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A Machine Learning-Based Thermospheric Density Model with Uncertainty Quantification

Conventional thermospheric density models are limited in their ability to capture solar-geomagnetic coupling dynamics and lack probabilistic uncertainty estimates. We present MSIS-UN (NRLMSISE-00 with Uncertainty Quantification), an innovative framework integrating sparse principal component analysi...

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Váldodahkkit: Junzhi Li, Xin Ning, Yong Wang
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2025-09-01
Ráidu:Atmosphere
Fáttát:
Liŋkkat:https://www.mdpi.com/2073-4433/16/10/1120
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