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Details of Grant 

EPSRC Reference: EP/Y03533X/1
Title: EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation
Principal Investigator: Crisan, Professor D
Other Investigators:
Broecker, Dr J Naveira Garabato, Professor A Veraart, Professor AED
Scott, Professor JA
Researcher Co-Investigators:
Project Partners:
Amigo Climate Australian National University (ANU) British Geological Survey
Brown University Capital Fund Management CCell Renewables Ltd
Changing Planet Solutions CNRS Group Colorado State University
Deutscher Wetterdienst ECMWF EDF
European Space Agency (UK) French Inst for Ocean Science IFREMER Gran Sasso Science Institute
H R Wallingford Ltd Hewlett Packard Enterprise INRIA (Rennes)
Inst for Advanced Studies IUSS Pavia Institute for Environmental Analytics Keio University
LSCE - IPSL-CNRS CEA Saclay Martingale Foundation Max Planck Institutes
Met Office Moody's RMS Nat Oceanic and Atmos Admin NOAA
National Centre for Atmospheric Science National Centre for Earth Observation National Oceanography Centre
Natural History Museum NERC Grouped Ocean Data Science Labs Limited
Shell The Anglian Water@One Alliance University Carlos III of Madrid
University of British Columbia (UBC) University of Grenoble 1 University of New South Wales
University of Potsdam University of Rome II (Tor Vergata) University of Texas at Austin
Verisk Analytics Limited Wave Mining Solutions Ltd Woods Hole Oceanographic Inst
XTX Markets
Department: Mathematics
Organisation: Imperial College London
Scheme: Centre for Doctoral Training
Starts: 01 April 2024 Ends: 30 September 2032 Value (£): 8,809,974
EPSRC Research Topic Classifications:
Continuum Mechanics Numerical Analysis
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Environment Financial Services
Energy Information Technologies
Water
Related Grants:
Panel History:
Panel DatePanel NameOutcome
20 Nov 2023 EPSRC Centres for Doctoral Training Interview Panel J November 2023 Announced
Summary on Grant Application Form


Global climate change threatens our future. Urgent societal action is demanded. However, crucial uncertainties regarding the future climate still need to be addressed. Extreme climate events are wreaking enormous environmental, societal, and economic tolls and they are becoming increasingly common and intense. The huge number of uncertainties related to our future climate combine with the sensitivity of the Earth's climate system to create extremely demanding challenges. Extending our understanding for deriving effective solutions demands interdisciplinary collaboration to determine the dominant factors in climate change. Currently, there is a lack of highly qualified mathematicians with the necessary training and experience to address the diverse problems and urgent challenges posed by climate change using computational and data-driven research.

Our Centre for Doctoral Training (CDT) will train new cohorts of PhD students and build a scientific community to address the grand mathematical challenges raised by the significant levels of uncertainty in our future climate. The mission of our CDT will be to prepare graduates with strong mathematics, physics and engineering backgrounds to apply their skills in mathematical modelling, scientific computing, statistics and machine learning to key climate-related problems in oceanic, atmospheric and engineering contexts. By bringing together leading experts from Imperial College London, the University of Reading and the University of Southampton along with a wide range of external partners, our CDT will be uniquely placed to equip future mathematicians with the tools required to address global climate uncertainties.

Our CDT will achieve its goals by developing the mathematics and its applications that are required to understand, better predict and, ultimately, respond to impending changes in the Earth's climate and the associated risks. A particular emphasis will be the creation of a vibrant environment to integrate strong cross-disciplinary engagement and collaboration, both within and between cohorts and disciplines, in advancing the range of scientific techniques, fundamental theories, approaches and applications. This will include engaging with academics, government organisations, industry and the public. As a result, the development of outstanding skills in mathematics and science communication will be a priority. The collaborative and peer-to-peer interactions will help develop the complementary techniques and approaches that will underpin essential technical research and innovation and will be coupled with exciting opportunities to discover and advance fundamental mathematics to provide practical solutions in climate science and beyond.

Our CDT will act as a seed for growing the capability and capacity to inform decisions and efforts related to climate change on a rapid timescale. The technical focus of our CDT will be enhanced by activities to appreciate the social, political and economic dimensions of societal response to climate change. Furthermore, sustained efforts to mitigate and adapt to climate change will be required during the coming decades. For this reason, along with building a professional community of graduates, the CDT will invest in imaginative outreach programmes involving school pupils and undergraduates, building on opportunities through the institutions partnering with the CDT, including the Grantham Institute for Climate Change and the Environment, the National Oceanography Centre, the National Centre for Earth Observations, the UK Meteorological Office, the European Centre for Medium-Range Weather Forecasts, and the Natural History Museum.
Key Findings
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Organisation Website: http://www.imperial.ac.uk