi:10.1016/j.ijdrr.2021.102665.


Diehlmann, F., Hiemsch, P. S., Wiens, M., Lüttenberg, M., Schultmann, F. (2021): Including decision-makers preferences in the cost-deprivation trade-off during disaster interventions. Journal of Engineering, Design and Technology. doi:10.1108/JEDT-02-2021-0100.

Diehlmann, F., Lüttenberg, M., Verdonck, L., Wiens, M., Zienau, A., Schultmann, F. (2021): Public-private collaborations in emergency logistics: A framework based on logistical and game-theoretical concepts. Safety Science, 141, 105301, doi:10.1016/j.ssci.2021.105301.

Fluck, E., Kunz, M., Geissbuehler, P., Ritz, S. P. (2021): Radar-based assessment of hail frequency in Europe, Nat. Hazards Earth Syst. Sci., 21, 683–701, doi:10.5194/nhess-21-683-2021.

Guth, J., Keller, S., Hinz, S., Winter S. (2021): Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases. J. Spat. Inf. Sci., doi:10.5311/JOSIS.2021.22.677.

Kaiser, F., Budig, T., Goebel, E., Fischer, T., Muff, J., Wiens, M., Schultmann, F. (2021): Attack Forecast and Prediction. 16. Automation in Cybersecurity (C&ESAR 2021), Rennes, France, 16.–17. November 2021, doi:10.5445/IR/1000142504.

Kaiser, F. K., Wiens, M., Schultmann, F. (2021): Use of digital healthcare solutions for care delivery during a pandemic-chances and (cyber) risks referring to the example of the COVID-19 pandemic. Health and Technology. doi:10.1007/s12553-021-00541-x.

Kropp, C., Ley, A., Ottenburger, S. S., Ufer, U. (2021): Climate-neutral and intelligent cities in Europe. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 30, 10-55, doi:10.14512/tatup.30.1.10.

Kropp, C., Ley, A., Ottenburger, S. S., Ufer, U. (2021): Making intelligent cities in Europe climate-neutral. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 30,11-16, doi:10.14512/tatup.30.1.11.

Michel, C., Keller, S. (2021): Advancing ground-based radar processing for bridge infrastructure monitoring. Sensors, 21, 2172, doi:10.3390/s21062172.

Möhrle, S., Ottenbuirger, S., Müller, T. O., Trybushnyi, D., Deines, E., Raskob, W. (2021): Strengthening Resilience in Critical Infrastructure Systems: A Deep Learning Approach for Smart Early Warning of Critical States. Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). Hrsg.: B. Castanier, doi:10.3850/978-981-18-2016-8_239-cd.

Nadal-Sala, D., Grote, R., Birami, B., Knüver, T., Rehschuh, R., Schwarz, S., Ruehr, N. K. (2021): Leaf shedding and non-stomatal limitations of photosynthesis mitigate hydraulic conductance losses in Scots pine saplings during severe drought stress. Front. Plant Sci., doi:10.3389/fpls.2021.715127.

Raupach, T. H., Martius O., Allen, J. T., Kunz, M., Lasher-Trapp, S., Mohr, S., Rasmussen, K.L., Trapp, R. J., Zhang, Q. (2021): The effects of climate change on hailstorms, Nature Rev.Earth Environ., 2, 213–226, doi:10.1038/s43017-020-00133-9. 

Schäfer, A., (2021): Corona – auch eine Pandemie der Zahlen, Mitteilungen der Deutschen Mathematiker-Vereinigung, 29(4), 184-185, doi:10.1515/dmvm-2021-0072.

Steinbrück, A., Wiens, M., Birnstill, P., Kaiser, F., Zander, T., Raabe, O., Schultmann, F., Volkamer, M. (2021): Ein neues "Datenkartellrecht" zum Schutz der informationellen Selbstbestimmung im Markt der sozialen Plattformen?. Recht der Datenverarbeitung, 37 (1), 7–13.

Ufer, U., Ottenburger, S.S. (2021): Urban Resilience Thinking. Dealing with Epistemic Uncertainty in Smart City Development, Proceedings of the REAL CORP 2021 – 26th International Conference on Urban Planning, Regional Development, and Information Society, Wien, A, 07.-10.09.2021. Ed.: M. Schrenk.

Xin, D., Daniell, J. E., Tsang, H.-H., and Wenzel, F. (2021): Residential building stock modeling for mainland China targeted for seismic risk assessment, Nat. Hazards Earth Syst. Sci., 21, 3031–3056, doi:10.5194/nhess-21-3031-2021.

Wilhelm, J., Mohr, S., Punge, H. J., Mühr, B., Schmidberger, M., Daniell, J. E., Bedka, K. M., Kunz, M. (2021): Severe thunderstorms with large hail across Germany in June 2019. Weather, 76, 228237, doi:10.1002/wea.3886.


Allen, J. T., Giammanco, I. M., Kumjian, M. R., Punge, H. J., Zhang, Q., Groenemeijer, P., Kunz, M., Ortega, K. (2020): Understanding hail in the earth system, Rev. Geophys., 58, e2019RG000665, doi:10.1029/2019RG000665.

Arnold, M., Keller, S. (2020): Detection and classification of bridge crossing events with ground-based interferometric radar data and machine learning approaches, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 109–116, doi:10.5194/isprs-annals-V-1-2020-109-2020.

