Stochastic parameterisation models for GFD
This talk is about estimating model error as a measure of reliability and robustness in numerical weather prediction and climate science, via a stochastic variational principle. One of the questions it answers is, “How does stochasticity affect the Kelvin circulation theorem?” The methods apply widely in GFD. Examples will be given.
Date:
10 May 2016, 14:15 (Tuesday, 3rd week, Trinity 2016)
Venue:
Atmospheric, Oceanic and Planetary Physics, off Parks Road OX1 3PU
Venue Details:
Dobson Lecture Room
Speaker:
Darryl Holm (Imperial College London)
Organising department:
Department of Physics
Organiser:
Andrew Wells (Atmospheric, Oceanic & Planetary Physics, University of Oxford; & Wolfson College)
Part of:
Geophysical & Nonlinear Fluid Dynamics Seminars
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Andrew Wells
