The ability to predict conditions in Earth’s ionosphere and thermosphere is of increasing societal relevance due to the growing dependence on, for example, satellite based communications and navigation (e.g., GPS) systems.

Large‐scale meteorological disturbances like sudden stratospheric warmings (SSWs) are often of interest for the investigation of a variety of mechanisms and processes that link different regions of the Earth's atmosphere across a wide range of altitudes and latitudes.

Medium-scale ionospheric ionization structures are a persistent global feature of the earth’s ionosphere.

This study, by Pedatella and others, employs a troposphere to lower thermosphere reanalysis dataset generated by the Whole Atmosphere Community Climate Model with data assimilation provided by the Data Assimilation Research Testbed (WACCM+DART).

Nicholas Pedatella notes that geomagnetic storms are an important driver of variability in Earth’s ionosphere, and can have significant societal impacts through the ionosphere’s impact on communications and navigation systems (e.g., GPS).

Whole Atmosphere Community Climate Model (WACCM) simulations are used to investigate the short-term (30-day) temporal variability in the mid- and high-latitude Southern Hemisphere mesosphere.

H.Liu et al. have improved a comprehensive numerical model, the Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X).

The Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X) is a numerical model of the

Plain Language Summary or Abstract: Whole atmosphere models offer the opportunity to improve specification and forecasting of the upper atmosphere through incorporating the effects of forcing from both the lower atmosphere as well as the Sun.