Thursday, March 7, 2013

[Comp-neuro] Summer School/Creative Workshop: Data Assimilation & Inverse Problems - From Weather Forecasting to Neuroscience

(Please note: the following workshop will happen just after the CNS*2013 conference in Paris, and the University of Reading is about an hour of travel away from London Heathrow. So this could be an interesting detour if you are flying in from overseas to attend CNS*2013 anyhow. The workshop is focusing on methods and as the subtitle makes clear, neuroscientists are very welcome. - Ingo)

Summer School/Creative Workshop

Data Assimilation & Inverse Problems

From Weather Forecasting to Neuroscience

July 22-26, 2013, University of Reading, United Kingdom

Data Assimilation is concerned with the reconstruction of the state of a dynamical system from measured data. It is usually employed in a cycled way, where data are used to correct or guide the dynamical system step by step, while forecasts are generated on a desired time grid. This is a key ingredient for important applications, for example for Numerical Weather Prediction (NWP) or predictions of Climate Change, but it is also increasingly employed in medical and industrial applications.

The Summer School and Creative Workshop on Data Assimilation and Inverse Problems at the University of Reading provides an introduction into the key concepts and techniques in the field both in algorithmic developments as well as important applications. In a framework which consists of introductory lectures by selected international experts in the field we aim to have time for mutual exchange and discussions in a relaxed and stimulating atmosphere at the green campus of the University of Reading.

Lecturers include: Steven Schiff, Dennis McLaughlin, Takemasa Miyoshi, Tijana Janjic-Pfander, Roland Potthast, Peter-Jan van Leeuwen, Sarah Dance, Jochen Broecker, Nancy Nichols, Ingo Bojak, Hendrik Reich, Africa Perianez.
Local Organizers: Africa Perianez, Etienne Roesch, Ingo Bojak, Roland Potthast, Kelly Sloan and Douglas Saddy

Time Monday Tuesday Wednesday Thursday Friday
09:00-09:45
Special Lecture
Numerical Weather
Prediction I
Discussion time/Poster Special Lecture Weak constraint 4dVar
09:45-10:30
Special Lecture
Numerical Weather
Prediction II
Discussion time/Poster Special Lecture Discussion time/Poster

Coffee Coffee Coffee Coffee Coffee
11:00-11:45 Lecture 1:
DA Introduction
Lecture 3:
Variational DA I
3dVar and Stability
Lecture 5:
Variational DA II:
Adjoints and 4dVar
Lecture 7:
Ensemble Methods
Lecture 9:
Particle Filters I
11:45-12:30 Lecture 2:
Basics of
Inverse Problems
Lecture 4:
Kalman Filter
Lecture 6:
Covariances, Obs. and
Model Error
Lecture 8:
Localization Techniques
Lecture 10:
Particle Filters II

Lunch Lunch Lunch Lunch Finish
14:00-14:45 Discussion time/Poster Discussion time/Poster Special Lecture
Reservoir Modeling I
Discussion time/Poster
14:45-15:30 Discussion time/Poster Discussion time/Poster Special Lecture
Reservoir Modeling II
Discussion time/Poster

Coffee Coffee Coffee Coffee
16:15-17:00 Special Lecture
Neuroscience I
Exercise:
Coding Examples
Discussion time/Poster Exercise:
Coding Examples

17:00-17:45 Special Lecture
Neuroscience II
Exercise:
Coding Examples
Discussion time/Poster Exercise: Coding Examples

18:00 Icebreaker

Joint Dinner

Fee for Participants GBP 50,-. Lunches and Coffee will be provided. Please register before May 31st by email with Africa Perianez: a.perianez@pgr.reading.ac.uk. Poster contributions welcome, reserve space before May 31st!

For more infos see: PDF Flyer

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