001     1050303
005     20260113204523.0
024 7 _ |a 10.5194/egusphere-2025-4878
|2 doi
024 7 _ |a 10.34734/FZJ-2026-00113
|2 datacite_doi
037 _ _ |a FZJ-2026-00113
100 1 _ |a Noble, Phoebe
|0 0000-0001-6499-4620
|b 0
|e Corresponding author
245 _ _ |a Stratospheric gravity waves in three high-resolution models and AIRS satellite observations
260 _ _ |c 2025
336 7 _ |a Preprint
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336 7 _ |a WORKING_PAPER
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336 7 _ |a Electronic Article
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336 7 _ |a preprint
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336 7 _ |a ARTICLE
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520 _ _ |a 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 horizontal 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 20th January–29th February 2020, against AIRS satellite observations.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 days 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 hemispheric convective regions.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.
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588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Okui, Haruka
|0 0000-0002-1476-3362
|b 1
700 1 _ |a Alexander, Joan
|0 0000-0003-2495-3597
|b 2
700 1 _ |a Ern, Manfred
|0 P:(DE-Juel1)129117
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700 1 _ |a Hindley, Neil P.
|0 0000-0003-4377-2038
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700 1 _ |a Hoffmann, Lars
|0 P:(DE-Juel1)129125
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700 1 _ |a Holt, Laura
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700 1 _ |a van Niekerk, Annelize
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700 1 _ |a Plougonven, Riwal
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700 1 _ |a Polichtchouk, Inna
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700 1 _ |a Stephan, Claudia C.
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|b 10
700 1 _ |a Bramberger, Martina
|0 P:(DE-HGF)0
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700 1 _ |a Corcos, Milena
|0 P:(DE-HGF)0
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700 1 _ |a Putnam, William
|0 P:(DE-HGF)0
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700 1 _ |a Kruse, Christopher
|0 P:(DE-HGF)0
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700 1 _ |a Wright, Corwin J.
|0 0000-0003-2496-953X
|b 15
773 _ _ |a 10.5194/egusphere-2025-4878
856 4 _ |u https://juser.fz-juelich.de/record/1050303/files/egusphere-2025-4878.pdf
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909 C O |o oai:juser.fz-juelich.de:1050303
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|l Erde im Wandel – Unsere Zukunft nachhaltig gestalten
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|v Die Atmosphäre im globalen Wandel
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913 1 _ |a DE-HGF
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915 _ _ |a OpenAccess
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915 _ _ |a Creative Commons Attribution CC BY 4.0
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)ICE-4-20101013
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