Visualization and analysis of deep water asteroid impacts

Imahorn R, Baeza Rojo I, Günther T (2018)

Publication Type: Conference contribution

Publication year: 2018

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 85-96

Conference Proceedings Title: 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings

Event location: Berlin DE

ISBN: 9781538668825

DOI: 10.1109/SciVis.2018.8823609

Abstract

As evident by the Earth's history, severe asteroid impacts pose a significant threat to all species living on our planet. The severity of an impact is difficult to predict due to the vast amount of dependent parameters and thus the potential consequences on climate, plate tectonics and organisms are not yet fully understood. To improve our understanding of the threats imposed by asteroid impacts, scientists at Los Alamos National Laboratory conducted an ensemble simulation for varying impact scenarios into deep water oceans. The IEEE Scientific Visualization Contest 2018 is dedicated to the visual analysis of these asteroid impact simulations. In this paper, we apply a number of recent state-of-the-art visualization techniques to visually compare and analyze the varying impact scenarios. We discuss both automatic approaches applicable to an in-situ analysis, as well as interactive approaches for a detailed exploration.

Authors with CRIS profile

Tobias Günther

Involved external institutions

Eidgenössische Technische Hochschule Zürich (ETHZ) / Swiss Federal Institute of Technology in Zurich CH Switzerland (CH)

How to cite

APA:

Imahorn, R., Baeza Rojo, I., & Günther, T. (2018). Visualization and analysis of deep water asteroid impacts. In Berk Geveci, Gordon Kindlmann, Luis Gustavo Nonato (Eds.), 2018 IEEE Scientific Visualization Conference, SciVis 2018 - Proceedings (pp. 85-96). Berlin, DE: Institute of Electrical and Electronics Engineers Inc..

MLA:

Imahorn, Raphael, Irene Baeza Rojo, and Tobias Günther. "Visualization and analysis of deep water asteroid impacts." Proceedings of the 2018 IEEE Scientific Visualization Conference, SciVis 2018, Berlin Ed. Berk Geveci, Gordon Kindlmann, Luis Gustavo Nonato, Institute of Electrical and Electronics Engineers Inc., 2018. 85-96.

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