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@ARTICLE{Hoffmann:811677,
author = {Hoffmann, Lars and Grimsdell, Alison W. and Alexander, M.
Joan},
title = {{S}tratospheric gravity waves at {S}outhern {H}emisphere
orographic hotspots: 2003–2014 {AIRS}/{A}qua observations},
journal = {Atmospheric chemistry and physics},
volume = {16},
number = {14},
issn = {1680-7324},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {FZJ-2016-04063},
pages = {9381 - 9397},
year = {2016},
abstract = {Stratospheric gravity waves from small-scale orographic
sources are currently not well-represented in general
circulation models. This may be a reason why many
simulations have difficulty reproducing the dynamical
behavior of the Southern Hemisphere polar vortex in a
realistic manner. Here we discuss a 12-year record
(2003–2014) of stratospheric gravity wave activity at
Southern Hemisphere orographic hotspots as observed by the
Atmospheric InfraRed Sounder (AIRS) aboard the National
Aeronautics and Space Administration's (NASA) Aqua
satellite. We introduce a simple and effective approach,
referred to as the “two-box method”, to detect gravity
wave activity from infrared nadir sounder measurements and
to discriminate between gravity waves from orographic and
other sources. From austral mid-fall to mid-spring
(April–October) the contributions of orographic sources to
the observed gravity wave occurrence frequencies were found
to be largest for the Andes $(90 \%),$ followed by the
Antarctic Peninsula $(76 \%),$ Kerguelen Islands
$(73 \%),$ Tasmania $(70 \%),$ New Zealand $(67 \%),$
Heard Island $(60 \%),$ and other hotspots
$(24–54 \%).$ Mountain wave activity was found to be
closely correlated with peak terrain altitudes, and with
zonal winds in the lower troposphere and mid-stratosphere.
We propose a simple model to predict the occurrence of
mountain wave events in the AIRS observations using zonal
wind thresholds at 3 and 750 hPa. The model has
significant predictive skill for hotspots where gravity wave
activity is primarily due to orographic sources. It
typically reproduces seasonal variations of the mountain
wave occurrence frequencies at the Antarctic Peninsula and
Kerguelen Islands from near zero to over $60 \%$ with mean
absolute errors of 4–5 percentage points. The prediction
model can be used to disentangle upper level wind effects on
observed occurrence frequencies from low-level source and
other influences. The data and methods presented here can
help to identify interesting case studies in the vast amount
of AIRS data, which could then be further explored to study
the specific characteristics of stratospheric gravity waves
from orographic sources and to support model validation.},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000381213300034},
doi = {10.5194/acp-16-9381-2016},
url = {https://juser.fz-juelich.de/record/811677},
}