[Forschungsseminar-BSV] Research Seminar 'Computer Graphics, Image Processing, and Visualization'

[Vanessa Kretzschmar]

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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