Using XR for Improving Scientific Discovery with Numerical Weather Models

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dc.contributor.authorGrubb, Thomas
dc.contributor.authorKullman, Kaur
dc.contributor.authorClune, Thomas
dc.contributor.authorLait, Leslie
dc.contributor.authorZwicker, Matthias
dc.contributor.authorGuimond, Stephen
dc.contributor.authorWest, Ruth
dc.contributor.authorEastman, Roger
dc.contributor.authorAfflerbach, Ian
dc.contributor.authorEngel, Don
dc.date.accessioned2023-12-07T20:06:11Z
dc.date.available2023-12-07T20:06:11Z
dc.date.issued2023-10-20
dc.descriptionIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA, USA
dc.description.abstractOur work explores the use of extended reality (XR) to improve scientific discovery with numerical weather/climate models that inform Earth science digital twins, specifically the NASA Goddard Earth Observing System (GEOS) global atmospheric model. The overall project is named the Visualization And Lagrangian dynamics Immersive eXtended Reality Toolkit (VALIXR), which has two main areas of focus: (1) enhancing the understanding of and interaction with model output data through advanced visualizations in the XR environment, and (2) the integration of Lagrangian dynamics into the GEOS model, which allows a natural, feature-specific analysis of Earth science phenomena as opposed to traditional, fixed-point Eulerian dynamics. Here, we report initial work on these focus areas.
dc.description.sponsorshipThis work was funded through the NASA ESTO AIST grant “GEOS Visualization And Lagrangian dynamics Immersive eXtended Reality Tool (VALIXR) for Scientific Discovery”
dc.description.urihttps://ieeexplore.ieee.org/document/10282886
dc.format.extent4 pages
dc.genreconference papers and proceedings
dc.identifier.citationGrubb, Thomas, Kaur Kullman, Thomas Clune, Leslie Lait, Matthias Zwicker, Stephen Guimond, Ruth West, Roger Eastman, Ian Afflerbach, and Don Engel. “Using XR for Improving Scientific Discovery with Numerical Weather Models.” In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 1537–40, 2023. https://doi.org/10.1109/IGARSS52108.2023.10282886.
dc.identifier.urihttps://doi.org/10.1109/IGARSS52108.2023.10282886
dc.identifier.urihttp://hdl.handle.net/11603/31034
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Center for Space Sciences and Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore 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.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleUsing XR for Improving Scientific Discovery with Numerical Weather Models
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9480-0583
dcterms.creatorhttps://orcid.org/0000-0001-7185-5629
dcterms.creatorhttps://orcid.org/0000-0003-2838-0140

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