Grubb, ThomasKullman, KaurClune, ThomasLait, Leslie R.Zwicker, MatthiasGuimond, StephenWest, RuthEastman, RogerEngel, DonAmes, TroyHosler, JeffreyHegde, Srinidhi2025-06-172025-06-172024-12-10Grubb, 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.http://hdl.handle.net/11603/39086AGU24 Washington, D.C. US, December 9, 2024 - December 13, 2024Earth 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 systems1 pageen-USThis 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 Domainhttps://creativecommons.org/publicdomain/mark/1.0/Earth Resources and Remote SensingUMBC Ebiquity Research GroupText