There will be a prize for the best student poster which will be awarded at the Conference.
Please submit your abstract to Emily Paremain (E.Paremain[at]exeter.ac.uk). We ask that abstracts are no longer than 500 words and if any special characters are to be included, please use LaTeX.
The deadline for abstract submission is 1st July 2017.
Those people submitting abstracts must have registered for the Conference for their abstract to be accepted.
The conference addresses emerging mathematical, computational and statistical techniques for understanding weather and climate. Areas of interest include:
- Stochastic and deterministic modelling
- Data/model fusion and assimilations
- Prediction and Predictability
- Climate variability and climate change
- Understanding future from past climatic conditions
- Extreme events and critical transitions
- Model reduction techniques and parameterisation
- Downscaling and post-processing
- Geophysical turbulence
- Statistical Mechanics of Climate
- Numerical Models
- High performance Computing
The conference will feature a special session dedicated to showcasing relevant research outputs of some UK-based graduate schools. This event is a collaboration of CliMathNet, of the Centre for the Mathematics of Planet Earth of the University of Reading, and of the Mathematics of Planet Earth Centre for Doctoral Training.
Invited speakers include:
- Freddy Bouchet
- Mickael Chekroun
- Davide Faranda
- Ulrike Feudel
- Hayley Fowler
- Andrey Gritsun
- Wilco Hazeleger
- Eugenia Kalnay
- Christian Kuehn
- Philippe Naveau
- Peter Read
- Stéphane Vannitsem
Registration for the Conference is now open and can be booked at the University of Reading online store. https://registration.venuereading.com/CliMathNet
The deadline for registration is 11th August 2017.
Premium ensuite accommodation in University halls is available for booking during the conference if you require it, and the Conference dinner will be held on the evening of 29th August 2017. The accommodation and the Conference dinner can be booked during the registration process using the online store.