Programme
Download ProgrammePlease select a timezone to show adjusted event times accordingly.
Agenda time displays according to the selected time zone.
| Monday, 9 September 2024 | ||
|---|---|---|
| 12:00 to 14:00 |
Registration and lunch
Registration in the Weather Room
|
|
|
Workshop opening
|
||
| 14:00 to 14:10 |
Welcome and introduction
Video recording |
Speaker: Matthieu Chevallier (ECMWF)
|
| 14:10 to 14:15 | Logistical arrangements |
Speaker: Mark Rodwell (ECMWF)
|
|
Predictability
Chair: Sarah-Jane Lock, Rapporteur: Inna Polichtchouk |
||
| 14:15 to 14:45 |
Diagnostics for investigating the representation of synoptic-scale processes in models and their benefit for medium- to extended-range prediction
Presentation slides Video recording |
Speaker: Christian M. Grams (MeteoSwiss)
|
| 14:45 to 15:05 |
Diabatic heating as a diagnostic for predictability on weather to intra-seasonal time scales
Presentation slides Video recording |
Speaker: David Straus (George Mason University)
|
| 15:05 to 15:25 |
‘Forecast busts’ over Europe in ERA5 reforecasts: Characteristics and predictions using neural networks
Presentation slides Video recording |
Speaker: Seraphine Hauser (University of Oklahoma)
|
| 15:25 to 15:55 | Coffee break | |
| 15:55 to 16:15 |
The transition from practical to intrinsic predictability and how to diagnose it
Presentation slides Video recording |
Speaker: Tobias Selz (LMU München)
|
| 16:15 to 16:45 |
Discussion 1
What is ultimate predictability, and what is holding NWP back? Video recording |
|
| 16:45 to 17:45 |
Icebreaker reception
Weather Room |
|
Agenda times displays according to the selected time zone.
| Tuesday, 10 September 2024 | ||
|---|---|---|
|
Processes 1
Chair: Richard Forbes, Rapporteur: Luise Schulte
|
||
| 09:30 to 10:00 |
Diagnosing Mesoscale Convective Systems in DYAMOND Models: A Feature Tracking Intercomparison
Presentation slides Video recording |
Speaker: Zhe Feng (Pacific Northwest National Laboratory)
|
| 10:00 to 10:20 |
Evaluation and Error Analysis of the July 2021 Extremely Severe Rainstorm in Henan Province Simulated by CMA-MESO Model
Presentation slides Video recording |
Speaker: Ziwei Wan (CMA Earth System Modeling and Prediction Centre)
|
| 10:20 to 10:40 |
The Challenge of Representing Extreme Rainfall Events in Global Models
Presentation slides Video recording |
Speaker: David B. Parsons (University of Oklahoma)
|
| 10:40 to 11:00 |
The role of eddy momentum flux on the organisation of shallow convection
Presentation slides Video recording |
Speaker: Alessandro Savazzi (TuDelft)
|
| 11:00 to 11:30 | Coffee break | |
| 11:30 to 11:50 |
Model Uncertainty – MIP
Presentation slides Video recording |
Speaker: Hannah Christensen (University of Oxford)
|
| 11:50 to 12:10 |
ICECAP - A tool to analyse multi-centre sea-ice forecasts from days to seasons
Presentation slides Video recording |
Speaker: Steffen Tietsche (ECMWF)
|
| 12:10 to 12:30 |
Process-based diagnostics using atmosphere budget analysis and nudging technique to identify sources of model systematic errors in global MetUM
Presentation slides Video recording |
Speaker: Chihiro Matsukawa (Japan Meteorological Agency, Met Office)
|
| 12:30 to 12:50 |
Process-based diagnostics of the impact of new observing systems: a case study of the Aeolus wind satellite
Presentation slides Video recording |
Speaker: Robin Pilch Kedzierski (Meteorologisches Institut, Universität Hamburg)
|
| 12:50 to 13:50 | Lunch break | |
| 13:50 to 14:20 |
Research on Error Traceability Technology Based on Scale Analysis
Presentation slides Video recording |
Speaker: Bin Zhao (CMA Earth System Modeling and Prediction Centre, China Meteorological Administration)
|
| 14:20 to 14:50 |
Discussion 2
What are the key model process errors and uncertainties? Video recording |
|
| Posters | ||
| 14:50 to 15:30 |
Poster introductions
Chair: David Lavers Video recording |
|
| 15:30 to 17:00 | Poster session | |
Agenda times displays according to the selected time zone.
| Wednesday, 11 September 2024 | ||
|---|---|---|
|
Machine learning
Chair: Michael Maier-Gerber, Rapporteur: Linus Magnusson |
||
| 09:30 to 09:50 |
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
Presentation slides Video recording |
Speaker: Simon Driscoll (University of Reading)
|
| 09:50 to 10:10 |
Global deep-learning weather prediction model evaluation and error diagnostics
Presentation slides Video recording |
Speaker: Uroš Perkan (University of Ljubljana, Faculty of Mathematics and Physics)
|
| 10:10 to 10:30 |
Can ML help end users increase forecast successes and highlight potential busts
Presentation slides Video recording |
Speaker: Isla Finney (Lake Street Consulting Ltd)
|
| 10:30 to 11:00 |
Discussion 3 - Why are AI models so competitive, and are they physically consistent?
