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REU_Final_Presentation
15 May 2024 | Contributor(s): Homayra Alam, Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Omar Faruque, Sikan Li, Mathieu Morlighem
Abstract:The purpose of this research is to study how different machine learning and statistical models can be used to predict bedrock topography under the Greenland ice sheet using ice-penetrating radar and satellite imagery data. Accurate bed topography representations are crucial for...
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Underwater volcano disaster - an Oxford Sparks Animation
19 Mar 2014 | Contributor(s): David Pyle
A short (2 minute) animation of a subduction zone and volcano, introducing the processes involved in subduction, melting and volcanism.This animation can be used as a stand alone item, or in a classroom. We have developed some class activities around an exercise in volcano monitoring at an...
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Visualizing Glacier/Ocean Change
21 May 2024 | Contributor(s): Sophie Goliber, John Erich Christian
A simple 1-D glacier model to teach students about glacier/ocean changes.
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Visualizing the Greenland Ice Sheet in VR using Immersive Fence Diagrams
23 Apr 2024 | Contributor(s): Naomi Tack, Rebecca Williams, Nicholas Holschuh, Sharad Sharma, Don Engel
Naomi Tack, Rebecca Williams, Nicholas Holschuh, Sharad Sharma, and Don Engel. 2023. Visualizing the Greenland Ice Sheet in VR using Immersive Fence Diagrams. In Practice and Experience in Advanced Research Computing, ACM, Portland OR USA, 429–432. DOI:...
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VUELCO deliverable 7.5: Guidelines for the best practice of scientific management of volcanic unrest
09 Sep 2015 | Contributor(s): dmitri rouwet
Volcanic eruption forecasting and hazard assessment are multi-disciplinary processes with scientific and social implications. Our limited knowledge and the randomness of the processes behind a volcanic eruption yields the need of quantifying uncertainties on volcano dynamics. With deterministic...