Braun, A. C., Weinmann, M., Wursthorn, S., Keller, S., Schenk, S., Jutzi, B., Hinz, S. (2020): Remote sensing and computer vision image analysis: Summary and recent trends. In: Hinz, S., Braun, A. C., Weinmann, M. (Eds.): Object and pattern recognition in remote sensing – Modelling and monitoring enviromental and anthropogenic objects and change processes. Whittles-Publishing,  Dunbeath/Scotland, 391–403.

Gast, J., Wehrle, R., Wiens, M., Schultmann, F. (2020): Impact of notification time on risk mitigation in inland waterway transport. Proceedings of the Hamburg International Conference of Logistics (HICL). 29, 247–278, doi:10.15480/882.3115.

Guth, J., Wursthorn, S., Keller, S. (2020): Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS Int. J. Geo-Inf., 9, 55, doi:10.3390/ijgi9010055.

Kaiser, F., Wiens, M., Schultmann, F. (2020): Comparing the Perception of Privacy for Medical Devices and Devices With Medical Functionality. International Journal of Privacy and Health Information Management, 8 (1), 52–69. doi:10.4018/IJPHIM.2020010103.

Keller, S., Gabriel, R., Guth, J. (2020): Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data. ISPRS Int. J. Geo-Inf., 9, 638, doi:10.3390/ijgi9110638.

Keller, S., Michel, C., Schneider, O., Müller, J., Döring, A., Hoyer, M., Hinz, S., Keller, B. H. (2020): Überwachung von Brückeninfrastrukturen: Neuer Ansatz von konventionellen und berührungslosen Sensoren, Brückenbau, 3, 22–29.

Kubisch, S., Guth, J., Keller, S., Bull, M.T., Keller, L., Braun, A. Ch. (2020): The contribution of tsunami evacuation analysis to evacuation planning in Chile: Applying a multi-perspective research design. Int. J. Disast. Risk Re., 101462, doi:10.1016/j.ijdrr.2019.101462.

Kunz, M., Wandel, J., Fluck, E., Baumstark, S., Mohr, S., Schemm, S. (2020): Ambient conditions prevailing during hail events in central Europe, Nat. Hazards Earth Syst. Sci. Discuss., 20, 1867-–1887, doi:10.5194/nhess-20-1867-2020.

Mahdavian, F., Wiens, M., Platt, S., Schultmann, F. (2020): Risk behaviour and people’s attitude towards public authorities – a survey of 2007 UK and 2013 German floods. Int. J. Disast. Risk Re., 29, 101685, doi:10.1016/j.ijdrr.2020.101685.

Mahdavian, F., Platt, S., Wiens, M., Klein, M., Schultmann, F. (2020): Communication blackouts in power outages: Findings from scenario exercises in Germany and France. Int. J. Disast. Risk Re., 46, 101628, doi:10.1016/j.ijdrr.2020.101628.

Merz, B., C. Kuhlicke, M. Kunz, M. Pittore, A. Babeyko, D. Bresch, D. Domeisen, F. Feser, I. Koszalka, H. Kreibich, F. Pantillon,  S. Parolai, J. Pinto, H. J. Punge, E. Rivalta, K. Schröter, K. Strehlow, R. Weisse and A. Wurpts (2020): Impact forecasting to support emergency management of natural hazards. Rev. Geophys, 58, e2020RG000704. doi:10.1029/2020RG000704.

Mohr, S., Wilhelm, J., Wandel, J., Kunz, M., Portmann, R., Punge, H. J., Schmidberger, M. und Grams, C. (2020): The role of large-scale dynamics in an exceptional sequence of severe thunderstorms in Europe May/June 2018. Weather Clim. Dynam., 1, 325–348, doi:10.5194/wcd-1-325-2020.

Ottenburger, S. S., Bai, S., Raskob, W. (2020):  MCDA-based Genetic Algorithms for Developing Disaster Resilient Designs of Critical Supply Networks, 6th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM 2019), Paris, Frankreich, 18.12.2019 – 20.12.2019, doi:10.1109/ICT-DM47966.2019.9032982.

Ottenburger, S. S., Çakmak, H. K., Jakob, W., Blattmann, A., Trybushnyi, D., Raskob, W., Kühnapfel, U., Hagenmeyer, V. (2020): A novel optimization method for urban resilient and fair power distribution preventing critical network states. Int. J. Crit. Infr. Prot., 29, 100354, doi:10.1016/j.ijcip.2020.100354.

Platt, S., Mahdavian, F., Carpenter, O., Wiens, M., Schultmann, F. (2020): Were the floods in the UK 2007 and Germany 2013 game-changers? Philos. T. R. Soc. A., 378, doi:10.1098/rsta.2019.0372.

Raskob, W., Dechy, N., Donovan, A., Gallego, E., Nanba, K., Romão, X., Tanzi, C.P., Wiens, M., Hernandez Ceballos, M.A., (2020): Fukushima Daichii accident. In: Casajus Valles, A. Marin Ferrer, M., Poljansek, K. and Clark, I., Science for Disaster Risk Management 2020: Acting today, protecting tomorrow, Publications Office of the European Union, Luxembourg, ISBN 978-92-76-18181-1, doi:10.2760/438998, JRC114026.

de Ruiter, M. C., Couasnon, A., van den Homberg, M. J. C., Daniell, J. E., Gill, J. C., Ward, P. J. (2020): Why we can no longer ignore consecutive disasters. Earth’s Future, doi:10.1029/2019EF001425.

de Ruiter, M. C., de Bruijn, J. A., Englhardt, J., Daniell, J. E., de Moel, H., Ward, P. J. (2020): The Asynergies of Structural Disaster Risk Reduction Measures: Comparing Floods and Earthquakes. Earth’s Future, 9, e2020EF001531, doi:10.1029/2020EF001531.

