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@ARTICLE{Berthelemy:1048842,
author = {Berthelemy, Peter G. and Wright, Corwin J. and Hindley,
Neil P. and Noble, Phoebe E. and Hoffmann, Lars},
title = {{A} novel identification method for stratospheric gravity
waves in nadir viewing satellite observations},
journal = {Atmospheric chemistry and physics},
volume = {25},
number = {23},
issn = {1680-7316},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2025-04947},
pages = {17595 - 17611},
year = {2025},
abstract = {Atmospheric gravity waves (GWs) are an important mechanism
for vertical transport of energy and momentum through the
atmosphere. Their impacts are apparent at all scales,
including aviation, weather, and climate. Identifying
stratospheric GWs from satellite observations is challenging
due to instrument noise and effects of weather processes,
but they can be observed from nadir sounders such as the
AIRS instrument onboard Aqua. Here, a new method (hereafter
“neighbourhood method”) to detect GW information is
presented and applied to AIRS data. This uses a variant of
the 3D S-transform to calculate the horizontal wavenumbers
of temperature perturbations, then find areas of spatially
constant horizontal wavenumbers (assumed to be GWs), which
allow for creating a binary wave-presence mask. We describe
the concept of the neighbourhood method and use it to
investigate GW amplitudes, zonal pseudomomentum fluxes, and
vertical wavelengths over 5 years of AIRS data. We compare
these results to those calculated from GWs detected using
another widely used method based on an amplitude cutoff.
$35 \%$ of regions of wave activity detected using the
neighbourhood method have amplitudes lower than is visible
using the amplitude cutoff method. Three regions are studied
in greater depth: the Rocky Mountains, North Africa, and New
Zealand/Tasmania. GWs detected using the neighbourhood
method have wave phase propagation angles consistent with
linear theory. Using the neighbourhood method produces new
statistics for regional and global GW studies, which compare
favourably to the amplitude cutoff GW detection method.},
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},
doi = {10.5194/acp-25-17595-2025},
url = {https://juser.fz-juelich.de/record/1048842},
}