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|a 10.1029/2023JD040097
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024 7 _ |2 ISSN
|a 2156-2202
024 7 _ |2 ISSN
|a 2169-897X
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|a 2169-8996
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|a 10.34734/FZJ-2024-03577
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037 _ _ |a FZJ-2024-03577
041 _ _ |a English
082 _ _ |a 550
100 1 _ |0 P:(DE-HGF)0
|a Lear, Emily J.
|b 0
|e Corresponding author
245 _ _ |a Comparing Gravity Waves in a Kilometer‐Scale Run of the IFS to AIRS Satellite Observations and ERA5
260 _ _ |a Hoboken, NJ
|b Wiley
|c 2024
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520 _ _ |a Atmospheric gravity waves (GWs) impact the circulation and variability of the atmosphere. Sub-grid scale GWs, which are too small to be resolved, are parameterized in weather and climate models. However, some models are now available at resolutions at which these waves become resolved and it is important to test whether these models do this correctly. In this study, a GW resolving run of the European Center for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), run with a 1.4 km average grid spacing (TCo7999 resolution), is compared to observations from the Atmospheric Infrared Sounder (AIRS) instrument, on NASA's Aqua satellite, to test how well the model resolves GWs that AIRS can observe. In this analysis, nighttime data are used from the first 10 days of November 2018 over part of Asia and surrounding regions. The IFS run is resampled with AIRS's observational filter using two different methods for comparison. The ECMWF ERA5 reanalysis is also resampled as AIRS, to allow for comparison of how the high resolution IFS run resolves GWs compared to a lower resolution model that uses GW drag parametrizations. Wave properties are found in AIRS and the resampled models using a multi-dimensional S-Transform method. Orographic GWs can be seen in similar locations at similar times in all three data sets. However, wave amplitudes and momentum fluxes in the resampled IFS run are found to be significantly lower than in the observations. This could be a result of horizontal and vertical wavelengths in the IFS run being underestimated.
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|a Wright, Corwin J.
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|a Hindley, Neil P.
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|a Polichtchouk, Inna
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