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Hemmingway R and J Robbins, 2020, Developing a hazard-impact model to support impact-based forecasts and warnings: The Vehicle OverTurning (VOT) Model. Meteorological Applications, 27, 1, https://doi.org/10.1002/met.1819.

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Kremer, T., E. Schömer, C. Euler, and M. Riemer, 2020: Cluster analysis tailored to structure change of tropical cyclones using a very large number of trajectories, Mon. Wea. Rev., 148, 1-59, doi: 10.1175/MWR-D-19-0408.1.

Kumjian, M.R., Gutierrez, R., Soderholm, J.S., Nesbitt, S.W., Maldonado, P., Luna, L.M., Marquis, J., Bowley, K.A., Imaz, M.A. and Salio, P., 2020. Gargantuan hail in Argentina. Bulletin of the American Meteorological Society, 101(8), pp.E1241-E1258.

Kunz, M., J. Wandel, E. Fluck, S. Baumstark, S. Mohr, and S. Schemm, 2020. Ambient conditions prevailing during hail events in central Europe, Natural Hazards and Earth System Sciences, 20:1867-1887. Doi:10.5194/nhess-20-1867-2020.

Lazo, J.K., H.R. Hosterman, J.M. Sprague-Hilderbrand, and J.E. Adkins, 2020. Impact-based decision support services and the socioeconomic impacts of winter storms, Bulletin of the American Meteorological Society, 101(5):E626:639. DOI:10.1175/BAMS-D-18-0153.1.

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Merz, B., Kuhlicke, C., Kunz, M., Pittore, M., Babeyko, A., Bresch, D. N., Domeisen, D.I.V., Feser, F., Koszalka, I., Kreibich, H., Pantillon, F., Parolai, S., Pinto, J.G., Punge, H.J., Rivalta, E., Schröter, K., Strehlow, K., Weisse, R., and Wurpts, A., 2020: Impact Forecasting to Support Emergency Management of Natural Hazards, Rev.  Geophys., 58, doi: 10.1029/2020RG000704.

Mills, B., 2020. An updated assessment of lightning-related fatality and injury risk in Canada: 2002-17, Natural Hazards, 102(3):997-1009. https://link.springer.com/article/10.1007/s11069-020-03942-9.

Mills, B., J. Andrey, S. Doherty, B. Doberstein, and J. Yessis, 2020. Winter storms and fall-related injuries: Is it safer to walk than to drive? Weather, Climate & Society. https://journals.ametsoc.org/doi/abs/10.1175/WCAS-D-19-0099.1.

Mondino, E., A. Scolobig, M. Borga, F. Albrecht, J. Mard, P. Weyrich*, and G. Di Baldassarre, 2020. Exploring changes in hydrogeological risk awareness and preparedness over time: a case study in northeastern Italy, Hydrological Sciences Journal, DOI: 10.1080/02626667.2020.1729361.

Mostafiz, R.B., C.J. Friedland, R.V. Rohli, M. Gall, N. Bushra, and J.M. Gilliland, 2020. Census-block-level property risk estimation due to extreme cold temperature, hail, lightning, and tornadoes in Louisiana, United States, Frontiers in Earth Science, 8:601624. DOI: 10.3389/feart.2020.601624.

Ndalila, M.N., Williamson, G.J., Fox-Hughes, P., Sharples, J. and Bowman, D.M., 2020. Evolution of a pyrocumulonimbus event associated with an extreme wildfire in Tasmania, Australia. Natural Hazards and Earth System Sciences, 20(5), pp.1497-1511.

Neal, R., J. Robbins, R. Dankers, A. Mitra, A. Jayakumar, E.N. Rajagopal, and G. Adamson, 2020. Deriving optimal weather pattern definitions for the representation of precipitation variability over India, International Journal of Climatology, 40(1):342-360. DOI: 10.1002/joc.6215.

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Rogers, D.P., L. Anderson-Berry, A.-M. Bogdanova, G. Fleming, H. Gitay, S. Kahandawa, H. Kootval, M. Staudinger, M. Suwa, V. Tsirkunov, and W. Wang, 2020. COVID-19 and lessons from multi-hazard early warning systems, Advances in Science and Research, 17:129-141. https://doi.org/10.5194/asr-17-129-2020.

Schäfler, A., B. Harvey, J. Methven, J.D. Doyle, S. Rahm, O.  Reitebuch, F. Weiler, and B. Witschas, 2020: Observation of jet stream winds during NAWDEX and characterization of systematic meteorological analysis errors, Mon. Wea. Rev., 148, 2889-2907, doi:10.1175/MWR-D-19-0229.1.

Spensberger, C., Madonna, E., Boettcher, M., Grams, C.M., Papritz, L., Quinting, J.F., Röthlisberger, M., Sprenger, M. and Zschenderlein, P., 2020: Dynamics of concurrent and sequential Central European and Scandinavian heatwaves, Q. J. Royal Meteorol. Soc., Accepted Author Manuscript, doi:10.1002/qj.3822.

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Stratman, D. R., N. Yussouf, Y. Jung, T. A. Supinie, M. Xue, P. S. Skinner, and B. J. Putnam, 2020: Optimal Temporal Frequency of NSSL Phased-Array Radar Observations for an Experimental Warn-on-Forecast System. Wea. Forecasting, in press. https://doi.org/10.1175/WAF-D-19-0165.1.

