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@ARTICLE{Lear:1027009,
author = {Lear, Emily J. and Wright, Corwin J. and Hindley, Neil P.
and Polichtchouk, Inna and Hoffmann, Lars},
title = {{C}omparing {G}ravity {W}aves in a {K}ilometer‐{S}cale
{R}un of the {IFS} to {AIRS} {S}atellite {O}bservations and
{ERA}5},
journal = {JGR / Atmospheres},
volume = {129},
number = {11},
issn = {0148-0227},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2024-03577},
pages = {e2023JD040097},
year = {2024},
abstract = {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.},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001238765700001},
doi = {10.1029/2023JD040097},
url = {https://juser.fz-juelich.de/record/1027009},
}