Abstract
Advances in computational power and model development have enabled the generation of global high-resolution models. These new models can resolve a large proportion of gravity waves (GWs) explicitly, reducing reliance on subgrid parametrizations. GWs are vital components of the middle and upper atmosphere, they transport energy and momentum both horizontally and vertically, driving the atmospheric circulation. Evaluating the realism of these resolved waves is a crucial step in advancing future model development. Here we provide the first global multi-model GW observational comparison that accounts for the observational filter. We assess the representation of stratospheric GWs in three high-resolution (3–5 km horizontal resolution) global free-running simulations (ICON, IFS and GEOS), for the period 20 January–29 February 2020, against AIRS satellite observations. Time-mean wave amplitudes are systematically lower in the models than observations, consistent with previous studies. GW occurrence rates are higher in all models than the observations, dominated by low amplitude waves in the models. During the first 10 d spatial patterns of GW occurrence rate, amplitudes and momentum flux agree across the models and observations but subsequently they diverge. Agreement is more consistent in the Northern Hemisphere (where orographic waves dominate) than in the Southern Hemisphere (where convective waves dominate). These results benchmark the current state of high-resolution modelling and demonstrate that whilst there are strengths in models' ability to capture the morphology of GWs (particularly orographically generated waves), there is room for improvement in modelling amplitudes, occurrence rates and zonal-mean flux magnitudes globally, with the largest discrepancies in the tropical convective regions.
| Original language | English |
|---|---|
| Pages (from-to) | 7607-7630 |
| Number of pages | 24 |
| Journal | Atmospheric Chemistry and Physics |
| Volume | 26 |
| Issue number | 10 |
| Early online date | 29 May 2026 |
| DOIs | |
| Publication status | Published - 31 May 2026 |
Bibliographical note
Publisher Copyright:© 2026 Phoebe Noble et al.
Data Availability Statement
The DYAMOND model simulations are available at https://easy.gems.dkrz.de/DYAMOND/index.html#getting-the-data (last access: 26 May 2026). The 3D AIRS temperature retrieval used in this work is described in Hoffmann and Alexander (2009) and is available at https://doi.org/10.26165/JUELICH-DATA/LQAAJA (Hoffmann, 2021). ERA5 reanalysis used is also publicly available at https://doi.org/10.24381/cds.bd0915c6 (Copernicus Climate Change Service, 2022).Acknowledgements
DYAMOND data management was provided by the German Climate Computing Center (DKRZ) and supported through the projects ESiWACE and ESiWACE2.Funding
This research has been supported by the International Space Science Institute (grant no. 567), the European Union's Horizon 2020 (grant nos. 675191 and 823988), the Deutsches Klimarechenzentrum (grant nos. bk1040 and bb1153), the Natural Environment Research Council (grant nos. NE/V01837X/1, NE/W003201/1, NE/S00985X/1, NE/Z50399X/1, and NE/X017842/1), the Royal Society (grant no. URF/R/221023), and the National Aeronautics and Space Administration (grant no. 80NSSC23K1311).
ASJC Scopus subject areas
- Atmospheric Science
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