Rapporteur: Linus Magnusson Video recording |
|
| 11:00 to 11:30 | Coffee break and group photo | |
| Host talk | ||
| 11:30 to 11:50 |
Scale-dependent evaluation and fair comparison of ensemble systems
Presentation slides Video recording |
Speaker: Mark Rodwell (ECMWF)
|
|
Processes 2
Chair: Frederic Vitart, Rapporteur: Rebecca Emerton |
||
| 11:50 to 12:20 |
Diagnosing tropical waves
Presentation slides Video recording |
Speaker: Peter Knippertz (Karlsruhe Institute of Technology)
|
| 12:20 to 12:40 |
Tropical Wave Diagnostics and Their Applications to Numerical Weather Models
Presentation slides Video recording |
Speaker: Quinton Lawton (University of Miami)
|
| 12:40 to 13:00 |
The Maritime Continent barrier effect on MJO predictability
Presentation slides Video recording |
Speaker: Hyemi Kim (Ewha Womans University)
|
| 13:00 to 14:00 | Lunch break | |
| 14:00 to 14:30 |
Diagnostics for Tropical cyclone prediction : from the S2S scale to the mesoscale
Presentation slides Video recording |
Speaker: Philippe Peyrillé (Météo-France)
|
| 14:30 to 15:00 |
Discussion 4
The tropical elephant in the forecasting room? Video recording |
|
| 15:00 to 15:30 | Coffee break | |
|
Community data and tools
Chair: Linus Magnusson, Rapporteur: Alison Cobb |
||
| 15:30 to 15:50 |
Diagnostics Package for MJO-Teleconnections
Presentation slides Video recording |
Speaker: Chaim Garfinkel (Hebrew University)
|
| 15:50 to 16:10 |
The Ensemble Museums – a diagnostic tool of weather forecasting-
Presentation slides Video recording |
Speaker: Mio Matsueda (Univesity of the Ryukyus/University of Tsukuba)
|
| 16:10 to 16:30 |
The development and implementation of diagnostics for ERA5 and ERA6
Presentation slides Video recording |
Speaker: Alison Cobb (ECMWF)
|
| 16:30 to 17:00 |
Discussion 5
The importance of community datasets and intercomparison Video recording |
|
| 18:30 to 21:00 | Dinner in Reading town centre | |
Agenda times displays according to the selected time zones.
| Thursday, 12 September 2024 | ||
|---|---|---|
|
Resolution and scale interactions
Chair: Inna Polichtchouk, Rapporteur: Richard Forbes
|
||
| 09:30 to 10:00 |
Diagnostic approaches for the GLObal-to-Regional ICON (GLORI) Digital Twin
Presentation slides Video recording |
Speaker: Chiara Marsigli (DWD)
|
| 10:00 to 10:20 |
Flow dependence of error growth: Potential-vorticity diagnostics and feature tracking
Presentation slides Video recording |
Speaker: Michael Riemer
|
| 10:20 to 10:40 |
Case study of error-growth from mesoscale convection near the intrinsic limit: combining potential vorticity error growth tendencies with ensemble sensitivity analysis
Presentation slides Video recording |
Speaker: Edward Groot (AOPP, University of Oxford)
|
| 10:40 to 11:00 |
Inspecting high-resolution coupled models in a scale-aware way
Presentation slides Video recording |
Speaker: Matthias Aengenheyster (ECMWF)
|
| 11:00 to 11:30 | Coffee break | |
| 11:30 to 12:00 |
Challenges in the evaluation of the K-Scale hierarchy
Presentation slides Video recording |
Speaker: Claudio Sanchez (Met Office)
|
| 12:00 to 12:30 |
Discussion 6
Does resolution matter in global NWP? Video recording |
|
|
Close of workshop
Chair: Mark Rodwell, Rapporteur: Sarah-Jane Lock |
||
| 12:30 to 13:00 |
Plenary discussion
What have we learnt? Diagnostic success stories? Diagnostic priorities? The ingredients of the perfect diagnostic? Video recording |
|