A 1-D QBO model testbed for data-driven gravity wave parameterization: Generalization and calibration
Here’s the poster.
Gravity waves, or buoyancy waves, so named because their restoring force is the action of gravity on a stratified fluid, present a challenge to atmospheric modeling. They play an important role in the global atmospheric circulation by transporting momentum, but their horizontal scales of 10^2 to 10^5 meters cannot be fully resolved even by the highest resolution climate prediction systems. Furthermore, many of their sources, including convection and frontogenesis, are themselves not directly represented. Their impacts must therefore be approximated, or parameterized, based on resolved flow variables. The availability of new observations has raised hopes for a data driven approach to the representation of gravity waves.