6270
2017
eng
69
100
702
143
article
0
--
--
--
Large-eddy simulations over Germany using ICON: a comprehensive evaluation
Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) covering Germany are evaluated for four days in spring 2013 using observational data from various sources. Reference simulations with the established Consortium for Small-scale Modelling (COSMO) numerical weather prediction model and further standard LES codes are performed and used as a reference. This comprehensive evaluation approach covers multiple parameters and scales, focusing on boundary-layer variables, clouds and precipitation. The evaluation points to the need to work on parametrizations influencing the surface energy balance, and possibly on ice cloud microphysics. The central purpose for the development and application of ICON in the LES configuration is the use of simulation results to improve the understanding of moist processes, as well as their parametrization in climate models. The evaluation thus aims at building confidence in the model's ability to simulate small- to mesoscale variability in turbulence, clouds and precipitation. The results are encouraging: the high-resolution model matches the observed variability much better at small- to mesoscales than the coarser resolved reference model. In its highest grid resolution, the simulated turbulence profiles are realistic and column water vapour matches the observed temporal variability at short time-scales. Despite being somewhat too large and too frequent, small cumulus clouds are well represented in comparison with satellite data, as is the shape of the cloud size spectrum. Variability of cloud water matches the satellite observations much better in ICON than in the reference model. In this sense, it is concluded that the model is fit for the purpose of using its output for parametrization development, despite the potential to improve further some important aspects of processes that are also parametrized in the high-resolution model.
Quarterly Journal of the Royal Meteorological Society
10.1002/qj.2947
yes
Rieke Heinze
Hans-Christian Hege
Anurag Dipankar
Cintia Carbajal Henken
Christopher Moseley
Odran Sourdeval
Silke Trömel
Xinxin Xie
Panos Adamidis
Felix Ament
Holger Baars
Christian Barthlott
Andreas Behrendt
Ulrich Blahak
Sebastian Bley
Slavko Brdar
Matthias Brueck
Susanne Crewell
Hartwig Deneke
Paolo Di Girolamo
Raquel Evaristo
Jürgen Fischer
Christopher Frank
Petra Friederichs
Tobias Göcke
Ksenia Gorges
Luke Hande
Moritz Hanke
Akio Hansen
Hans-Christian Hege
Corinna Hose
Thomas Jahns
Norbert Kalthoff
Daniel Klocke
Stefan Kneifel
Peter Knippertz
Alexander Kuhn
Thriza van Laar
Andreas Macke
Vera Maurer
Bernhard Mayer
Catrin I. Meyer
Shravan K. Muppa
Roeland A. J. Neggers
Emiliano Orlandi
Florian Pantillon
Bernhard Pospichal
Niklas Röber
Leonhard Scheck
Axel Seifert
Patric Seifert
Fabian Senf
Pavan Siligam
Clemens Simmer
Sandra Steinke
Bjorn Stevens
Kathrin Wapler
Michael Weniger
Volker Wulfmeyer
Günther Zängl
Dan Zhang
Johannes Quaas
Visual Data Analysis
Visual Data Analysis in Science and Engineering
Hege, Hans-Christian
HD(CP)2
Visual and Data-centric Computing
1100
eng
reportzib
0
2008-12-10
2008-12-10
--
Interior Point Methods in Function Space for State Constraints - Inexact Newton and Adaptivity
We consider an interior point method in function space for PDE constrained optimal control problems with state constraints. Our emphasis is on the construction and analysis of an algorithm that integrates a Newton path-following method with adaptive grid refinement. This is done in the framework of inexact Newton methods in function space, where the discretization error of each Newton step is controlled by adaptive grid refinement in the innermost loop. This allows to perform most of the required Newton steps on coarse grids, such that the overall computational time is dominated by the last few steps. For this purpose we propose an a-posteriori error estimator for a problem suited norm.
09-01
1438-0064
1139
urn:nbn:de:0297-zib-11007
A rev. vers. appeared u. the title "An interior point algorithm with inexact step computation in function space for state constrained optimal control" in: Numerische Mathematik 119(2): 373-407(2011)
Anton Schiela
unknown unknown
Andreas Günther
ZIB-Report
09-01
eng
uncontrolled
interior point methods
eng
uncontrolled
function space
eng
uncontrolled
adaptivity
eng
uncontrolled
state constraints
Mathematik
Methods based on necessary conditions
Interior-point methods
Numerical Mathematics
https://opus4.kobv.de/opus4-zib/files/1100/ZR_09_01.pdf
1309
eng
reportzib
0
2011-06-14
2011-06-14
--
Direct LDDMM of Discrete Currents with Adaptive Finite Elements
We consider Large Deformation Diffeomorphic Metric Mapping of general $m$-currents. After stating an optimization algorithm in the function space of admissable morph generating velocity fields, two innovative aspects in this framework are presented and numerically investigated: First, we spatially discretize the velocity field with conforming adaptive finite elements and discuss advantages of this new approach. Second, we directly compute the temporal evolution of discrete $m$-current attributes.
