% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Jackson:844624,
author = {Jackson, D. R. and Gadian, A. and Hindley, N. P. and
Hoffmann, L. and Hughes, J. and King, J. and Moffat-Griffin,
T. and Moss, A. C. and Ross, A. N. and Vosper, S. B. and
Wright, C. J. and Mitchell, N. J.},
title = {{T}he {S}outh {G}eorgia {W}ave {E}xperiment ({SG}-{WEX})
– a means for improved analysis of gravity waves and
low-level wind impacts generated from mountainous islands},
journal = {Bulletin of the American Meteorological Society},
volume = {99},
issn = {1520-0477},
address = {Boston, Mass.},
publisher = {ASM},
reportid = {FZJ-2018-02023},
pages = {1027–1040},
year = {2018},
abstract = {Gravity waves (GWs) play an important role in many
atmospheric processes. However, the observation-based
understanding of GWs is limited, and representing them in
numerical models is difficult. Recent studies show that
small islands can be intense sources of GWs, with
climatologically significant effects on the atmospheric
circulation. South Georgia, in the South Atlantic, is a
notable source of such “small island” waves. GWs are
usually too small scale to be resolved by current models, so
their effects are represented approximately using resolved
model fields (parameterization). However, the small-island
waves are not well represented by such parameterizations,
and the explicit representation of GWs in
very-high-resolution models is still in its infancy. Steep
islands such as South Georgia are also known to generate
low-level wakes, affecting the flow hundreds of kilometers
downwind. These wakes are also poorly represented in
models.We present results from the South Georgia Wave
Experiment (SG-WEX) for 5 July 2015. Analysis of GWs from
satellite observations is augmented by radiosonde
observations made from South Georgia. Simulations were also
made using high-resolution configurations of the Met Office
Unified Model (UM). Comparison with observations indicates
that the UM performs well for this case, with realistic
representation of GW patterns and low-level wakes.
Examination of a longer simulation period suggests that the
wakes generally are well represented by the model. The
realism of these simulations suggests they can be used to
develop parameterizations for use at coarser model
resolutions.},
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:000433893400012},
doi = {10.1175/BAMS-D-16-0151.1},
url = {https://juser.fz-juelich.de/record/844624},
}