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@PHDTHESIS{Strube:892616,
author = {Strube, Cornelia},
title = {{G}ravity waves resolved in {N}umerical {W}eather
{P}rediction products},
volume = {549},
school = {Universität Wuppertal},
type = {Dissertation},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2021-02205},
isbn = {978-3-95806-567-3},
series = {Schriften des Forschungszentrums Jülich. Reihe Energie
$\&$ Umwelt / Energy $\&$ Environment},
pages = {iii, 139 S.},
year = {2021},
note = {Universität Wuppertal, Diss., 2021},
abstract = {Gravity waves are important drivers of global circulations
in the middle atmosphere. Amongst others they exert drag on
the background wind while breaking. Predictive atmospheric
simulations are usually based on general circulation models.
Those struggle to realistically represent small-scale
dynamics like gravity waves, because long time frames and
necessary computational efficiency restrict climate model
setups to coarse spatial resolutions. Therefore,
parametrisations are usually part of forecast model setups
of the atmosphere. Parametrisations refer to simplified
physical models for subgrid-scale processes including
gravity waves. Model studies have shown for instance that
missing gravity wave drag influences the global circulation
and leads to a systematically late breakdown of the
southern-hemispheric polar vortex. In contrast to climate
models, weather prediction systems have recently reached
operational spatial resolutions that are able to resolve a
large part of the gravity wave spectrum in the middle
atmosphere. Their products, hence, can be used to
investigate the generation and distribution of gravity waves
in critical regions like the southern polar vortex region
and improve future parametrisation schemes for climate
models. This thesis introduces an analysis concept for wave
characteristics and the propagation of resolved gravity
waves in operational fields from the European Centre for
Medium-Range Weather Prediction “Integrated Forecast
System” (IFS). The analysis of gravity waves in model data
as well as observations is complicated by the abundance of
different dynamic processes present in the atmosphere at the
same time. Characteristic patterns of inertial instabilities
and other wave-like phenomena have been misinterpreted as
gravity waves before. Therefore, this thesis focusses first
on the ability of different approaches to separate gravity
wave signals from the rest of the atmosphere. These methods
are referred to as “background removal” and are usually
based on the distinction of small- and large-scale phenomena
by spectral filtering along different spatial dimensions.
The comparison of a vertical and a horizontal filtering
approach showed that inertial instability structures are
easier separated from gravity waves by applying the
horizontal filtering.},
cin = {IEK-7},
cid = {I:(DE-Juel1)IEK-7-20101013},
pnm = {211 - Die Atmosphäre im globalen Wandel (POF4-211)},
pid = {G:(DE-HGF)POF4-211},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
url = {https://juser.fz-juelich.de/record/892616},
}