Schuldt, B., Buras, A., Arend, M., Vitasse, Y., Beierkuhnlein, C., Damm, A., Gharun, M., Grams, T. E. E., Hauck, M., Hajek, P., Hartmann, H., Hilbrunner, E., Hoch, G., Holloway-Phillips, M., Körner, Ch., Larysch, E., Lübbe, T., Nelson, D. B., Rammig, A., Rigling, A., Rose, L., Ruehr, N. K., Schumann, K., Weiser, F., Werner, Ch., Wohlgemuth, Th., Zang, Ch. S., Kahmen, A. (2020): A  first  assessment  of  the  impact  of  the  extreme  2018  summer  drought  on  Central  European  forests, Basic Appl. Ecol., doi:10.1016/j.baae.2020.04.003.

Schulte, Y., Klein, M., Wiens, M., Fiedrich, F., Schultmann, F. (2020): Spontaneous Volunteers Across National Borders: An Agent-Based Comparison. Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2020, Blacksburg, Virginia, USA.

Stallkamp, C., Diehlmann, F., Lüttenberg, M., Wiens, M., Volk, R., Schultmann, F. (2020): On the Combination of Water Emergency Wells and Mobile Treatment Systems: A Case Study of Berlin. Ann. Oper. Res. doi:10.1007/s10479-020-03800-8.

Stötzer, J., Wursthorn, S., Keller, S. (2020): Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS Int. J. Geo-Inf. 2020, 9(1), 55, doi:10.3390/ijgi9010055.

Tsang, H.-H., Daniell, J. E., Wenzel, F., Wilson, J. L. (2020): A universal approach for evaluating earthquake safety level based on societal fatality risk. Bull. Earthq. Eng., 18, 273–296, doi:10.1007/s10518-019-00727-9.

Xin, D., Daniell, J. E., Wenzel, F. (2020): Review of fragility analyses for major building types in China with new implications for intensity–PGA relation development, Nat. Hazards Earth Syst. Sci., 20, 643–672, doi:10.5194/nhess-20-643-2020.

Ward, P. J., Blauhut, V., Bloemendaal, N., Daniell, J. E., de Ruiter, M. C., Duncan, M., Emberson, R., Jenkins, S. F., Kirschbaum, D., Kunz, M., Mohr, S., Muis, S., Riddell, G., Schäfer, A., Stanley, T., Veldkamp, T. I. E., and Winsemius, H. C. (2020): Review article: Natural hazard risk assessments at the global scale, Nat. Hazards Earth Syst. Sci., 20, 1069–1096, doi:10.5194/nhess-20-1069-2020.

Wehrle, R., Wiens, M., Schultmann, F., Akkermann, J., Bödefeld, J. (2020). Ebenensystem zur Resilienzbewertung kritischer Verkehrsinfrastrukturen am Beispiel der Wasserstraßen. Bautechnik, 395–403, doi:10.1002/bate.202000006.


Ehmele, F. and Kunz, M. (2019): Flood-Related Extreme Precipitation in Southwestern Germany: Development of a Two-Dimensionla Stochastic Precipitation Model. Hydrol. Earth. Syst. Sci., 23, 1083-1102, doi:10.5194/hess-23-1083-2019.

Gast, J. & Wehrle, R. (2019). Application of the Concept of Supply Chain Reliability for an Availability Assessment of Inland Waterway Systems. Proceedings of the 23rd Cambridge International Manufacturing Symposium, Cambridge.

Kubisch, S., Stötzer, J., Keller, S., Braun, A. (2019): Combining a social science approach and GIS-based simulation to analyse evacuation in natural disasters: A case study in the Chilean community of Talcahuano. Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019), Valencia, Spain.

Løvholt, F., et al. (2019): Global trends in advancing tsunami science for improved hazard and risk understanding. Contributing Paper to GAR 2019, United Nations Office for Disaster Risk Reduction (UNDRR), (Available from:

Johannemann, K.; Morasch, K. & Wiens, M. (2019): Verhalten sich Soldaten kooperativer? Ergebnisse einer experimentellen Studie mit studierenden Offizieren und zivilen Studierenden. Zeitschrift für innere Führung, 03/2019.

Meng, S., Wiens, M. & Schultmann, F. (2019). Adversarial risks in the lab – An experimental study of framing-effects in attacker-defender games. Safety Science, 120, 551–560, doi:10.1016/j.ssci.2019.08.004.

Mohr, S., Wandel, J., Lenggenhager, S., und Martius, O. (2019): Relationship between blocking and warm season thunderstorms in western and central Europe. Q. J. R. Meteor. Soc., 145(724), 3040–3056, doi:10.1002/qj.3603.

Ottenburger, S. S., Ufer, Ulrich (2019): Smart Space and Concrete Risks. 24th International Conference on Urban Planning and Regional Development in the Information Society (REAL CORP 2019), Karlsruhe, Germany.

Ottenburger, S. (2019): Stromversorgung und urbanes Kontinuitätsmanagement, Versorgungssicherheit 2.0 - Smarte Konzepte zur Erhöhung der Resilienz moderner Städte in Zeiten dezentraler Strombereitstellung, Transforming Cities, 2, 60-63.

Ottenburger, S., Ufer, U. (2019): Quartierspeicher für mehr urbane Resilienz. Ein Blick über den Tellerrand technischer Risiken bei der Energiewende, Transforming Cities, 2, 66-69.

