Geophysical fluid dynamics; from mathematical theory to operational prediction
GFD
30 August 2022 to 23 September 2022
Programme theme
This programme is the inaugural 'INI@' Satellite Programme, and will take place at the University of Reading.
For more information about hosting a Satellite Programme, please visit www.newton.ac.uk/events/submitaproposal
A better understanding of the climate system is of great societal relevance, due to the importance of reliable environmental forecasts and the looming climate crisis. Recent scientific progress ranges from improving operational forecasting systems to abstract results on infinite dynamical systems. it is of vital importance to bring theses insights together in a proper interdisciplinary environment, which this programme aims to provide. With a focus on the fluid dynamical components of the climate system, practitioners will learn from mathematicians and statisticians about new tools and techniques to analyse these, while at the same time interesting new challenges for the mathematical community will emerge. The programme will address questions relating to geophysical fluid dynamics and forecasting, such as qualitative and statistical behaviour of geophysical models, response to deterministic and stochastic perturbations, sources of predictability at different spatial and temporal scales, forecast verification, and data assimilation. We will be taking both mathematical and statistical perspectives as well as applied and operational perspectives at the same time.
The scientific activities during the residential programme, like seminar, mini-courses, discussion rounds given by the national and international scientific visitors of the programme will deepen and interpolate between the themes of the two workshops.
Scientific Advisory Committee
Mike Cullen, Met Office (Retired)
Michael Ghil, University of California, LA
Georg Gottwald, University of Sydney
Marion Mittermaier, Met Office
Antje Weisheimer, University of Oxford and European Centre for Medium Range Weather Forecasts
Paul Williams, University of Reading
The Institute kindly requests that any papers published as a result of this programme’s activities are credited as such. Please acknowledge the support of the Institute in your paper using the following text:
The author(s) would like to thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support and hospitality during the programme Geophysical fluid dynamics; from mathematical theory to operational prediction, where work on this paper was undertaken. This work was supported by EPSRC grant EP/R014604/1.
GFD programme: interview with organisers T Kuna, J Wouters, J Broecker, and G Carigi
Workshops
Mathematics of geophysical fluid dynamic models of intermediate complexity: qualitative and statistical behaviour
30 August 2022 to 1 September 2022
Forecast Verification and Data Assimilation in intermediate and large scale models of geophysical fluid dynamics, with applications to medium range and seasonal forecasting
21 September 2022 to 23 September 2022
Organisers
- Jochen Broecker University of Reading
- Giulia Carigi University of L'Aquila; University of Reading
- Tobias Kuna University of L'Aquila
- Valerio Lucarini University of Reading
- Lea Olijaca University of Exeter
- Jeroen Wouters Technische Universität Hamburg-Harburg
Participants
- Peter Ashwin University of Exeter
- Eviatar Bach CALTECH (California Institute of Technology)
- Werner Bauer University of Surrey
- Julie Bessac Argonne National Laboratory
- Hakima Bessaih Florida International University
- Onno Bokhove University of Leeds
- Jochen Broecker University of Reading
- Piermarco Cannarsa Università degli Studi di Roma Tor Vergata
- Giulia Carigi University of L'Aquila; University of Reading
- Alberto Carrassi University of Bologna; University of Reading
- Mickael Chekroun University of California; Weizmann Institute of Science
- Bin Cheng University of Surrey
- Dan Crisan Imperial College London
- Daan Crommelin Centrum voor Wiskunde en Informatica (CWI); Universiteit van Amsterdam
- Mike Cullen Met Office (retired)
- Henk Dijkstra Universiteit Utrecht; University of Trento
- Charlie Egan Heriot-Watt University; University of Edinburgh
- Maximillian Engel Freie Universität Berlin
- Benedetta Ferrario Università degli Studi di Pavia
- Franco Flandoli Scuola Normale Superiore di Pisa
- Jason Frank Universiteit Utrecht
- Michael Ghil University of California, Los Angeles; CNRS - Ecole Normale Superieure Paris
- Tobias Grafke University of Warwick
- Francesco Grotto Università di Pisa
- Darryl Holm Imperial College London
- Nikolas Kantas Imperial College London
- Boualem Khouider University of Victoria
- Peter Koltai Freie Universität Berlin
- Peter Korn Max-Planck-Institut für Meteorology
- Tobias Kuna University of L'Aquila
- Francesca Elisa Leonelli Istituto di Scienze Marine
- Xue Mei Li Imperial College London
- Valerio Lucarini University of Reading
- Vincent Martinez City University of New York
- John Methven University of Reading
- Cecilia Mondaini Drexel University
- Lea Olijaca University of Exeter
- Lea Oljaca University of Exeter
- Sahani Pathiraja University of New South Wales
- Grigorios Pavliotis Imperial College London
- Beatrice Pelloni Heriot-Watt University
- Chiara Piccolo Met Office
- Sebastian Reich Universität Potsdam
- Joran Rolland Université Lille 1
- Gabriele Sbaiz Università degli Studi di Trieste
- Claudia Schillings Freie Universität Berlin
- Ted Shepherd University of Reading
- Stefano Spirito Università degli Studi dell'Aquila
- Wilhelm Stannat Technische Universität Berlin
- Maxime Taillardat Météo France; None / Other
- Miguel Teixeira University of Reading
- Stéphane Vannitsem Royal Meteorological Institute of Belgium
- Nikki Vercauteren University of Oslo
- Milo Viviani Scuola Normale Superiore di Pisa
- Antje Weisheimer European Centre for Medium-Range Weather Forecasts (ECMWF); University of Oxford
- Paul Williams University of Reading
- Caroline Wormell Sorbonne Université
- Jeroen Wouters Technische Universität Hamburg-Harburg
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