The CSSI program of the US NSF brings together various researchers once a year to discuss programs for building up cyberinfrastructure, the codes and datasets that make scientific progress possible.

Abstract

Gravity waves are ubiquitous in stratified fluids, from latte macchiatos to Earth’s atmosphere. Not to be confused with Einstein’s gravitational waves, the name stems from the fact that gravity is the restoring force enabling the transmission of these waves. Gravity waves of scales 1-100 km are too small to be represented in state-of-the-art atmospheric models, but play a critical role in the planetary scale circulation, transporting momentum from the surface to the free atmosphere. Without them, the jet streams will be too strong and in the wrong place, rendering weather forecasts or climate projections next to useless. This poster highlights advances we have made in our effort to secure observational constraints on gravity wave momentum transport, high resolution simulations to fully capture their effects, and machine learning techniques to efficiently represent them in atmospheric models used for climate and weather prediction.