Monday 16 May 2022

• Ivan Smiljanic: 3T Forum overview
• Martin Setvak: 1.38 micron bands – aerosols, ash and dust
• Ivan Smiljanic: MTG related case studies at EUMETSAT library

Tuesday 17 May 2022

• Stephan Bojinski: Next-generation MTG observation missions: products, resolution, timeliness
• Natasa Strelec Mahovic: Training (EUMeTrain, etc)
• Miguel Angel Martinez: Update on MTG era preparation
• Pao Wang: Refined analysis of the generation of AACP and related storm top phenomena
• Michaela Valachova: New „Convective Group“ as an advisory body for meteorologists
• Piotr Struzik: Winter storms in January 2022 in Poland
• Application demo: Jindrich Stastka: Satellite labelling tool
• Catarina Buriti: The 2021 training course of EUMETSAT in Brazil (online)
• Felix Erdmann: Automated Lightning Jump (LJ) detection from geostationary satellite data (online)
• Steven Goodman: Lightning Applications for Weather and Climate (online)
• Agostino Manzato: Convective initiation climatology on the Alps from lightning
• Application demo-Blanka Gvozdikova: Visualisation of gridded LI products

Wednesday 18 May 2022

• Maria Putsay: Studying VIIRS Cloud Phase RGB as proxy data for the future FCI imager – Monitoring convection
• John Mecikalski: Quantification of the Microphysical Signatures of Above Anvil Cirrus Plumes in GOES-16/-17 Infrared and Visible Imagery
• John Cooney: Automated Detection of Severe Thunderstorm Signatures Within Geostationary Satellite Imagery Using Deep Learning
• Dan Lindsey: Update on NOAA’s future geostationary satellite plans (online)

Thursday 19 May 2022

• ESSL: Report on first Expert Workshop: Low-level moisture detection
• Application demo: ESSL Weather Data Displayer
• Humberto Barbosa: Kinetic Energy Rate of the Rain Drops Based on the Impact Signal Analysis
• Application demo Jan Kanak: Status of development satellite application software for FCI and LI at SHMU in context of monitoring severe storms | MTGProc Setup and Usage Manual
• Ulrich Hamann: Using Machine Learning for Thunderstorm Nowcasting
• Xavier Calbet: Detecting water vapor features from GEO orbit
• Olex Kryvobok: Detection of extreme severe weather using high resolution global lightning detection network and satellite data
• Kyle Itterly: Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters using a Deep Neural Network
• Fabian Senf: Open Source Developments for the Joint Assessment of Cloud Characteristics in Simulations and Satellite Observations
• Kris White: Integrated Approaches For Assessing Evolving Weather Threats in the Convective Continuum
• Thomas August: hyperspectral sounders
• Ralph Petersen: Recent Enhancements, Applications and Validation of CIMSS NearCasts (online)

Friday 20 May 2022

• Pilar Ripodas: New software version NWC SAF GEO v2021 (online)
• Jean-Marc Moisselin, Fédéric Autonès, Michaël Claudon: NWCSAF Convection Products
• Monika Pajek: In-depth multianalysis of extreme convective cases in the last year in Poland
• Martin Setvak: Waves generated by Hunga Tonga eruption

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