Atmospheric gravity waves: Processes and parameterization

U Achatz, MJ Alexander, E Becker… - Journal of the …, 2024 - journals.ametsoc.org
Atmospheric predictability from subseasonal to seasonal time scales and climate variability
are both influenced critically by gravity waves (GW). The quality of regional and global …

Quantifying 3D gravity wave drag in a library of tropical convection‐permitting simulations for data‐driven parameterizations

YQ Sun, P Hassanzadeh… - Journal of Advances …, 2023 - Wiley Online Library
Atmospheric gravity waves (GWs) span a broad range of length scales. As a result, the un‐
resolved and under‐resolved GWs have to be represented using a sub‐grid scale (SGS) …

Resolved Gravity Waves in the Extratropical Stratosphere: Effect of Horizontal Resolution Increase from O (10) to O (1) km

I Polichtchouk, A Van Niekerk… - Journal of the …, 2023 - journals.ametsoc.org
Global ECMWF IFS simulations with horizontal grid spacings of 1, 4, and 9 km are used to
assess gravity wave forcing (GWF) in the extratropical stratosphere. Results with important …

Multi‐step vertical coupling during the January 2017 sudden stratospheric warming

E Becker, L Goncharenko, VL Harvey… - Journal of Geophysical …, 2022 - Wiley Online Library
This study analyzes a simulation of the Arctic winter 2016–2017 with focus on multi‐step
vertical coupling (MSVC) by primary, secondary, and higher‐order gravity waves (GWs). We …

The mesoscale gravity wave response to the 2022 Tonga volcanic eruption: AIRS and MLS satellite observations and source backtracing

M Ern, L Hoffmann, S Rhode… - Geophysical Research …, 2022 - Wiley Online Library
Abstract On 15 January 2022, the Hunga Tonga–Hunga Ha'apai volcano erupted violently.
This exceptional event excited a manifold of atmospheric waves. Here, we focus on the …

Data imbalance, uncertainty quantification, and transfer learning in data‐driven parameterizations: Lessons from the emulation of gravity wave momentum transport in …

YQ Sun, HA Pahlavan, A Chattopadhyay… - Journal of Advances …, 2024 - Wiley Online Library
Neural networks (NNs) are increasingly used for data‐driven subgrid‐scale
parameterizations in weather and climate models. While NNs are powerful tools for learning …

MS-GWaM: A Three-Dimensional Transient Gravity Wave Parametrization for Atmospheric Models

GS Voelker, G Bölöni, YH Kim… - Journal of the …, 2024 - journals.ametsoc.org
Parameterizations for internal gravity waves in atmospheric models are traditionally subject
to a number of simplifications. Most notably, they rely on both neglecting wave propagation …

Emulating lateral gravity wave propagation in a global chemistry–climate model (EMAC v2. 55.2) through horizontal flux redistribution

R Eichinger, S Rhode, H Garny… - Geoscientific Model …, 2023 - gmd.copernicus.org
The columnar approach of gravity wave (GW) parameterisations in weather and climate
models has been identified as a potential reason for dynamical biases in middle …

[HTML][HTML] Intermittency of gravity wave potential energies and absolute momentum fluxes derived from infrared limb sounding satellite observations

M Ern, P Preusse, M Riese - Atmospheric Chemistry and Physics, 2022 - acp.copernicus.org
Atmospheric gravity waves contribute significantly to the driving of the global atmospheric
circulation. Because of their small spatial scales, their effect on the circulation is usually …

Estimates of Southern Hemispheric Gravity Wave Momentum Fluxes across Observations, Reanalyses, and Kilometer-Scale Numerical Weather Prediction Model

A Gupta, R Reichert, A Dörnbrack… - Journal of the …, 2024 - journals.ametsoc.org
Gravity waves (GWs) are among the key drivers of the meridional overturning circulation in
the mesosphere and upper stratosphere. Their representation in climate models suffers from …