Forest stem volume and storm damage mapping in Finland and Russia

Astola, Heikki; Molinier, Matthieu; Simons, Magnus; Susila, Paula

doi:10.1109/igarss.2014.6946932

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…3b). From meteorological perspective, the scenario imitates the so-called "Asta" strongwind event that happened in 2010 and caused financial losses of over EUR 20 million (Astola et al, 2014). This particular event was selected because most of the trainees for whom the experiment was designed had indeed experienced strong Asta winds.…”

Section: Input Data and Simulationsmentioning

confidence: 99%

ANYCaRE: a role-playing game to investigate crisis decision-making and communication challenges in weather-related hazards

Terti

Ruin

Kalaš³

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. This study proposes a role-playing experiment to explore the value of modern impact-based weather forecasts on the decision-making process to (i) issue warnings and manage the official emergency response under uncertainty and (ii) communicate and trigger protective action at different levels of the warning system across Europe. Here, flood or strong-wind game simulations seek to represent the players' realistic uncertainties and dilemmas embedded in the real-time forecasting-warning processes. The game was first tested in two scientific workshops in Finland and France, where European researchers, developers, forecasters and civil protection representatives played the simulations. Two other game sessions were organized afterwards (i) with undergraduate university students in France and (ii) with Finnish stakeholders involved in the management of hazardous weather emergencies. First results indicate that multi-model developments and crowdsourcing tools increase the level of confidence in the decision-making under pressure. We found that the role-playing approach facilitates interdisciplinary cooperation and argumentation on emergency response in a fun and interactive manner. The ANYCaRE experiment was proposed, therefore, as a valuable learning tool to enhance participants' understanding of the complexities and challenges met by various actors in weather-related emergency management.

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Section: Input Data and Simulationsmentioning

confidence: 99%