POSTERS

Posters 07th of May
TA-3	Data Assimilation in Data-Driven Weather Forecasting: Pairing FourCastNet with Ensemble 3D-Var Adrian Melissa (University of Chicago)
TA-1	An AI-based Computational Fluid Dynamics Emulator to simulate physical phenomena Amato Eleonora (INGV)
TA-3	Self-Supervised Rainfall Probability Estimation from Numerical Weather Prediction Models An Sojung (Korea Institute Of Atmosphere And Prediction Systems)
TA-3	Application and Comparison of Three Different Machine Learning Models in Predicting the Temperature Balkanlı Nedime Gaye Nur (Yıldız Technical University)
TA-3	Additive Logistic Regression Models for Large Hail Prediction: from Forecasting to Climate Battaglioli Francesco (European Severe Storms Laboratory)
TA-2	Estimating the lateral export of biomass across the shelf break via an unsupervised learning framework applied to satellite images Benassi Federica (University of Bologna)
TA-4	Assimilation of Diurnal Satellite Retrievals of Sea Surface Temperature for Ocean Reanalysis with Convolutional Neural Network Broccoli Matteo (CMCC)
TA-2	Towards EUMETSAT MTG Day-2 precipitation rate product: deep learning for precipitation rate retrieval from GEO IR and MW measurements Casella Daniele (CNRS-ISAC)
TA-2	Towards AI-enhanced prediction of Mediterranean cyclones Cavicchia Leone (CMCC)
TA-3	Listen to the murmurs of the embeddings: enabling insights for shallow cloud processes Chatterjee Dwaipayan (CMCC)
TA-2	Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting Choi Yeji (SI Analytics)
TA-3	A Machine Learning approach to sea-state prediction in Irish waters using Synthetic Aperture Radar data Coogan Peter (TechWorks Marine)
TA-1	Nowcasting volcanic activity using Long Short-Term Memory (LSTM) models and satellite data Corradino Claudia (INGV)
TA-2	Deep Learning models to predict short-term drought in the Horn of Africa at daily temporal resolution D'Ercole Riccardo (CNR-ISAC)
TA-3	Data-driven modelling for limited area forecasting Denby Leif (Danish Meteorological Institute)
TA-2	Satellite Imagery Super Resolution for Volcano Monitoring Di Bella Giovanni Salvatore (INGV)
TA-3	Forecasting of surface atmospheric variables using ECMWF analysis data with Machine Learning models Difa Mahmud Hasan (DIFA)
TA-4	Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Re-analysis Data Doyi Kim (SI Analytics)
TA-3	Complex large scale influence on extreme precipitation Fauer Felix (Freie Universität Berlin)
TA-4	Improving sub-seasonal precipitation forecasts through statistical and machine learning methods in Fars province, Iran Ghaedamini Habib (Shiraz University)
TA-2	Machine Learning for Next-Day Wildfire Prediction: Classic approach Metric Learning and Image Segmentation Girtsou Stella (NOA)
TA-3	Drought prediction in the Spree region Hauke Clara (Freie Universität Berlin)
TA-2	How 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-4	Improving Short-Term Precipitation Forecasts through Machine Learning Inference of Latent Heating Profiles Based on Radar Observations Jacques Dominik (Environment and Climate Change Canada)
TA-4	A Study on Machine Learning-Based Cloud Detection for Microwave Radiance Assimilation Kim Eun-Jin (KIAPS)
TA-4	Sampling physically consistent sensor network states conditioned on a numerical weather forecast: a proposal Landry David (INRIA)
TA-3	NWP 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-4	Cloud susceptibility to aerosols modelled from meteorological variables Manshausen Peter (University of Oxford)
TA-3	Optimization-based driver detection and prediction of seasonal heat extremes Mcadam Ronan (CMCC Foundation)
TA-4	A Deep Learning Approach to Ensemble Precipitation Forecasting Mosaffa Hamidreza (CNR-IRPI)
TA-3	Deep Learning for Medium-Range Extreme Weather Forecasting: challenges and opportunities ahead Olivetti Leonardo (Uppsala University)
TA-1	TomoSAR Neural Network for 3D Forest Reconstruction Exploting Lidar Data Vitale Sergio (Università Di Napoli Parthenope)
TA-2	Democratizing Foundation Models for Earth Observation Applications Zappacosta Antony (DLR)
TA-3	Bridging the Gap between Data and End-to-End ML4Weather and Climate Prediction Tervo Roope (Eumetsat)
TA-2	AI for Urban Climate: An EO-Based Approach for Heatwaves Exposure and Adaptation Oliveira Ana (CoLAB Atlantic)
TA-1	High resolution Greenhouse Gas Resolution using Super Resolution Rakotoharisoa Andrianirina (Imperial College London)
TA-5	Building end to end AI4EO applications with SPAI Pedro Juan B. (Earthpulse)

