CliMathNet Conference 2017

CliMathNet Conference 2017

The Fifth Annual CliMathNet Conference will be held at the Henley Business School, Whiteknights Campus at the University of Reading, from 29th August to 1st September 2017.

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.

Registration (deadline is the 11th August, 2017)

Registration for the Conference is now open and can be booked through the University of Reading online store:

Further information about the Conference and the registration fees is available on the CliMathNet website:


We are currently inviting abstracts for both oral presentations and for posters. There will be a prize for the best student poster which will be awarded at the Conference.

Please submit your abstract to Emily Paremain ( 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.




Activities and events

European Geosciences Union General Assembly 2017, Vienna, Austria 23-28 April,

The following session will be held:Communication of uncertain information in earth sciences: data, models and visualization


Information in the earth sciences is supplied to many end users, including regulators, policy makers and the general public.  It is important that these end users understand the uncertainties in information so that they can make robust decisions.  Much effort has been put into quantitative methods to describe the uncertainty in environmental information, but the outputs these generate (probabilities, confidence intervals etc.) are not always understood by the end user.  Effective communication of uncertain information is an important challenge, and one which must be tackled collaboratively by earth scientists, statisticians, psychologists and others.  In 2015 and 2016 there were successful sessions held at EGU to bring together scientists with a range of backgrounds to consider these issues.  We believe that the area remains a lively and important one, and want to  continue the discussion.  We therefore invite you to consider submitting an abstract to the session.  Enquiries to