[Forschungsseminar-BSV] Research Seminar 'Computer Graphics, Image Processing, and Visualization'
Vanessa Kretzschmar
kretzschmar at informatik.uni-leipzig.de
Mi Mär 10 14:19:55 CET 2021
Attention:
- different room
- more than one talk (increased duration possible)
I N V I T A T I O N
======================================================================
to the Research Seminar 'Computer Graphics, Image Processing, and
Visualization'
on Wednesday, March the 24th, 2021, at 01:15 PM,
via web conferencing.
(https://conf.informatik.uni-leipzig.de/b/kre-jky-vxf)
======================================================================
A talk will be given by
Dominik Vietinghoff
and is entitled:
'Visual Analysis of Spatio-Temporal Trends in Time-Dependent
Ensemble Data Sets on the Example of the North Atlantic Oscillation'
Abstract:
A driving factor of the winter weather in Western Europe is the North
Atlantic Oscillation (NAO), manifested by fluctuations in the
difference
of sea level pressure between the Icelandic Low and the Azores High.
Different methods have been developed that describe the strength of
this
oscillation, but they rely on certain assumptions, e.g., fixed
positions
of these two pressure systems. It is possible that climate change
affects
the mean location of both the Low and the High and thus the validity of
these descriptive methods. This study is the first to visually analyze
large ensemble climate change simulations (the MPI Grand Ensemble) to
robustly assess shifts of the drivers of the NAO phenomenon using the
uncertain northern hemispheric surface pressure fields. For this,
we use
a sliding window approach and compute empirical orthogonal functions
(EOFs) for each window and ensemble member, then compare the
uncertainty
of local extrema in the results as well as their temporal evolution
across different CO2 scenarios. We find systematic northeastward shifts
in the location of the pressure systems that correlate with the
simulated
warming. Applying visualization techniques for this analysis was not
straightforward; we reflect and give some lessons learned for the field
of visualization.
======================================================================
Another talk will be given by
Dominik Vietinghoff
and is entitled:
'An Extension of Empirical Orthogonal Functions for the Analysis of
Time-Dependent 2D Scalar Field Ensembles'
Abstract:
To assess the reliability of weather forecasts and climate simulations,
common practice is to generate large ensembles of numerical
simulations.
Analyzing such data is challenging and requires pattern and feature
detection. For single time-dependent scalar fields, empirical
orthogonal
functions (EOFs) are a proven means to identify the main variation. In
this paper, we present an extension of that concept to time-dependent
ensemble data. We applied our methods to two ensemble data sets from
climate research in order to investigate the North Atlantic Oscillation
(NAO) and East Atlantic (EA) pattern.
======================================================================
On behalf of Professor Scheuermann all those interested are cordially
invited to attend.
Yours sincerely
Vanessa Kretzschmar
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