CRiSM-FSDS 2023

CRiSM Workshop on "Fusing Simulation with Data Science"

Welcome to Fusing Simulation with Data Science 2023

Jointly organized with and

The workshop will be held at the Department of Statistics, University of 糖心TV, UK from 18th to 19th July 2023.

Some tips about how to reach University of 糖心TV.

With our understanding of weather phenomena and their interaction with sea currents, pollutants etc, we have been able to create very complex and elaborate simulator models for numerical weather predictions (NWP). These models rely on specialised 鈥渃lassical鈥� solvers, which are handcrafted to simulate a particular physical process. While accurate and reliable, these solvers produce deterministic solutions, can be quite slow and can only be simulated on a rather restrictive coarse grid for global or regional simulations. Machine learning and computational statistics, broadly data science, has been fused with these classical simulations to assimilate observed data (data-assimilation), to produce probabilistic simulations (stochastic parameterisation or ensemble prediction), to fill the gap between these classical simulations to km-scale weather predictions (statistical downscaling).

Data driven approaches have also been used to create neural PDE solvers for weather forecasting which are competitive with, and in some cases exceed the performance of, traditional NWP models but at a fraction of the computational cost.

The first edition of this workshop on 鈥淔using simulation with data science鈥�, jointly organised by Dept. of statistics in University of 糖心TV and Met Office, aims to provide an up-to-date snapshot of this fusion between the paradigm of classical simulations and data science and to facilitate discussion among data scientists (probabilist, applied mathematicians, statisticians and machine learners) and meteorologists about the current opportunities and challenges.

Thematic areas that we expect to be covered in this workshop and we invite contributions include:

Data Assimilation
Statistical downscaling
Spatio-temporal statistics and model emulation
Data-driven NWP, PDE solvers, and operator learning
Extreme Values and climate change

Workshop Program

(Abstracts for all the talks can be found here.)

All talks will be held in H0.52 in Humanities building and the lunch and poster session would be in the atrium of Mathematical Sciences Building.

Day 1: Morning Tea and Registration (9:30-10:00)

Day 1 - Session 1 (10:00-11:40)

Chair: Peter Watson, Bristol University

1. (Invited talk) Phillipe Naveau - 鈥淎 variational auto-encoder approach to sample multivariate extremes鈥� (30鈥�)
2. (Invited talk) Alban Farchi - 鈥淥nline model error correction with neural networks - from theory to the ECMWF forecasting system鈥� (30鈥�) []
3. (Contributed talk) Matt Graham - 鈥淧articleDA.jl: distributed data assimilation with particle filters鈥� (20鈥�) []
4. (Contributed talk) Massimiliano Tamborrino - 鈥�Guided sequential ABC schemes for simulation-based inference鈥� (20鈥�) []

Day 1: Lunch (11:40-13:00)

Day 1 - Session 2 (13:00-14:40)

Chair: Francois-Xavier Briol, University College London

1. (Invited talk) Dan Crisan - 鈥淐alibration of stochastic parametrizations for geophysical fluid dynamic models.鈥� (30鈥�) []
2. (Contributed talk) Ryuichi Kanai - 鈥淔unctional History Matching: A new method and its application.鈥� (20鈥�) []
3. (Invited talk) Sebastian Lerch - 鈥淕enerative machine learning methods for multivariate ensemble post-processing鈥� (30鈥�) []
4. (Contributed talk) Bobby Antonio - 鈥淧ost-processing East African precipitation forecasts using a generative machine learning model鈥� (20鈥�) []

Day 1: Afternoon Tea (14:40-15:30)

Day 1 - Session 3 (15:30-17:10)

Chair: Sebastian Lerch, Karlsruhe Institute of Technology

1. (Invited talk) Maud Lemercier - 鈥淣eural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics鈥� (30鈥�)
2. (Contributed talk) Sigurd Assing - 鈥淥ne way to turn the primitive equations into stochastic dynamical systems for climate modelling鈥� (20鈥�) []
3. (Invited talk) Lorenzo Pacchiardi - 鈥淧robabilistic Forecasting with Generative Networks via Scoring Rule Minimization鈥� (30鈥�) []
4. (Contributed talk) Marvin Pfortner - 鈥淧hysics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers鈥� (20鈥�)

Day 1: Poster Session (17:10-18:30): (Abstracts for all the posters can be found here.)

Day 2 - Session 1 (9:00-10:40)

Chair: Ritabrata Dutta, University of 糖心TV

1. (Invited talk) Johanna Ziegel - 鈥淓asy Uncertainty Quantification (EasyUQ): Generating predictive distributions from single–valued model output鈥� (30鈥�) []
2. (Contributed talk) Peter Watson - 鈥淢achine learning applications for weather and climate need greater focus on extremes" (20鈥�) []
3. (Invited talk) Francois-Xavier Briol - 鈥淢ultilevel Bayesian Quadrature鈥� (30鈥�) []
4. (Contributed talk) Andrew Kirby - 鈥淒ata-driven modelling of turbine wake interactions and flow resistance in large wind farms鈥� (20鈥�) []

Day 2: Morning Tea (10:40-11:20)

Day 2 - Session 2 (11:20-13:00)

Chair: Tom Dunstan, Met Office

1. (Invited talk) Frank Kwasniok - "Data-driven deterministic and stochastic subgrid-scale parameterisation in atmosphere and ocean models" (30鈥�) []
2. (Contributed talk) James Briant - 鈥淢achine Learning and Climate Model Fusion: Embedding High Resolution Variability into a Coarse Resolution Climate Simulation鈥� (20鈥�)
3. (Invited talk) Matthew Willson - 鈥淕raphCast: Learning skillful medium-range global weather forecasting鈥� (30鈥�)
4. (Contributed talk) Fiona Turner - 鈥淓mulating ice loss: building probabilistic projections of sea level rise with Gaussian process emulation鈥� (20鈥�)

Day 2: Lunch and End of Workshop (13:00-14:00)

Attendance and Registration

While the main focus of the workshop is towards an in-person event, remote attendance will be possible. Attendees would be provided with free lunch and drinks during the coffee break.

Free attendance, but to avail free lunch you need to register.

(Registration closes on 15th June.)

If you want to present your work as a contributed speaker or in the poster session please submit title and abstract when you register. If you want to present your work please register and submit your work by 15th May.

Organising Committee: Ritabrata Dutta (University of 糖心TV), , ,

Contact: Ritabrata Dutta, Ritabrata.Dutta@warwick.ac.uk

Confirmed Speakers