File:Finding Dust at Night (SVS5040 - ML Dust withCALIPSO 01450).tiff

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Original file (3,840 × 2,160 pixels, file size: 63.28 MB, MIME type: image/tiff)

Captions

Captions

Data visualization depicting an April 5-8, 2022 dust event using data from DustTracker-AI - a physically-based machine learning model to track dust into the night-time hours.

Summary

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Description
English: Data visualization depicting an April 5-8, 2022 dust event using data from DustTracker-AI - a physically-based machine learning model to track dust into the night-time hours. Dust probability is shown as the dust event spans into the night and is then compared with data from NASA’s CALIPSO satellite.
Date 1 November 2022 (upload date)
Source Finding Dust at Night
Author NASA's Scientific Visualization Studio - Anansa B. Keaton-ashanti, Greg Shirah, Kel Elkins, Emily B. Berndt, Dauna Coulter, Ian Jones, Laurence Schuler
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Keywords
InfoField
aerosols; Calipso; Dust/Ash; Hyperwall; Earth Science; Dust; Atmosphere

Licensing

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Public domain This file is in the public domain in the United States because it was solely created by NASA. NASA copyright policy states that "NASA material is not protected by copyright unless noted". (See Template:PD-USGov, NASA copyright policy page or JPL Image Use Policy.)
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