Visualizing Earth Science Climate Model and Digital Twin data in XR
dc.contributor.author | Grubb, Thomas | |
dc.contributor.author | Kullman, Kaur | |
dc.contributor.author | Clune, Thomas | |
dc.contributor.author | Lait, Leslie R. | |
dc.contributor.author | Zwicker, Matthias | |
dc.contributor.author | Guimond, Stephen | |
dc.contributor.author | West, Ruth | |
dc.contributor.author | Eastman, Roger | |
dc.contributor.author | Engel, Don | |
dc.contributor.author | Ames, Troy | |
dc.contributor.author | Hosler, Jeffrey | |
dc.contributor.author | Hegde, Srinidhi | |
dc.date.accessioned | 2025-06-17T14:46:50Z | |
dc.date.available | 2025-06-17T14:46:50Z | |
dc.date.issued | 2024-12-10 | |
dc.description | AGU24 Washington, D.C. US, December 9, 2024 - December 13, 2024 | |
dc.description.abstract | Earth Science benefits from a vast treasure trove of in-situ and remotely sensed observational data as well as complex modeling products. Earth Science Digital Twins (ESDT) are an emerging capability that integrates and synthesizes this and other data to help with understanding and forecasting the complex interconnections among Earth systems | |
dc.description.sponsorship | WBS: 430728.02.24.01.10 | |
dc.description.uri | https://ntrs.nasa.gov/citations/20240015847 | |
dc.format.extent | 1 page | |
dc.genre | posters | |
dc.genre | conference papers and proceedings | |
dc.identifier.citation | Grubb, Thomas, Kaur Kullman, Thomas Clune, Leslie R. Lait, Matthias Zwicker, Stephen Guimond, Ruth West, et al. “Visualizing Earth Science Climate Model and Digital Twin Data in XR.” AGU24, Washington, D.C., Dec. 9-14, 2024. https://ntrs.nasa.gov/citations/20240015847. | |
dc.identifier.uri | http://hdl.handle.net/11603/39086 | |
dc.language.iso | en_US | |
dc.publisher | AGU | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II) | |
dc.relation.ispartof | UMBC Office for the Vice President of Research | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department | |
dc.relation.ispartof | UMBC Physics Department | |
dc.rights | This is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
dc.rights | Public Domain | |
dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
dc.subject | Earth Resources and Remote Sensing | |
dc.subject | UMBC Ebiquity Research Group | |
dc.title | Visualizing Earth Science Climate Model and Digital Twin data in XR | |
dc.type | Text | |
dcterms.creator | https://orcid.org/0000-0001-9480-0583 | |
dcterms.creator | https://orcid.org/0000-0003-2838-0140 |
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UMBC Faculty Collection
UMBC Office for the Vice President of Research & Creative Achievement (ORCA)
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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Office for the Vice President of Research & Creative Achievement (ORCA)
UMBC Physics Department