Piper, D., Kunz, M., Allen, J. T., and Mohr, S. (2019): Investigation of the temporal variability of thunderstorms in Central and Western Europe and the relation to large-scale flow and teleconnection patterns. Q. J. R. Meteor. Soc., 145(725), 3644–3666, doi:10.1002/qj.3647.

Schäfer, A., Wenzel, F. (2019): Global Megathrust Earthquake Hazard—Maximum Magnitude Assessment Using Multi-Variate Machine Learning. Front. Earth Sci., doi:10.3389/feart.2019.00136.

Schätter, F.; Hansen, O.; Wiens, M. & Schultmann, F. (2019). A decision support methodology for a disaster-caused business continuity management, Decision Support Systems, 118, 10-20, doi:10.1016/j.dss.2018.12.006.

Stötzer, J., Wursthorn, S., Braun, A., Keller, S. (2019): Development of a generic concept to analyze the accessibility of emergency facilities in critical road infrastructure for disaster scenarios – Exemplary application for the 2017 wildfires in Chile and Portugal. Nat. Hazards. 97, 979–999, doi:10.1007/s11069-019-03672-7.

Stötzer, J., Wursthorn, S., Keller, S. (2019): Fuzzy Estimation of Link Travel Time from a Digital Elevation Model and Road Hierarchy Level. Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management – Volume: GISTAM, 15-25, 2019, Heraklion, Crete, Greece, doi:10.5220/0007655800150025.

Tsang, H.-H., Daniell, J. E., Wenzel, F., Werner, A. C. (2019): A semi-probabilistic procedure for developing societal risk function. Nat. Hazards, 92, 943–969, doi:10.1007/s11069-018-3233-z.

Wiens, M.; Diehlmann, F.; Lüttenberg, M.; Schultmann, F.; Michalk, K.; Gromitsaris, A.; Schulte, M.; Zienau, A.; Breitbarth, E. & Gross, W. (2019). Wenn das Wasser knapp wird. Protector / Ausgabe Deutschland, 47 (7-8), 40–41.


Adrot, A., Fiedrich, F., Lotter, A., Münzberg, T., Rigaud, E., Wiens, M., Raskob, W., and Schultmann, F. (2018): Challenges in Establishing Cross-Border Resilience. In: Urban Disaster Resilience and Security - Novel Approaches for Dealing with Risks in Societies, The Urban Book Series (Eds.: Fiedrich, F., Fekete, A.), Springer.

Bedka, K. M., Allen, J. T., Punge, H. J., Kunz, M., Simanovic, D., 2018: A long-term overshooting convective cloud top detection database over Australia derived from MTSAT Japanese Advanced Meteorological Imager Observations. J. Appl. Meteorl. Climatol., 57, 937–951, doi:10.1175/JAMC-D-17-0056.1.

Braun, A., Stötzer, J., Kubisch, S., and Keller, S. (2018): Critical Infrastructure Analysis (CRITIS) in Developing Regions – Designing an Approach to Analyse Peripheral Remoteness, Risks of Accessibility Loss, and Isolation due to Road Network Insufficiencies in Chile. Int. J. Geogr. Inf. Sci., 6, 302-321, doi:10.1553/giscience2018_02_s302.

Gunasekera, R., Daniell, J., Pomonis, A., Arias, R. A. D., Ishizawa, O., Stone, H. (2018): Methodology note on the global rapid post-disaster damage estimation (GRADE) approach. Global Facility for Disaster Reduction and Recovery (GFDRR), Washington, USA.

Kunz, M., Blahak, U., Handwerker, J., Schmidberger, M., Punge, H. J., Mohr, S., Fluck, E. and Bedka, K. M., 2017: The severe hailstorm in SW Germany on 28 July 2013: Characteristics, impacts, and meteorological conditions. Q. J. R. Meteor. Soc. 144, 231--250, doi:10.1002/qj.3197.

Kunz, M., Mohr, S. und Punge, H. J., (2018): Kapitel 6.2 – Schwere Hagelstürme in Deutschland und Europa. In: Lozán, J. L., S.-W. Breckle, D. Kasang (Hrsg.) Warnsignal Klima: Extremereignisse, S. 236–242, doi:10.2312/warnsignal.klima.extremereignisse.35.

Münzberg, T., Müller, T., and Raskob, W. (2018): A Future Oriented Agent-based Simulation to Improve Urban Critical Infrastructure Resilience, In: Urban Disaster Resilience and Security - Novel Approaches for Dealing with Risks in Societies, The Urban Book Series (Eds.: Fiedrich, F., Fekete, A.), Springer.

Münzberg, T., and Ottenburger, S. S., (2018): Schutz Kritischer Infrastrukturen: Kritikalität als Entscheidungsmaß zur Abwehr von Gefahr am Beispiel Stromausfall, In: Jens Ivo Engels/Alfred Nordmann (Eds.), „Was ist Kritikalität? Zu einem Schlüsselbegriff der Debatte um Kritische Infrastrukturen“ Was heißt Kritikalität? (179-214). Bielefeld: transcript Verlag.

Ottenburger, S. S., Münzberg, T., and Strittmatter, M. (2018): Smart Grid Topologies Paving the Way for an urban resilient Continuity Management. International Journal of Information Systems for Crisis Response and Management (IJISCRAM) – Special Issue: Crisis and Continuity Management, 9(4), 1-22. doi:10.4018/IJISCRAM.2017100101.

