Visualizing Earth Science Climate Model and Digital Twin data in XR

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VALIXRAGU2024PosterFinal.pdf (2.22 MB)

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https://ntrs.nasa.gov/citations/20240015847

Permanent Link

http://hdl.handle.net/11603/39086

Collections

UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Office for the Vice President of Research & Creative Achievement (ORCA)
UMBC Physics Department

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0001-9480-0583
 https://orcid.org/0000-0003-2838-0140

Date

2024-12-10

Type of Work

posters
conference papers and proceedings
Text

Department

Program

Citation of Original Publication

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.

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.
Public Domain

Subjects

Earth Resources and Remote Sensing
UMBC Ebiquity Research Group

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