NOAA AI-based 3D earth and space observing digital twin (EO-DT)

Montgomery, Lynn; Ballance, Brandon; Hoffmann, Gary; Caldwell, Chandler; Linenfelser, Andrew; Lance, Jared; Stone, John; Kaye, Thomas

doi:10.25923/6re2-ke14

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NOAA AI-based 3D earth and space observing digital twin (EO-DT)

2025
By Montgomery, Lynn ; Ballance, Brandon ; Hoffmann, Gary ; ...

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Alternative Title:

Joint Venture Partnerships Program - NOAA AI-BASED 3D EARTH AND SPACE OBSERVING DIGITAL TWIN (EO-DT)
Personal Author:

Montgomery, Lynn ; Ballance, Brandon ; Hoffmann, Gary ; Caldwell, Chandler ; Linenfelser, Andrew ; Lance, Jared ; Stone, John ; Kaye, Thomas
Corporate Authors:

Lockheed Martin. ; NVIDIA Corporation.
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; SAE (Office of Systems Architecture and Engineering)
Description:

To explore digital twin technologies for this EO-DT use case, Lockheed Martin (LM) and NVIDIA partnered on a 2-year program to build an AI-Driven Earth and Space Observing Digital Twin prototype which ingests, analyzes, and visualizes geophysical data coming from five Earth system domains (atmosphere, ocean, cryosphere, land and hydrology, and space weather).
Keywords:

AI Driven Earth And Space Observing Digital Twin Earth Observation Digital Twin EO DT Joint Venture Partnerships Program
DOI:

https://doi.org/10.25923/6re2-ke14
Format:

pdf
Document Type:

Non-series Report
Funding:

Contract no. 1332KP22CNEEP0011 ; Contract no. 1332KP24C0004
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:026f119d4121ea7c8acca93a2f3d33187016c660ed715fd2deea62e4ed90f0a2502f56e350216e8f6160e5774bd680edb76f1468c2a092b8ea442bda13f85fba
Download URL:

https://repository.library.noaa.gov/view/noaa/71337/noaa_71337_DS1.pdf
File Type:

[PDF - 25.71 MB ]

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