Weather-induced emergency situations: Extreme data in situational awareness and visualisation Wetterbedingte Gefahrenlagen: Extreme Daten in der Lageerkundung und -visualisierung Gräßler, Iris Pottebaum, Jens Hieb, Michael Pratzler-Wanczura, Sylvia Krüger, Oliver Kruijff, Ivana Rupp, Nicola Bernsdorf, Bodo ddc:620 ddc:004 Extreme weather situations increasingly lead to hazardous situations with high demands on de-cision-making and communication. Weather and impact forecasts serve to prepare for such an emergency situation, and extreme data must be processed during operations. Therefore, extreme data is categorised with reference to global weather data and data from local situation reconnais-sance using sensors carried by mobile robots. A concept is presented in which information quality is explicitly considered in visualization for situational awareness. This extends existing principles of information visualisation with regard to the uncertainty resulting from extreme data. The re-sults are intended to help decision-makers at different management levels to make informed decisions. Technische Hochschule Georg Agricola 2024 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/58233 Gräßler I, Pottebaum J, Hieb M, et al. Weather-induced emergency situations: Extreme data in situational awareness and visualisation. In: Bernsdorf B, ed. <i>Proceedings of the Days of Security Research 2023</i>. Technische Hochschule Georg Agricola; 2024. eng info:eu-repo/semantics/closedAccess