Search Results for author:
Found 2 papers, 0 papers with code
Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification
In this work, we develop an exospheric temperature model based in machine learning (ML) that can be used with NRLMSIS 2. 0 to calibrate it relative to high-fidelity satellite density estimates.
Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling
Machine learning (ML) is often viewed as a black-box regression technique that is unable to provide considerable scientific insight.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