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Vannitsem, S., Bremnes, J. B., Demaeyer, J., Evans, G. R., Flowerdew, J., Hemri, S., Lerch, S., Roberts, N., Theis, S., Ben Bouallègue, A. A. Z., Bhend, J., Dabernig, M., De Cruz, L., Hieta, L., Mestre, O., Moret, L., Odak Plenković, I., Schmeits, M., Taillardat,  M., Van den Bergh, J., Van Schaeybroeck, B., Whan, K., and Ylhaisi, J., 2020:  Statistical Postprocessing for Weather Forecasts – Review, Challenges and Avenues in a Big Data World, Bull. Amer. Meteor. Soc.,doi: 10.1175/BAMS-D-19-0308.1.

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Vogel, P., Knippertz, P., Gneiting, T., Fink, A. H., Klar, M., Schlueter, A., 2020: Statistical forecasts for the occurrence of precipitation outperform global models over northern Tropical Africa, Geophys. Res. Lett., doi:10.1029/2020GL091022.

Vogel, P., Knippertz, P., Fink, A. H., Schlueter, A., Gneiting, T.,2020: Skill of global raw and postprocessed ensemble predictions of rainfall in the tropics, Wea. Forecasting, 35(6), 2367–2385, doi:10.1175/WAF-D-20-0082.1.

Ward, P.J., V. Blauhut, N. Bloemendaal, J.E. Daniell, M.C. de Ruiter, M.J. Duncan, R. Emberson, S.F. Jenkins, D. Kirschbaum, M. Kunz, S. Mohr, S. Muis, G.A. Riddell, A. Schäfer, T. Stanley, T.I.E. Veldkamp, and H.C. Wellmann, C., Barrett, A. I., Johnson, J. S., Kunz, M., Vogel, B., Carslaw, K. S., Hoose, C., 2020: Comparing the impact of environmental conditions and microphysics on the forecast uncertainty of deep convective clouds and hail, Atmos. Chem. Phys., 20 (4), 2201–2219.  doi:10.5194/acp-20-2201-2020.

Weyrich P., Scolobig A., Walther F., Patt A., 2020, Do intentions indicate actual behaviours? A comparison between scenario-based experiments and real-time observations of warning response, Journal of Contingencies and Crisis Management, 28: 240-250 https://doi.org/10.1111/1468-5973.12318.

Weyrich P., Scolobig A., Walther F., Patt A., 2020, Responses to severe weather warnings and affective decision-making, Natural Hazards and Earth System Sciences, 20: 2811-2821 https://doi.org/10.5194/nhess-20-2811-2020 .

Weyrich P., Mondino E., Borga M., Di Baldassare G., Patt A., Scolobig A., 2020, A flood risk oriented dynamic protection motivation framework to explain risk reduction behaviours, Natural Hazard and Earth System Sciences, 20 (1): 287-298.https://www.nat-hazards-earth-syst-sci.net/20/287/2020/.

Wilhelm J., S. Mohr, H.J. Punge, B. Mühr, M. Schmidberger, J.E.  Daniell, K.M. Bedka, and M. Kunz, 2020: Severe thunderstorms with large hail across Germany in June 2019, Weather, doi:10.1002/wea.3886.

Winsemius, 2020. Review article: Natural hazard risk assessments at the global scale, Natural Hazards and Earth System Sciences, 20:1069-1096. Doi:10.5194/nhess-20-1069-2020.

Wirth, V., 2020: Waveguidability of idealized midlatitude jets and the limitations of ray tracing theory, Weather Clim. Dynam.  Discussion, doi: 10.5194/wcd-2020-3.

Yussouf, N., K. A. Wilson S. M. Martinaitis, H. Vergara, P. L. Heinselman, and J. J. Gourley, 2020: The Coupling of NSSL Warn-on-Forecast and FLASH Systems for Probabilistic Flash Flood Prediction, J. Hydrometeorology, 21, 123-141, https://doi.org/10.1175/JHM-D-19-0131.1.

Yussouf, N., Jones, T. A., and P. S. Skinner, 2020: Probabilistic High Impact Rainfall Forecasts from Landfalling Tropical Cyclones using Warn-on-Forecast System. Quarterly Journal of Royal Meteorological Society, 146, 2050–2065, https://doi.org/10.1002/qj.3779.

Zeng, Y., T. Janjić, A. de Lozar, S. Rasp, U. Blahak, A. Seifert, and G.C. Craig, 2020: Comparison of Methods Accounting for Subgrid-Scale Model Error in Convective-Scale Data Assimilation, Mon.  Wea. Rev., 148, 2457–2477, doi:10.1175/MWR-D-19-0064.1.

Zschenderlein, P., Pfahl, S., Wernli, H., and Fink, A. H., 2020: A Lagrangian analysis of upper-tropospheric anticyclones associated with heat waves in Europe, Weather Clim. Dynam., 1, 191–206, doi: 10.5194/wcd-1-191-2020.

Li, X., Zhang, Q., Zhou, L., An, Y., 2020. Chemical composition of a hailstone: evidence for tracking hailstone trajectory in deep convection. April 2020, Science Bulletin 65(16), DOI: 10.1016/j.scib.2020.04.034.

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