Projects per year
Personal profile
Research interests
I have broad research interests in interdisciplinary industrial and applied mathematics with a particular interest in complex nonlinear problems arising in real applications. Typically these involve the solution (analytically or numerically) of partial differential equations. A large amount of my work for the last ten years has been in numerical weather prediction and data assimilation in close collaboration with the Met Office (which I visit very frequently). My algorithms are now incorporated into the Met Office operational weather forecasting code where they have made a significant difference to their accuracy and received a Knowledge Transfer Award. I am also working on climate modelling using modern mathematical and computational methods and am actively involved in a number of international climate modelling networks, including CliMathNet which I co-direct and the Maths of Planet Earth programme. I also collaborate with the energy industry, the aerospace industry, the telecommunications industry and the food industry. Anywhere that maths can be applied is of interest to me.
Public Understanding of Science and Engagement
I believe very strongly indeed that the excitement and importance of mathematics and science should be communicated to as wide an audience as possible. I am actively involved in doing this, both in developing programmes with young people through my positions of Prof of Mathematics at the Royal Institution and my vice-presidentship of the Institute of Mathematics and its Applications, and in directing the Bath Taps Into Science Festival. My recent projects include two Citizen Science Projects in Climate Science and I am also working closely with Policy Makers involved in climate science. The latter has involved regular discussion/policy meetings with senior civil servants through the CliMathNet network, and also in running programmes on climate science with the British Science Association, the Science Museum and the Royal Institution.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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REMODEL - Research Exchanges in the Mathematics of Deep Learning with Applications (Other JeS Guarantee Calls)
Ehrhardt, M. (PI) & Budd, C. (CoI)
1/05/24 → 30/04/28
Project: EU Commission
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Programme Grant: Mathematics of Deep Learning
Budd, C. (PI) & Ehrhardt, M. (CoI)
Engineering and Physical Sciences Research Council
31/01/22 → 30/01/27
Project: Research council
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Electro-mechanical modelling
Budd, C. (PI) & Ehrhardt, B. (Researcher)
1/03/24 → 30/06/24
Project: Central government, health and local authorities
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NeuvilleGridData Follow up
Budd, C. (PI) & Chen, C. (Researcher)
1/01/24 → 30/06/24
Project: Research council
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Sanispecrtra Inverse Problems
Budd, C. (PI), Gazzola, S. (CoI) & Chen, C. (Researcher)
1/01/24 → 31/03/24
Project: Research council
Research output
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Conceptual climate modelling
Krauskopf, B., Keane, A. & Budd, C., 30 Nov 2024, In: Physica D: Nonlinear Phenomena. 468, 134285.Research output: Contribution to journal › Editorial › peer-review
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Dynamic tipping and cyclic folds, in a one-dimensional non-smooth dynamical system linked to climate models
Budd, C. & Kuske, R., 31 Jan 2024, In: Physica D: Nonlinear Phenomena. 457, 15 p., 133949.Research output: Contribution to journal › Article › peer-review
Open Access -
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Appella, S., Arridge, S., Budd, C., Deveney, T. & Kreusser, L. M., 2 Jul 2024.Research output: Working paper / Preprint › Preprint
File26 Downloads (Pure) -
Scale-aware parameterization of cloud fraction and condensate for a global atmospheric model machine-learnt from coarse-grained kilometer-scale simulations
Morcrette, C., Cave, T., Reid, H., da Silva Rodrigues, J., Deveney, T., Kreusser, L. M., Van Weverberg, K. & Budd, C., 25 Aug 2024, ESS Open Archive, 51 p.Research output: Working paper / Preprint › Preprint
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Climate, chaos and covid: How mathematical models describe the universe
Budd, C., 21 Mar 2023, Singapore: World Scientific Publishing Co. Pte Ltd. 295 p.Research output: Book/Report › Book
Activities
- 1 Public talk, lecture, debate, seminar, workshop
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Maths4DL "Dynamics, Data and Deep Learning" workshop
Foster, J. (Organiser), Budd, C. (Organiser), Lake, H. (Organiser), Colbrook, M. (Organiser), Sandler, M. (Organiser), Abraham, K. (Organiser) & Szalai , R. (Organiser)
25 Mar 2024 → 26 Mar 2024Activity: Public, Community and School Engagement › Public talk, lecture, debate, seminar, workshop