Dr Frank Kwasniok
Senior Lecturer in Applied Mathematics
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Talks
Recent invited talks
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Data-driven deterministic and stochastic subgrid-scale parameterisation in atmosphere and ocean models,
CRiSM Workshop on 'Fusing Simulation with Data Science',
Department of Statistics, University of Warwick, UK,
Jul 2023
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Data-driven dimension reduction, prediction and modelling of complex dynamical systems,
Mathematical Sciences Seminar,
University College Cork, Ireland,
Mar 2023
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The structure of predictability in an intermediate-complexity atmospheric model: covariant Lyapunov vectors and finite-time Lyapunov exponents,
Isaac Newton Institute Satellite Workshop 'Mathematics of geophysical fluid dynamic models of intermediate complexity: qualitative and statistical behaviour',
Reading, UK,
Aug/Sep 2022
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Data-driven deterministic and stochastic subgrid-scale parametrization in atmosphere and ocean models: a pattern-based approach,
Dynamics Days Europe 2022,
Minisymposium 'Data-driven modelling and analysis in weather and climate science',
Aberdeen, Scotland,
Aug 2022
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Data-driven stochastic subgrid-scale parametrization in atmosphere and ocean models: a pattern-based approach,
Program 'Machine Learning and the Physics of Climate',
Kavli Institute for Theoretical Physics, Santa Barbara, CA, USA,
Dec 2021
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The structure of predictability in an intermediate-complexity atmospheric model: covariant Lyapunov vectors and associated finite-time Lyapunov exponents,
SIAM Conference on Mathematics of Planet Earth,
Garden Grove, CA, USA,
Aug 2020
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Data-driven analysis and prediction of Atlantic Meridional Overturning Circulation collapse using non-stationary optimal mode decomposition and non-linear modelling,
International Workshop on Complex Systems and Networks,
Berlin, Germany,
Sep 2019
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Data-driven stochastic modelling in weather and climate science,
Workshop 'Statistical inference for stochastic process models in weather and climate science',
Lorentz Center, Leiden, the Netherlands,
Sep 2018
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Vortex dynamics of stratospheric sudden warmings: a reanalysis data study using PV contour integral diagnostics,
MISU, Stockholm, Sweden,
Jun 2018
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The structure of predictability in an intermediate-complexity atmospheric model,
Workshop 'Nonlinear and Stochastic Problems in Atmospheric and Oceanic Prediction',
Banff International Research Station (BIRS), Banff, Canada,
Nov 2017
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Data-based detection, anticipation and prediction of critical transitions,
3rd CRITICS Workshop,
Valladolid, Spain,
Sep 2017
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Calibrating conceptual models against palaeoclimatic records: methods, examples and challenges,
Workshop 'Pacing and synchronisation of palaeoclimate variability',
Dartington Hall, Devon, UK,
Jun 2017
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Predictability of large-scale atmospheric flow: Lyapunov exponents and weather regimes,
MISU, Stockholm, Sweden,
May 2017
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Data-driven nonlinear stochastic modelling in weather and climate science,
LMD, ENS, Paris, France,
Apr 2017
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Detecting, anticipating and predicting critical transitions using data-driven non-stationary dynamical modelling,
Climate Tipping Points Workshop,
Dartington Hall, Devon, UK,
Apr 2016
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Data-driven stochastic modelling of unresolved scales in weather and climate science,
Dynamics Days Europe,
Exeter, UK,
Sep 2015
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Regime-dependent modelling of extremes in the extra-tropical atmospheric circulation,
Workshop 'Non-equilibrium Statistical Mechanics and the Theory of Extreme Events in Earth Science', Programme 'Mathematics for the Fluid Earth',
Isaac Newton Institute for Mathematical Sciences, Cambridge, UK,
Oct/Nov 2013
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Predicting critical transitions from time series using non-stationary modelling,
Workshop 'Tipping points: fundamentals and applications',
International Centre for Mathematical Sciences, Edinburgh, UK,
Sep 2013
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Regime-dependent modelling of extremes in the extra-tropical atmospheric circulation,
12th International Meeting on Statistical Climatology,
Jeju, Korea,
Jun 2013
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Analysis and modelling of glacial climate transitions using simple dynamical systems,
Department of Mathematics, Imperial College London, London, UK,
May 2013
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Data-driven stochastic subgrid parametrization using Kalman filtering,
Workshop 'Stochastic Modelling and Computing for Weather and Climate Prediction',
Oxford, UK,
Mar 2013
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Deriving dynamical models from palaeoclimatic records using nonlinear Kalman filtering: estimation of parameters and noise levels,
LMS-EPSRC Durham Symposium 'Mathematics of Data Assimilation',
Durham, UK,
Aug 2011
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Data-based stochastic subgrid-scale parametrisation using cluster-weighted modelling,
Workshop 'Representing Model Uncertainty and Error in Weather and Climate Prediction',
ECMWF, Reading, UK,
Jun 2011
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Data-based stochastic subgrid-scale parametrisation using cluster-weighted modelling,
Program 'Predictability',
Nordic Institute for Theoretical Physics (Nordita), Stockholm, Sweden,
May 2011
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Empirical stochastic modelling in weather and climate science: applications from subgrid-scale parametrisation to analysis and modelling of palaeoclimatic records,
Workshop 'Stochastic Methods in Climate Modelling', Programme 'Mathematical and Statistical Approaches to Climate Modelling and Prediction',
Isaac Newton Institute for Mathematical Sciences, Cambridge, UK,
Aug 2010
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Data-based stochastic subgrid-scale parametrisation using cluster-weighted modelling,
Workshop 'Mathematical Theory and Modelling in Atmosphere-Ocean Science',
Mathematisches Forschungsinstitut Oberwolfach, Germany,
Aug 2010