Richter A., Ruck, B., Mohr, S. & Kunz, M. (2017): Interaction of Severe Convective Gusts and Typical Urban Structures. Urban Climate, 23, 71-90, doi:10.1016/j.uclim.2016.11.003.

Schröter, K., Molinari, D., Kunz, M., and Kreibich, H., 2018: Preface: Natural hazard event analysis for risk reduction and adaptation. Nat. Hazards Earth Syst. Sci., 18, 963-968.

Wiens, M., Schätter, F., Zobel, C., Schultmann, F. (2018): Collaborative Emergency Supply Chains for Essential Goods and Services. In: Urban Disaster Resilience and Security - Novel Approaches for Dealing with Risks in Societies, The Urban Book Series (Eds.: Fiedrich, F., Fekete, A.), Springer.

Wiens, M., Raskob, W., Diehlmann, F., Wandler, S., Schultmann, F. (2018): Exposure and vulnerability of the energy system to internal and external effects. In: Energy as a Sociotechnical Problem (Eds.Ch. Büscher, J. Schippl, P. Sumpf), Routledge, doi:0.4324/9781315186313-5.

Xin, D., Daniell, J. E., and Wenzel, F. (2018): State of the art of fragility analysis for major building types in China with implications for intensity-PGA relationships, Nat. Hazards Earth Syst. Sci., doi:10.5194/nhess-2018-254.


Daniell, J.E., Schaefer, A.M., and Wenzel, F. (2017): Losses Associated with Secondary Effects in Earthquakes. Front. Built Environ., 3, 30, doi:10.3389/fbuil.2017.00030.

Daniell, J.E., Khazai, B., Wenzel, F. (2017): Indirect Loss Potential Index for Natural disasters for National and sub-national analysis. In: Risk Modeling for Hazards and Disasters (Eds. G. Michel), Elsevier Ltd., Amsterdamm, Netherlands.

Daniell, J.E., Wenzel, F., Schaefer, A.M. (2017): The use of historic loss data for insurance and total loss modelling. In: Risk Modeling for Hazards and Disasters (Eds. G. Michel), Elsevier Ltd., Amsterdamm, Netherlands.

Kunz, M., P. Geissbuehler (2017): Chapter 2.3 Severe Convective Storms. In: Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide (Eds.: K. Mitchell-Wallace, M. Jones,  J. Hiller, and M. Foote), John Wiley & Sons Ltd., Chicherster, UK, ISBN: 978-1-118-90604-0.

Kunz M., Mohr, S., Werner, P. (2017): Kapitel 7: Niederschlag. In: Klimawandel in Deutschland: Entwicklung, Folgen, Risiken und Perspektiven. (Eds.: G. Brasseur, D. Jacob, and S. Such-Zöller), Springer Spektrum, 57-66, doi:10.1007/978-3-662-50397-3_7

Leder, J.; Wenzel, F.; Daniell, J. E.; Gottschämmer, E. (2017): Loss of residential buildings in the event of a re-awakening of the Laacher See Volcano (Germany). Journal of volcanology and geothermal research, 337, 111–123, doi:10.1016/j.jvolgeores.2017.02.019

Mohr, S., Kunz, M., Richter, A., Ruck, B. (2017): Statistical characteristics of convective wind gusts in Germany, Nat. Hazards Earth Syst. Sci., 17, 957–969.

Münzberg, T.; Wiens, M.; Schultmann, F. (2017): A spatial-temporal vulnerability assessment to support the building of community resilience against power outage impacts. Technological Forecasting and Social Change, 121, 99-118. doi:10.1016/j.techfore.2016.11.027.

Murnane, R. J., Daniell, J. E., Schäfer, A. M., Ward, P. J., Winsemius, H., Simpson, A., Tijssen, A. and Toro, J. (2017): Future scenarios for earthquake and flood risk in Eastern Europe and Central Asia. Earth’s Future, 5, 693–714, doi:10.1002/2016EF000481

Newman J.P., Maier H.R., Riddell G.A., Zecchin A.C., Daniell J., Schaefer A., van Delden H., Khazai B., O'Flaherty M.J. and Newland C.P. (2017): Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions, Environmental Modelling and Software, 96, 378‐409, doi:10.1016/j.envsoft.2017.06.042.

Ottenburger, S., Airaksinen, M., Pinto-Seppä, I., Raskob, W. (2017): Enhancing Urban Resilience via a Real-Time Decision Support System for Smart Cities, Proceedings of the 23rd ICE/ITMC/IEEE Conference, doi:0.1109/ICE.2017.8279970.

Ottenburger, S., Münzberg, T. (2017): An approach for analyzing the impacts of smart grid topologies on critical infrastructure resilience. Proceedings of the 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017), Albi, France.

Ottenburger, S., Bai S. (2017): Simulation based strategic decision making in humanitarian supply chain management, Proceedings of the 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), doi:10.1109/ICT-DM.2017.8275683.

Piper, D., and M. Kunz (2017): Spatio-temporal variability of lightning activity in Europe and the relation to the North Atlantic Oscillation teleconnection pattern. Nat. Hazards Earth Syst. Sci., 17, 1319-1336, doi:10.5194/nhess-17-1319-2017.