Posters 09th of May
TA-3	Post-processing and uncertainty quantification against observations for km-scale DestinE forecasts Aleksovska Ivana (ECMWF)
TA-2	Application of machine learning to identify outliers in GNSS position time series based on observation’s data quality indicators Bamahry Fikri (Royal Observatory Of Belgium)
TA-2	Recognizing volcanic eruptive style from geostationary satellite time series using LSTM Cariello Simona (INGV)
TA-3	Developments on machine learning downscaling for storm surge in the Northern Adriatic Sea Campos Rodrigo (University of Bologna)
TA-2	Self-Supervised Learning for Earth Observation; From Single Input to Multi-Input Models for Diverse Downstream Tasks Jungbluth Anna (ESA)
TA-3	Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery Khan Mehak (Western Norway University of Applied Sciences)
TA-2	Explainable Land Use and Land Cover Classification Based on Transformers Using Satellite Imagery Lever Jake (ICL)
TA-3	Correction of NWP ocean surface wind biases with machine learning and scatterometer data Marcos Portabella (al posto di Eugenia Makarova) (BEC, ICM-CSIC)
TA-5	PyNA-tta-S: a framework for Neural Architecture Search powered by metaheuristic optimization Mazzeo Andrea (Università Degli Studi Di Napoli Federico II)
TA-1	Precipitation prediction for the Korean peninsula using latent diffusion models. Na Inchae (KIAPS)
TA-4	DiffScale: Towards continuous super-resolution in S2S wind forecasts Otero Noelia (Fraunhofer Heinrich-Hertz-Institut)
TA-3	A global empirical system for probabilistic seasonal climate prediction based on generative AI and CMIP6 models Palma Lluís (Barcelona Supercomputing Center)
TA-4	Post-processing of NWP model for Thunderstorm Detection using a ML approach Marco Di Giacomo (Politecnico Di Milano)
TA-3	ConvCastNet: a global weather forecasting convolutional encoder-decoder model Perkan Uroš (University of Ljubljana, Faculty Of Mathematics And Physics)
TA-2	KelpNet: Robust Multi-Task Learning for Satellite-Based Kelp Forest Monitoring Pierzyna Maximilian (Delft University Of Technology)
TA-3	Earth System Deep Learning for Subseasonal to Seasonal Forecasting Prapas Ioannis (National Observatory Of Athens)
TA-3	Forecasting Tropical Cyclones with Cascaded Diffusion Models Quilodran-casas Cesar (al posto di Pritthijit Nath) (University of Cambridge)
TA-4	Downscaling Global Gravity-based Groundwater Product (G3P) based groundwater storage change using machine learning Raza Ahsan (leibniz Centre For Agricultural Landscape Research (zalf))
TA-3	IDENTIFICATION OF CONTAMINANTS IN COASTAL WATERS USING BOTTOM OF ATMOSPHERE SENTINEL-2 DATA AND MACHINE LEARNING ALGORITHMS Razzano Francesca (University of Pathenope)
TA-3	Ensemble land cover maps for numerical weather prediction Rieutord Thomas (Met Éireann)
TA-3	Low-level Wind Shear prediction based on Machine Learning techniques: a case study of Palermo-Punta Raisi International Airport Ripesi Patrizio (ENAV)
TA-3	WATER AREAS SEGMENTATION BASED ON ENHANCED SEN2DWATER DATASET Russo Luigi (University of Pavia)
TA-3	Deep learning for climate-phenology modelling Sainte Fare Garnot Vivien (University of Zurich)
TA-3	Reconstructing and Nowcasting Wind Fields from Weather Station Observations using Transformers-PINNS San Bûn-kim (Universidad Carlos III de Madrid)
TA-2	The EUMETSAT EPS-SG MWI and MWS day-1 Machine Learning algorithms for snowfall and rainfall surface precipitation rate retrieval Sanò Paolo (CNR-ISAC)
TA-4	Using machine learning to accelerate a forward operator for cloud-affected solar satellite images Scheck Leonhard (Deutscher Wetterdienst)
TA-3	High-resolution adaptation of the AIFS model using a stretched-grid approach Schmeits Maurice (KNMI)
TA-2	Quantification and evaluation of the heat-stress hazard variability in Tuscany between 2003 and 2022 Sera Francesco (University of Florence)
TA-1	Sentinel-2 and random forest for ecosystem-habitat mapping: A case study over Lazio (Italy) Tartaglione Nazario (Italian Institute For Environmental Protection And Research)
TA-3	Studying Forecast Accuracy in Pangu-Weather through Ablation and Feature Enhancement To Defilia (Karlsruhe Institute of Technology)
TA-4	Deep 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-4	How AI-based emulators can broaden the application horizon of Lagrangian CFD Zago Vito (INGV)
TA-2	Addressing Societal Challenges with Earth Observation and Foundation Models Zappacosta Antony (DLR)
TA-2	Generative AI models applied to wildfires Cheng Sibo (Imperial College London)