Work

Visualizing Earth Science Climate Model and Digital Twin data in XR

Year: 2024

Type: article

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

Source: Maryland Shared Open Access Repository (USMAI Consortium)

DOI: 10.13016/m2fmbd-glca

Authors: Grubb, Thomas, Kullman, Kaur, Clune, Thomas, Lait, Leslie R., Zwicker, Matthias, Guimond, Stephen, West, Ruth, Eastman, Roger, Engel, Don, Ames, Troy, Hosler, Jeffrey, Hegde, Srinidhi

Language: English

Topic: Environmental Monitoring and Data Management

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W6903589148

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