Punge, H.J., K.M. Bedka, M. Kunz and A. Reinbold (2017): Hail frequency estimation across Europe based on a combination of overshooting top detections and the ERA-INTERIM reanalysis. Atmos. Res., 198, 34-43, doi:/10.1016/j.atmosres.2017.07.025.

de Ruiter, M. C., Ward, P. J., Daniell, J. E., and Aerts, J. C. J. H.: Review Article: A comparison of flood and earthquake vulnerability assessment indicators, Nat. Hazards Earth Syst. Sci., 17, 1231-1251, doi:10.5194/nhess-17-1231

Schäfer, A., Daniell, J. E., Wenzel, F. (2017): The smart cluster method: Adaptive earthquake cluster identification and analysis in strong seismic regions. J. Seismol., 21, 965–985, doi:10.1007/s10950-017-9646-4

Schäfer, A. M., Wenzel, F. (2017): TsuPy: Computational robustness in Tsunami hazard modelling. Computers & Geosciences, 102, 148-157.​


Breunig, M., Kuper, P. V., Butwilowski, E., Thomsen, A., Jahn, M., Dittrich, A., Al-Doori, M., Golovko, D. and Menninghaus, M., 2016: The story of DB4GeO – A service-based geo-database architecture to support multi-dimensional data analysis and visualization. ISPRS J. Photogramm. Remote Sens.,117, 187-205.

Daniell, J.E. (2016): The Evolving Risk of Earthquakes: Past, Present, and Future. In: The making of a riskier future: How our decisions are shaping future disaster risk (Eds. Fraser, S.), Global Facility for Disaster Reduction and Recovery (GFDRR), World Bank Press.

Falter, D., Dung, N.V., Vorogushyn, S., Schröter, 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. 9,3–21

Fleming, K., Parolai, S., Garcia-Aristizabal, A.,Tyagunov, S., Vorogushyn, S., Kreibich, H. and Mahlke, H., 2016: Harmonizing and comparing single-type natural hazard risk estimations. Ann. Geophys. 59, S0216.

Münzberg T., Wiens M., Schultman F. (2016): Understanding Resilience: A Spatio-temporal Vulnerability Assessment of a Population affected by Sudden Lack of Food. In: Advances in Managing Humanitarian Operations. Springer International Series in Operations Research & Management Science, 235, 257-280, doi:10.1007/978-3-319-24418-1.

Kunz-Plapp T., Hackenbruch J., Schipper J.W. (2016): Factors of Subjective Heat Stress of Urban Citizens in Contexts of Everyday Life. Nat. Hazards Earth Syst. Sci., 16, 977–994, doi:10.5194/nhess-16-977-2016

Piper D., Kunz, M., Ehmele, F., Mohr, S., Mühr, B., Kron, A., Daniell, J.E. (2016): Exceptional sequence of severe thunderstorms and related flash floods in May and June 2016 in Germany – Part 1: Meteorological background. Nat. Hazards Earth Syst. Sci. 16, 2835–2850, doi:10.5194/nhess-16-2835-2016

Punge H.J., Kunz M. Hail (2016): Observations and Hailstorm Characteristics in Europe: A review. Atmos Res., 176/177, 159–184, doi:10.1016/j.atmosres.2016.02.012

Puskeiler, M., Kunz M., Schmidberger M. (2016): Hail statistics over Germany derived from single-polarization Radar Data. Atmos. Res., 178/179, 459–470, doi:10.1016/j.atmosres.2016.04.014

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? Nat. Hazards Earth Syst. Sci., 16, 1519–1540; doi:10.5194/nhess-16-1519-2016

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 & Society 21: 51, doi:10.5751/ES-08547-210251

Tsang Hing-Ho, Wenzel F. (2016): Setting Structural Safety Requirement for Controlling Earthquake Mortality Risk. Safety Science, 86, 174-183.

Wagner Th., Goda K., Erdik M., Daniell J., Wenzel F. (2016): A Spatial Correlation Model of Peak Ground Acceleration and Response Spectra Based on Data of the Istanbul Earthquake Rapid Response and Early Warning System. Soil Dynamics and Earthquake Engineering, 85, 166–178.


Anhorn J. & Khazai B. (2015): Open Space Suitability Analysis for Emergency Shelter after an Earthquake. Nat. Hazards Earth Syst. Sci., 15, 789-803, doi:10.5194/nhess-15-789-2015

Brauner F., Münzberg T., Wiens M., Fiedrich F., Lechleuthner A., Schultmann F. (2015): Critical Infrastructure Resilience: A Framework for Considering Micro and Macro Observation Levels. Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, 24-27

Brink, S., Davidson, R. (2015): “Framework for Comprehensive Assessment of a City’s Natural Disaster Risk .” Earthquake Spectra, 31, 1931-1947.

Comes, T., Wijngaards, N., Schultmann, F. (2015): Exploring the future: Runtime scenario selection for complex and time-bound decisions, Technological Forecasting & Social Change. 97,029–43.

Daniell, J.E. (2015): Global View of Seismic Code and Building Practice Factors. In: Encyclopaedia of Earthquake Engineering (Eds. M. Beer, E. Patelli, I.  Kougioumtzoglou and I. Siu-Kui Au), Springer.

Dittrich A., Richter D., Lucas C., Gartner G. & Huang H. (2015), ed. Analysing the Usage of Spatial Prepositions in Short Messages. In: Progress in Location-Based Services 2014, Springer International Publishing, Cham, 153-169

Fohringer J., Dransch D., Kreibich H., Schröter K. (2015): Social Media as an Information Source for Rapid Flood Inundation Mapping. Nat. Hazards Earth Syst. Sci., 15, 2725–2738, doi:10.5194/nhess-15-2725-2015

Goda K., Wenzel F., De Risi R. (2015): Empirical Assessment of Nonlinear Seismic Demand of Mainshock-Aftershock Ground Motion Sequences for Japanese Earthquakes Front. Built Environ. 1:6. doi:10.3389/fbuil.2015.00006

Goda, K., Wenzel, F., Daniell, J.E.  (2014): Insurance and Re-insurance Models for Earthquake. In: Encyclopaedia of Earthquake Engineering (Eds. M. Beer, E. Patelli, I.  Kougioumtzoglou and I. Siu-Kui Au), Springer.

