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Speaker List

Displaying 38 speakers out of 38
ALBAN FARCHI (ECMWF, UK)
Hybrid models at ECMWF, from spectral nudging to online trained model error corrections
ALEJANDRO CASALLAS GARCIA
From observations to realistic simulations, the mechanisms that develop and prevent convective organization
ALEXANDRA KOVACEVIC
Enhancing Regional Precipitation Predictions through Machine Learning using ERA5 and Observational Data
ALZBETA PECHACOVA
Data-Driven Equation Discovery of In-Cloud Vertical Velocity
ANDREA POLESELLO
Investigating deep convective systems with Machine Learning and causal inference across a hierarchy of datasets
BALAJI BADURU
A Probabilistic Forecast for Multi-year ENSO Using Bayesian Convolutional Neural Network
CARLOS ENMANUEL SOTO LOPEZ
Data-Informed Inversion Model (DIIM): a framework to retrieve marine optical constituents in the BOUSSOLE site using a three-stream irradiance model
CHANH QUOC KIEU
Retrieving tropical cyclone intensity from climate output: AI approaches and challenges
DAVIDE GRANDE
Learning the Ocean: Leveraging AI to Improve Ocean Data Assimilation
DOMITILLE TIHAINE CORON
AI-Driven reconstruction of oxygen profiles in the North Atlantic Oxygen Minimum Zone
ELENA PROVENZANO
CNN-based forecasting of early winter NAO using sea surface temperature
ERIK VAN SEBILLE (Utrecht University, Netherlands)
Introduction to Ocean Modelling
ERIKA COPPOLA (ICTP, Italy)
Introduction to Regional Climate Modelling and the Need of AI
FLORENCE ABIODUN KAYODE
Improving Global Wildfire Simulations Using Machine Learning
FRANCO MOLTENI (Agenzia Italiana Meteo, Italy)
Introduction to Atmospheric Modelling
Internal Variability in Decadal Ensemble Simulations
FRED KUCHARSKI (ICTP), SERAFINA DI GIOIA (ICTP), RICCARDO FARNETI (ICTP), FRANCO MOLTENI (AGENZIA ITALIA METEO), ADRIAN TOMPKINS (ICTP)
Opening
GASANA ELYSEE MANIMPIRE
Reconstruction of the Surface Geostrophic Current in the Mediterranean Sea from Absolute Dynamic Topography Generated by Generative Adversarial Network (Adtgan)
IOANA COLFESCU
A machine learning method is used to identify sources of long-term ENSO predictability in the ocean (sea surface temperature (SST) and heat content) and the atmosphere (near-surface zonal wind (U10)). Tropical 10m wind sseem to represents an inreresting source of ENSO predictability
IURI GORENSTEIN
Towards a Physics-Informed Neural Network for Ocean Circulation Modelling
JAKOB SCHLOER (ECMWF, UK)
Sub-seasonal forecasting with the AIFS
ENSO forecast with AI
JEREMY MALCOM CORNER
Investigating Extreme Precipitation Event Attribution Through Deep-Learning Approaches
LLUIS PALMA I GARCIA
On the application of generative modelling for seasonal climate predictions
MATIAS EZEQUIEL OLMO
Climate projections in the Euro-Mediterranean region: atmospheric circulation patterns and temperature and rainfall future changes
Climate projections in the Euro-Mediterranean region: atmospheric circulation patterns and temperature and rainfall future changes
MATTHEW CHANTRY (ECMWF, UK)
Review of State-of-the Art of AI Developments In Weather and Climate Modelling
MOETASIM ASHFAQ
Towards Development of Generative AI-based Sub-Seasonal to Seasonal Forecasting System
NURIA PEREZ ZANON
Exploring windows of opportunity at sub-seasonal time scales for extreme precipitation events: the Valencia DANA case study
PIERRE GENTINE (Columbia University, USA)
AI Physical Routines in Physical Numerical Models
REZKY YUNITA
Enhancing Local Climate Zone Classification in Jakarta Using AI: Machine Learning Approach with Landsat 9 and Land Surface Temperature Integration
SCOTT MARTIN (University of Washington, USA)
Integrating AI, Ocean Models, and Satellite Observations for Eddy-Resolving Surface Ocean State Estimation
SERAFINA DI GIOIA (ICTP, Italy)
Introduction to Deep Learning
SHRUTI NATH (University of Oxford, UK)
Fine-Tuning of the Prithvi Foundational Model
Open Problem Description for Hackathon, and Creating Groups to Resolve Them
Linking Research to Action: Exploring the Value of AI-Driven Rainfall Forecasts over the Greater Horn of Africa
TIM PALMER (University of Oxford, UK)
Circulation Regimes and The Signal-to-Noise Paradox in AI Prediction Models
TIM PALMER (UNIVERSITY OF OXFORD, UK), JAKOB SCHLOER (ECMWF, UK), FRANCO MOLTENI (AGENZIA ITALIANA METEO, ITALY), ERIKA COPPOLA (ICTP, ITALY)
Round Table Discussion: Can AI Models Fully Replace Physical Models for Long-Range Forecasting and Climate Simulations
TOM BEUCLER (University of Lausanne, Switzerland)
AI and Hybrid Modelling: Parameter Calibration or Full-AI Modules
Lab Activity
TOM BEUCLER (UNIVERSITY OF LAUSANNE, SWITZERLAND), FRANCO MOLTENI (AGENZIA ITALIANA METEO, ITALY)
Round Table Discussion on Uncertainty Evaluation
VALENTINA BLASONE (University of Trieste, Italy)
AI And Regional Climate Downscaling
VATEANUI FRANCOIS ERNEST SANSINE
Fine-tuning a global weather model for superior subseasonal forecasting
VICTOR GALVAN FRAILE
Enhancing Seasonal Predictions with Machine Learning: A Global Perspective on SST Influence in Early Winter

Organizers

Serafina Di Gioia (ICTP), Riccardo Farneti (ICTP), Franco Molteni (Agenzia Italia Meteo), Adrian Tompkins (ICTP), Local Organiser: Fred Kucharski (ICTP)

Co-sponsors