Mathematics and Statistics lie at the heart of our ability to model and predict climatic variations. CliMathNet is an initiative that aims to break down barriers between researchers in the Mathematical Sciences and those in Climate Sciences. Members of this academic network are working on a range of novel mathematical techniques to approach some of the most challenging questions in Climate Science.
We encourage Mathematics, Statistics and Climate Science to interact more in solving some of society’s most pressing questions. We welcome new subscribers to our newsletter as well as proposals for future CliMathNet meetings.
CliMathNet is a network which aims to bring together Climate Scientists, Mathematicians and Statisticians to answer the key questions around Climate modelling (in particular understanding and reducing uncertainties in observation and prediction).This is an area of science that ranges from numerical weather prediction to the science underpinning the Intergovernmental Panel for Climate Change (IPCC). Challenges include: Improving Climate Models, Improving Climate Reconstructions, Initialising Climate Projections, Quantifying Uncertainty in Ensembles of Climate Models, Forecasting Tipping Points and Comprehensive Climate Risk Analysis.
Research promoted by this network is having significant scientific impact in the interdisciplinary area of climate change research as well as in mathematical sciences. The challenges of climate modelling and analysis are of fundamental importance to a range of academic disciplines, from environmental engineering to social sciences. Past network events include dissemination aspects, policy-focussed workshops and academic workshops. Results from projects tackled by network members will be published in relevant journals, in national and international conferences and workshops. The project aims to bring much-needed expertise to address the sources of uncertainty in climate predictions and to develop the new mathematics and statistics to do this.
You can visit our JISCmail registration page to sign up for the CliMathNet newsletter.