7 - 10 May 2024| ESA-ESRIN 


                                                                             Posters 07th of May
Data Assimilation in Data-Driven Weather Forecasting: Pairing FourCastNet with Ensemble 3D-Var
Adrian Melissa (University of Chicago)
TA-1An AI-based Computational Fluid Dynamics Emulator to simulate physical phenomena
Amato Eleonora (INGV)
Self-Supervised Rainfall Probability Estimation from Numerical Weather Prediction Models
An Sojung (Korea Institute Of Atmosphere And Prediction Systems)
      TA-3Application and Comparison of Three Different Machine Learning Models in Predicting the Temperature
Balkanlı Nedime Gaye Nur (Yıldız Technical University)

Additive Logistic Regression Models for Large Hail Prediction: from  Forecasting to Climate

Battaglioli Francesco (European Severe Storms Laboratory)

      TA-2Estimating the lateral export of biomass across the shelf break via an unsupervised learning framework applied to satellite images
Benassi Federica (University of Bologna)
      TA-4Broccoli Matteo (CMCC)
      TA-2Towards EUMETSAT MTG Day-2 precipitation rate product: deep learning for precipitation rate retrieval from GEO IR and MW measurements
Casella Daniele (CNRS-ISAC)
 Towards AI-enhanced prediction of Mediterranean cyclones 
Cavicchia Leone (CMCC)
TA-3Listen to the murmurs of the embeddings: enabling insights for shallow cloud processes
Chatterjee Dwaipayan (CMCC)

Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting

Choi Yeji (SI Analytics)

TA-3A Machine Learning approach to sea-state prediction in Irish waters using Synthetic Aperture Radar data
Coogan Peter (TechWorks Marine)

Nowcasting volcanic activity using Long Short-Term Memory (LSTM) models and satellite data

Corradino Claudia (INGV)

Deep Learning models to predict short-term drought in the Horn of Africa at daily temporal resolution

D'Ercole Riccardo (CNR-ISAC)
TA-3Data-driven modelling for limited area forecasting
Denby Leif (Danish Meteorological Institute)
TA-2Satellite Imagery Super Resolution for Volcano Monitoring
Di Bella Giovanni Salvatore (INGV)
TA-3Forecasting of surface atmospheric variables using ECMWF analysis data with Machine Learning models
Difa Mahmud Hasan (DIFA)
TA-4Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Re-analysis Data
Doyi Kim (SI Analytics)
TA-3Complex large scale influence on extreme precipitation
Fauer Felix (Freie Universität Berlin)
TA-4Improving sub-seasonal precipitation forecasts through statistical and machine learning methods in Fars province, Iran
Ghaedamini Habib (Shiraz University)
TA-2Machine Learning for Next-Day Wildfire Prediction: Classic approach Metric Learning and Image Segmentation
Girtsou Stella (NOA)
TA-3Drought prediction in the Spree region
Hauke Clara (Freie Universität Berlin)
TA-2How can machine learning extend the investigation of relationships between air pollution, meteorological conditions and Covid-19 health data in Baden-Württemberg (Germany)? 
Hoffmann Leona (DLR)
TA-4Improving Short-Term Precipitation Forecasts through Machine Learning Inference of Latent Heating Profiles Based on Radar Observations
Jacques Dominik (Environment and Climate Change Canada)
TA-4A Study on Machine Learning-Based Cloud Detection for Microwave Radiance Assimilation
Kim Eun-Jin (KIAPS)
TA-4Sampling physically consistent sensor network states conditioned on a numerical weather forecast: a proposal
Landry David (INRIA)
TA-3NWP AI-based models verifications against observations
Lapalme Ervig (Environment and Climate Change Canada)
TA-1 Harnessing Social Sensing: Real-time Wildfire Detection through Social Media Analysis and Geotagging Inference
Li Olivia (Spyro)
TA-4Cloud susceptibility to aerosols modelled from meteorological variables
Manshausen Peter (University of Oxford)
TA-3Optimization-based driver detection and prediction of seasonal heat extremes
Mcadam Ronan (CMCC Foundation)
TA-4A Deep Learning Approach to Ensemble Precipitation Forecasting
Mosaffa Hamidreza (CNR-IRPI)
TA-3Deep Learning for Medium-Range Extreme Weather Forecasting: challenges and opportunities ahead
Olivetti Leonardo (Uppsala University)
TA-1TomoSAR Neural Network for 3D Forest Reconstruction Exploting Lidar Data
Vitale Sergio (Università Di Napoli Parthenope)
TA-2Democratizing Foundation Models for Earth Observation Applications
Zappacosta Antony (DLR)
TA-3Bridging the Gap between Data and End-to-End ML4Weather and Climate Prediction
Tervo Roope (Eumetsat)
TA-2AI for Urban Climate: An EO-Based Approach for Heatwaves Exposure and Adaptation
Oliveira Ana (CoLAB Atlantic)
TA-1High resolution Greenhouse Gas Resolution using Super Resolution
Rakotoharisoa Andrianirina (Imperial College London)
TA-5Building end to end AI4EO applications with SPAI
Pedro Juan B. (Earthpulse)

