Visualizing Earth Science Climate Model and Digital Twin data in XR

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

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2024-12-10
DOI
https://doi.org/10.13016/m2fmbd-glca
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Visualizing Earth Science Climate Model and Digital Twin data in XR

Maryland Shared Open Access Repository (USMAI Consortium)
Geomagnetism and Paleomagnetism Studies
article

Visualizing Earth Science Climate Model and Digital Twin data in XR

article en

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

Maryland Shared Open Access Repository (USMAI Consortium)
Climate action
Openalex Percentile: Top 73%
Geomagnetism and Paleomagnetism Studies
DOIOpen Access PDFOpenAlex
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Visualizing Earth Science Climate Model and Digital Twin data in XR · Maryland Shared Open Access Repository (USMAI Consortium) (2024) | TGRS Research Map | TGRS