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@ARTICLE{Orr:154412,
author = {Orr, A. and Hosking, J. S. and Hoffmann, L. and Keeble, J.
and Dean, S. M. and Roscoe, H. K. and Abraham, N. L. and
Vosper, S. and Braesicke, P.},
title = {{I}nclusion of mountain wave-induced cooling for the
formation of {PSC}s over the {A}ntarctic {P}eninsula in a
chemistry–climate model},
journal = {Atmospheric chemistry and physics / Discussions},
volume = {14},
number = {12},
issn = {1680-7375},
reportid = {FZJ-2014-03759},
pages = {18277 - 18314},
year = {2014},
abstract = {An important source of polar stratospheric clouds (PSCs),
which play a crucial role in controlling polar stratospheric
ozone depletion, is from the temperature fluctuations
induced by mountain waves. However, this formation mechanism
is usually missing in chemistry–climate models because
these temperature fluctuations are neither resolved nor
parameterised. Here, we investigate the representation of
stratospheric mountain wave-induced temperature fluctuations
by the UK Met Office Unified Model (UM) at high and low
spatial resolution against Atmospheric Infrared Sounder
satellite observations for three case studies over the
Antarctic Peninsula. At a high horizontal resolution (4 km)
the mesoscale configuration of the UM correctly simulates
the magnitude, timing, and location of the measured
temperature fluctuations. By comparison, at a low horizontal
resolution (2.5° × 3.75°) the climate configuration fails
to resolve such disturbances. However, it is demonstrated
that the temperature fluctuations computed by a mountain
wave parameterisation scheme inserted into the climate
configuration (which computes the temperature fluctuations
due to unresolved mountain waves) are in excellent agreement
with the mesoscale configuration responses. The
parameterisation was subsequently used to compute the local
mountain wave-induced cooling phases in the
chemistry–climate configuration of the UM. This increased
stratospheric cooling was passed to the PSC scheme of the
chemistry–climate model, and caused a $30–50\%$ increase
in PSC surface area density over the Antarctic Peninsula
compared to a 30 year control simulation.},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {411 - Computational Science and Mathematical Methods
(POF2-411)},
pid = {G:(DE-HGF)POF2-411},
typ = {PUB:(DE-HGF)16},
doi = {10.5194/acpd-14-18277-2014},
url = {https://juser.fz-juelich.de/record/154412},
}