English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The first systematic comparison between Swarm‐C accelerometer‐derived thermospheric density and both empirical and physics‐based model results using multiple model performance metrics is presented. This comparison is performed at the satellite's high temporal 10‐s resolution, which provides a meaningful evaluation of the models' fidelity for orbit prediction and other space weather forecasting applications. The comparison against the physical model is influenced by the specification of the lower atmospheric forcing, the high‐latitude ionospheric plasma convection, and solar activity. Some insights into the model response to thermosphere‐driving mechanisms are obtained through a machine learning exercise. The results of this analysis show that the short‐timescale variations observed by Swarm‐C during periods of high solar and geomagnetic activity were better captured by the physics‐based model than the empirical models. It is concluded that Swarm‐C data agree well with the climatologies inherent within the models and are, therefore, a useful data set for further model validation and scientific research.

The First Comparison Between Swarm‐C Accelerometer‐Derived Thermospheric Densities and Physical and Empirical Model Estimates