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).
1. To break down barriers between mathematical scientists and climate scientists and ensure that mathematical scientists are working alongside climate scientists to address both nationally and internationally important climate modelling issues.
2. To generate the research questions in the mathematical sciences needed to address outstanding problems in climate modelling in ways that are informed by, and that inform, policy making.
3. To provide high quality information to the wider public on the role of mathematical sciences in the climate change debate.
1. Improving Climate Models
2. Improving Climate Reconstructions
3. Initialising Climate Projections
4. Quantifying Uncertainty in Ensembles of Climate Models
5. Forecasting Tipping Points
6. Comprehensive Climate Risk Analysis
Research promoted by this network is expected to have significant scientific impact in the interdisciplinary area of climate change research as well as on the mathematical sciences by bringing them closer together. The challenges of climate modelling and analysis are of fundamental importance to a range of academic disciplines, from environmental engineering to social sciences. The network events will 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.