Gunasekera, R., Ishizawa , O., Aubrecht, C., Blankespoor, B., Murray, S., Pomonis, A., & Daniell, J.E. (2015): Developing an adaptive global exposure model to support the generation of country disaster risk profiles, Earth-Science Reviews, 150, 594-608.

Kunz M., Kugel P.S.I. (2015): Detection of Hail Signatures from Single-Polarization C-Band Radar Reflectivity. Atmos. Res., 153, 565-577. doi:10.1016/j.atmosres.2014.09.010

Mohr S., Kunz M., Geyer B. (2015): Hail Potential in Europe Based on a Regional Climate Model Hindcast. Geophys. Res. Lett., 42, doi:10.1002/2015GL067118

Mohr S., Kunz M., Keuler K. (2015): Development and Application of a Logistic Model to Estimate the Past and Future Hail Potential in Germany. J. Geophys. Res. Atmos., 120, 3939-3956. 10.1002/2014JD022959

Münzberg T., Wiens M., Raskob W., Schultmann F. (2015): Measuring Resilience - The Benefits of an Empirical Study of Power Outages by Media Data 10th Future Security Conference 2015, Berlin, September 15-17, 2015, Proceedings, 393 – 400

Münzberg T., Wiens M., Schultmann F. (2015): The Effect of Coping Capacity Depletion on Critical Infrastructure Resilience. Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, L. Palen, M. Buscher, T. Comes, and A. Hughes (eds).

Müller T., Meng S., Raskob W., Wiens M., Schultmann, F. (2015): A Transparent Approach for Prioritising Security Measures Beyerer, J.: (Eds.) Security Research Conference: 10th Future Security Conference, Berlin, September 15-17, 2015 Proceedings, 217-224

Raskob W., Bertsch V., Ruppert M., Strittmatter M., Happe L., Broadnax B., Wandler S., Deines E. (2015): Security of Electricity Supply in 2030. Critical Infrastructure Protection and Resilience Europe (CIPRE) Conference & Expo, The Hague, the Netherlands.

Raskob W., Wandler S., Deines E. (2015): Agent-based Modelling to Identify Possible Measures in Case of Critical Infrastructure Disruption. Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, L. Palen, M. Buscher, T. Comes, and A. Hughes (eds).

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. Hydrol. Earth Syst. Sci., 19, 309-327, doi:10.5194/hess-19-309-2015

Sokolov V., Wenzel F. (2015): On the Relation between Point-Wise and Multiple-Location Probabilistic Seismic Hazard Assessments. Bulletin of Earthquake Engineering, 13, 5, 1281-1301.


Anhorn, J., B. Khazai  (2014): Open Space Suitability Analysis for Emergency Shelter After An Earthquake. Nat. Hazards Earth Syst. Sci. Discussions, 2, 6, 4263-4297

Bonn, G. and Buchmann, A. and Hilbring, D. and Hohnecker, E. and Titzschkau, T. and Wenzel, F. (2014): Earthquake Early Warning for Transport Lines. In: Early Warning for Geological Disasters, Springer, 139–163.

Bindi, D., Gomez Capera, A., Parolai, S., Abdrakhmatov, K., Stucchi, M., Zschau, J. (2014): Location and magnitudes of earthquakes in Central Asia from seismic intensity data: model calibration and validation, Geophysical Journal. Int., 192, 710–724, doi:10.1093/gji/ggs039.

Daniell, J.E. (2014): Socioeconomic impact of earthquake disasters. In: Earthquake Hazard, Risk, and Disasters. Ed: Prof. Max Wyss, Earthquake and Seismic Hazards and Disasters. Elsevier.

Doll, C., Trinks, C., Sedlacek, N., Klug, S., Comes T., Schultmann, F. (2014): Adapting rail and road networks to weather extremes: case studies for southern Germany and Austria, Natural Hazards.72, 63–85.

Gerl, T. M., Bochow, M. and Kreibich, H. (2014): Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data. Water, 6, 8, 2367-2393

Girard, T., Wenzel, F., Khazai, B., Kunz-Plapp, T., Daniell, J.E. and Brink, S.A. (2014): Near Real-Time Analysis of Publicly Communicated Disaster Response Information, International Journal of Disaster Risk Science. 5, 165-175.

Hilbring, D., Titzschkau, T., Buchmann, A., Bonn, G., Wenzel, F., Hohnecker, E. (2014): Earthquake early warning for transport lines. Nat. Hazards, 70, 1795–1825, doi:10.1007/s11069-010-9609-3

Holschneider, M., Zöller, G., Clements, R. A., Schorlemmer, D. (2014): Can we test for the maximum possible earthquake magnitude J. Geophys. Res.  Solid Earth, 119, 3, 2019–2028

Khazai, B., T. Kunz-Plapp, C. Büscher, A. Wegner  (2014): VuWiki: An ontology-based semantic wiki for vulnerability assessments. International Journal of Disaster Risk Science, 5, 1, 55-73

Khazai, B., Daniell, J.E., Düzgün, S., Kunz-Plapp, T., Wenzel, F. (2014): Framework for Systemic Socio-Economic Vulnerability and Loss Assessment, In: Framework for Systemic Socio-Economic Vulnerability and Loss Assessment. Springer, 89–130.

