A thermospheric neutral mass density model with robust and reliable uncertainty estimates
is developed based on the Space Environment Technologies (SET) High Accuracy Satellite …

Abstract Machine learning (ML) has been applied to space weather problems with
increasing frequency in recent years, driven by an influx of in-situ measurements and a …

We investigate satellite orbital drag effects at low‐Earth orbit associated with thermosphere
heating during magnetic storms caused by coronal mass ejections. CHAllenge Mini‐satellite …

Inaccurate estimates of the thermospheric density are a major source of error in low Earth
orbit prediction. Therefore, real‐time density estimation is required to improve orbit …

Numerical simulation of unsteady fluid flow plays an important role in several areas of the
aeronautical industry. Since high-fidelity computational fluid dynamics simulations could be …

Multi‐model ensembles (MMEs) are used to improve the forecasts of thermospheric neutral
densities. A variety of algorithms for constructing the model weights for the MMEs are …

As the number of man‐made Earth‐orbiting objects increases, satellite operators need
enhanced space traffic management capabilities to ensure safe space operations. For …

Abstract The High Accuracy Satellite Drag Model (HASDM) is the operational thermospheric
density model used by the US Space Force Combined Space Operations Center. By using …

The geospace environment is volatile and highly driven. Space weather has effects on
Earth's magnetosphere that cause a dynamic and enigmatic response in the thermosphere …

Abstract Space weather indices are commonly used to drive operational forecasts of various
geospace systems, including the thermosphere for mass density and satellite drag. The …