                                                                             Posters 09th of May
Post-processing and uncertainty quantification against observations for km-scale DestinE forecasts
Aleksovska Ivana (ECMWF)
TA-2Application of machine learning to identify outliers in GNSS position time series based on observation’s data quality indicators
Bamahry Fikri (Royal Observatory Of Belgium)
Recognizing volcanic eruptive style from geostationary satellite time series using LSTM
Cariello Simona (INGV)
TA-3Developments on machine learning downscaling for storm surge in the Northern Adriatic Sea
Campos Rodrigo (University of Bologna)
      TA-2Self-Supervised Learning for Earth Observation; From Single Input to Multi-Input Models for Diverse Downstream Tasks
Jungbluth Anna (ESA)
TA-3Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery
Khan Mehak (Western Norway University of Applied Sciences)

Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery

Lever Jake (ICL)

      TA-3Correction of NWP ocean surface wind biases with machine learning and scatterometer data
Marcos Portabella (al posto di Eugenia Makarova) (BEC, ICM-CSIC)
      TA-5Mazzeo Andrea (Università Degli Studi Di Napoli Federico II)
      TA-1Precipitation prediction for the Korean peninsula using latent diffusion models.
Na Inchae (KIAPS)
      TA-4DiffScale: Towards continuous super-resolution in S2S wind forecasts
Otero Noelia (Fraunhofer Heinrich-Hertz-Institut)
A global empirical system for probabilistic seasonal climate prediction based on generative AI and CMIP6 models
Palma Lluís (Barcelona Supercomputing Center)
TA-4Post-processing of NWP model for Thunderstorm Detection using a ML approach
Marco Di Giacomo (Politecnico Di Milano)

Perkan Uroš (University of Ljubljana, Faculty Of Mathematics And Physics)

TA-2KelpNet: Robust Multi-Task Learning for Satellite-Based Kelp Forest Monitoring
Pierzyna Maximilian (Delft University Of Technology)

Earth System Deep Learning for Subseasonal to Seasonal Forecasting

Prapas Ioannis (National Observatory Of Athens)
TA-3Quilodran-casas Cesar (al posto di Pritthijit Nath) (University of Cambridge)
TA-4Downscaling Global Gravity-based Groundwater Product (G3P) based groundwater storage change using machine learning
Raza Ahsan (​​​​​​​​​​​​​​​​​​​​leibniz Centre For Agricultural Landscape Research (zalf))
Razzano Francesca (University of Pathenope)
TA-3Ensemble land cover maps for numerical weather prediction
Rieutord Thomas (Met Éireann)
TA-3Low-level Wind Shear prediction based on Machine Learning techniques: a case study of Palermo-Punta Raisi International Airport
Ripesi Patrizio (ENAV)
Russo Luigi (University of Pavia)
TA-3Deep learning for climate-phenology modelling
Sainte Fare Garnot Vivien (University of Zurich)
TA-3Reconstructing and Nowcasting Wind Fields from Weather Station Observations using Transformers-PINNS
San Bûn-kim (Universidad Carlos III de Madrid)
TA-2The EUMETSAT EPS-SG MWI and MWS day-1 Machine Learning algorithms for snowfall and rainfall surface precipitation rate retrieval 
Sanò Paolo (CNR-ISAC)
TA-4Using machine learning to accelerate a forward operator for cloud-affected solar satellite images
Scheck Leonhard (Deutscher Wetterdienst)
TA-3High-resolution adaptation of the AIFS model using a stretched-grid approach
Schmeits Maurice (KNMI)
TA-2Quantification and evaluation of the heat-stress hazard variability in Tuscany between 2003 and 2022
Sera Francesco (University of Florence)
TA-1Sentinel-2 and random forest for ecosystem-habitat mapping: A case study over Lazio (Italy)
Tartaglione Nazario (Italian Institute For Environmental Protection And Research)
TA-3Studying Forecast Accuracy in Pangu-Weather through Ablation and Feature Enhancement
To Defilia (Karlsruhe Institute of Technology)
TA-4Deep Generative Models to Mimic Dynamical Downscaling: an experiment in downscaling ERA5 to high-resolution COSMO-CLM dynamical reanalyses over Italy 
Gabriele Franch (al posto di Elena Tomasi) (Fondazione Bruno Kessler)
TA-4How AI-based emulators can broaden the application horizon of Lagrangian CFD
Zago Vito (INGV)
TA-2Addressing Societal Challenges with Earth Observation and Foundation Models
Zappacosta Antony (DLR)
TA-2Generative AI models applied to wildfires
Cheng Sibo (Imperial College London)