We use the CESM2-WACCM, to study the importance of ozone in the vertical coupling between lower and upper atmosphere during SSWs.
The Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X) is a comprehensive numerical model, spanning the range of altitude from the Earth’s surface to the upper thermosphere.
The scientific goals of the model include studying solar impacts on the Earth atmosphere, couplings between atmosphere layers through chemical, physical and dynamical processes, and the implications of the coupling for the climate and for the near space environment. The development of the model is inter-divisional collaboration that unifies certain aspects of the upper atmospheric modeling of HAO, the middle atmosphere modeling of ACOM, and the tropospheric modeling of CGD, using the NCAR Community Earth System Model (CESM) as a common numerical framework.
-CESM main page
-CESM quick start guide
-WACCM-X Compsets
-CESM/WACCM-X description
-http://www.cesm.ucar.edu/working_groups/Whole-Atmosphere/
-https://www2.acom.ucar.edu/gcm/waccm
-/modeling/waccm-x/mailing-list
-/modeling/sd/waccm-x/ExtendedRuns
-https://doi.org/10.26024/ypnz-d857
-Release Notes for WACCM-X v.2.1
-Release Notes for WACCM-X v.2.0
-http://www.cesm.ucar.edu/models/cesm2
-http://www.cesm.ucar.edu/models/cesm2/whatsnew.html
We use the CESM2-WACCM, to study the importance of ozone in the vertical coupling between lower and upper atmosphere during SSWs.
Simulations with the Community Earth System Model 2 using the Whole Atmosphere Community Climate Model configuration, known as CESM2(WACCM6), show evidence of dynamical coupling from the high latitudes of the winter middle atmosphere to the tropics and the middle and high latitudes of the summer
A puzzling feature of the Earth’s equatorial upper atmosphere is the occurrence of enhanced VHF radar echoes near 150-km altitude. These so-called 150-km echoes have been observed for over 50-years, and occur nearly every day, making them a persistent feature of the equatorial ionosphere.
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.
Solomon and colleagues conducted global simulations of temperature change due to emissions of trace gases due to human activity, that extended from the surface, throughout the atmosphere, to space.