Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification

Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification

Abstract A thermospheric neutral mass density model with robust and reliable uncertainty estimates is developed based on the Space Environment Technologies (SET) High Accuracy Satellite Drag Model (HASDM) density database. This database, created by SET, contains 20 years of outputs from the U.S. Spa...

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Bibliographic Details
Main Authors: Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, S. Huzurbazar
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:Space Weather
Subjects:
machine learning
uncertainty quantification
thermosphere
density
Online Access:https://doi.org/10.1029/2021SW002915
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https://doi.org/10.1029/2021SW002915

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