11-22
urn:nbn:de:0297-zib-13090
10.1007/s11263-012-0599-3
An extended version appeared under the title "Flexible Shape Matching with Finite Element Based LDDMM" in: International Journal of Computer Vision November 2013, Volume 105, Issue 2, pp 128-143
Andreas Günther
Andreas Günther
Hans Lamecker
Martin Weiser
ZIB-Report
11-22
eng
uncontrolled
Large Deformation
eng
uncontrolled
Diffeomorphic Registration
eng
uncontrolled
Matching
eng
uncontrolled
Currents
eng
uncontrolled
Adaptive Finite Elements
Homeomorphisms and diffeomorphisms of planes and surfaces
Optimal control problems involving partial differential equations
Currents [See also 32C30, 53C65]
Correspondences and other transformation methods (e.g. Lie- Bäcklund) [See also 35A22]
Finite elements, Rayleigh-Ritz and Galerkin methods, finite methods
Numerical Mathematics
Visual Data Analysis
Computational Medicine
Therapy Planning
Lamecker, Hans
Weiser, Martin
MATHEON-F2
Visual and Data-centric Computing
https://opus4.kobv.de/opus4-zib/files/1309/ZIB-Report11-22_GLW-LDDMMwithAFEM.pdf
2379
2011
2011
eng
373
407
2
119
article
Springer Berlin / Heidelberg
0
--
--
--
An Interior Point Algorithm with Inexact Step Computation in Function Space for State Constrained Optimal Control
Numer. Math.
10.1007/s00211-011-0381-4
yes
Anton Schiela
Andreas Günther
Numerical Mathematics
Computational Medicine
4677
2011
eng
1
14
incollection
0
--
--
--
Direct LDDMM of Discrete Currents with Adaptive Finite Elements
We consider Large Deformation Diffeomorphic Metric Mapping of general $m$-currents. After stating an optimization algorithm in the function space of admissable morph generating velocity fields, two innovative aspects in this framework are presented and numerically investigated: First, we spatially discretize the velocity field with conforming adaptive finite elements and discuss advantages of this new approach. Second, we directly compute the temporal evolution of discrete $m$-current attributes.
Proceedings of the Third International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Modelling Biological Shape Variability
yes
urn:nbn:de:0297-zib-13090
Andreas Günther
X. Pennec
Martin Weiser
Hans Lamecker
S. Joshi
Martin Weiser
M. Nielsen
Numerical Mathematics
Visual Data Analysis
Computational Medicine
Therapy Planning
Lamecker, Hans
Weiser, Martin
MATHEON-F2
Visual and Data-centric Computing
4657
2013
eng
128
143
2
105
article
0
--
--
--
Flexible Shape Matching with Finite Element Based LDDMM
We consider Large Deformation Diffeomorphic Metric Mapping of general $m$-currents. After stating an optimization algorithm in the function space of admissable morph generating velocity fields, two innovative aspects in this framework are presented and numerically investigated: First, we spatially discretize the velocity field with conforming adaptive finite elements and discuss advantages of this new approach. Second, we directly compute the temporal evolution of discrete $m$-current attributes.
International Journal of Computer Vision
10.1007/s11263-012-0599-3
yes
urn:nbn:de:0297-zib-13090
Andreas Günther
Martin Weiser
Hans Lamecker
Martin Weiser
Numerical Mathematics
Computational Medicine
Lamecker, Hans
Weiser, Martin
MATHEON-F2
5578
2016
eng
127
132
40
conferenceobject
0
--
--
--
Sustainable Welding Process Selection based on Weight Space Partitions
Procedia CIRP
10.1016/j.procir.2016.01.077
yes
13th Global Conference on Sustainable Manufacturing - Decoupling Growth from Resource Use
Gunther Sprösser
Sebastian Schenker
Sebastian Schenker
Andreas Pittner
Ralf Borndörfer
Michael Rethmeier
Ya-Ju Chang
Matthias Finkbeiner
Mathematical Optimization
Borndörfer, Ralf
CRC1026