Khazai, B., Daniell, J.E., Düzgün, S., Kunz-Plapp, T., Wenzel, F. (2014): Framework for Systemic Socio-Economic Vulnerability and Loss Assessment. In: SYNER-G: Systemic Seismic Vulnerability and Risk Assessment of Complex Urban, Utility, Lifeline Systems and Critical Facilities, Springer Netherlands.

Kreibich, H., K. Schröter, P. Bubeck, S. Parolai, B. Khazai, J. Daniell, M. Kunz, H. Mahlke, T. Lakes  (2014): A review of multiple natural hazard risks in Germany. Nat. Hazards, 74, 2279-2304, doi:10.1007/s11069-014-1265-6

Komendantova , N., R. Mrzyglocki, A. Mignan, B. Khazai , B. Wenzel (accepted 2013): Evaluating stakeholder perceptions in multi-hazard and multi-risk decision support models, International Journal of Disaster Risk Reduction, 8, 50–67.

Mak, S., Clements, R.A. and Schorlemmer D. (2014): Comment on “A New Procedure for Selecting and Ranking Ground-Motion Prediction Equations (GMPEs): The Euclidean Distance-Based Ranking (EDR) Method” by Ozkan Kale and Sinan Akkar, Bull. Seismol. Soc. Am., 104, 3139-3140, doi:10.1785/0120140106.

Mak, S., Clements, R.A. and Schorlemmer D. (2014): The Statistical Power of Testing Probabilistic Seismic-Hazard Assessments, Seismol. Res. Lett., 85, 781-783, doi:10.1785/0220140012.

Meng, S., Wiens, M. and Schultmann, F. (2014): A game theoretic approach to assess adversarial risks, Risk Analysis IX, 47, 141-152.

Merz, B., Elmer, F., Kunz, M., Mühr, B., Schröter, K. and Uhlemann-Elmer, S. (2014): The extreme flood in June 2013 in Germany, Houille Blanche, 1, 5–10, doi:10.1051/lhb/2014001.

Möhrle, S. (2014): On the Assessment of Disaster Management Strategies. In: ISCRAM 2014 Conference Proceedings, Book of Papers, 11th International Conference on Information Systems for Crisis Response and Management, Hiltz, S.R., Pfaff, M.S., Plotnick, L.,Shih P.C. (Ed.), The Pennsylvania State University, USA, ISBN 978-0-692-21194-6.

Motamed, H., Khazai, B., Ghafory-­Ashtiany, M., Amini­Hosseini, K. (2014): An Automated Model for Optimizing Budget Allocation in Earthquake Mitigation Scenarios, Natural Hazards, 70, 51–68, doi:10.1007/s11069-­011-­0035-­y.

Punge, C., Bedka, K., Kunz, M., Werner, A. (2014): A new physically based stochastic event catalog for hail in Europe. Nat. Hazards Earth Syst. Sci., 73, 3, 1625-1645.

Rhoades, D. A., Gerstenberger, M.C., Christophersen, A., Zechar, J.D., Schorlemmer, D., Werner, M.J. and Jordan T.H. (2014): Regional Earthquake Likelihood Models: Information Gains of Multiplicative Hybrids, Bull. Seismol. Soc. Am., 104, 3072-3083, doi:10.1785/0120140035.

Schneider, M., Clements, R., Rhoades, D., Schorlemmer, D. (2014): Likelihood- and residual-based evaluation of medium-term earthquake forecast models for California. Geophysical Journal International, 198, 3, 1307-1318.

Schorlemmer, D. and Gerstenberger M.C. (2014): Quantifying Improvements in Earthquake Rupture Forecasts Through Testable Models, In: Earthquake hazard, risk, and disasters, Eds: Max Wyss, Elsevier, 405-429, doi:10.1016/B978-0-12-394848-9.00015-8.

Schröter, K., Kreibich, H., Vogel, K., Riggelsen, C., Scherbaum, F. and Merz, B. (2014): How useful are complex flood damage models?, Water Resour. Res., 50, 3378–3395, doi:10.1002/2013WR014396.

Schurr B., Asch G., Hainzl S., Bedford J., Hoechner A., Palo M., Wang R., Moreno M., Bartsch M., Zhang Y., Oncken O., Tilmann F., Dahm T., Victor P., Barrientos S. and Vilotte J.-P.(2014): Gradual unlocking of plate boundary controlled initiation of the 2014 Iquique earthquake, Nature, doi:10.1038/nature13681.

Vogel, K., Riggelsen, C., Scherbaum, F., Schröter, K., Kreibich, H. and 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), Boca Raton, Fla [u.a.] : CRC Press, p. 3123-3130.

Wyss, M., Wenzel, F., Daniell, J. E. (2014): How useful is early warning and can it be made more effective? In: Early Warning for Geological Disasters, Ed.: Advanced Technologies in Earth Sciences, 369-379.

Zhang Y., Wang R., Zschau J., Chen Y., Parolai S. and Dahm T. (2014): Automatic imaging of earthquake rupture processes by iterative deconvolution and stacking of high-rate GPS and strong motion seismograms, Journal of Geophysical Research, doi:10.1002/2013JB010469.


Berg P., Wagner S., Kunstmann H., Schädler, G.  (2013): High resolution RCM simulations for Germany: Part I — Validation, Climate Dynamics, 40, 401–414.

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