1st MONAN Meeting: AI for atmosphere/ocean dynamics - June 19th to 21th, 2024

Presentations

Day 1 - 19 June

Time Topic
09:00-10:00 MONAN project (Dr. Saulo R. Freitas, INPE)
10:00-10:15 Coffee-break
10-20-11:20 Nowcasting by radar images using a machine-learning approach (Prof. Fabrı́cio P. Härter, UFPel)
11:20-12:20 CIMAER (Brazil): Mission, activities, developments (FAB: Brazilian Air Force)
12:00-14:00 Lunch
14:00-15:00 Earth-2 project (Dr. Pedro M. Cruz e Silva, Nvidia)
15:00-16:00 Nowcasting: Developments and research (Prof. Gutemberg B. França, UFRJ)
16:00-16:15 Coffee-break
16:20-17:20 Nowcasting: Developments and research (Dr. Alan J. P. Calheiros, INPE)

Day 2 - 20 June

Time Topic
09:00-10:00 Data assimilation by machine learning approaches (Haroldo F. de Campos Velho, INPE)
10:00-10:15 Coffee-break
10-20-11:20 DDNet: Prediction and data assimilation (Prof. Fangxin Fang, Imperial College London)
11:20-12:20 On the potential and limitations of current ML forecast models (Dr. Massimo Bonavita, ECMWF)
12:00-14:00 Lunch
14:00-15:00 FourCastNet system (Dr. Pedro M. Cruz e Silva, Nvidia)
15:00-16:00 GOES16’s ML Models Nowcasting (Prof. Eduardo B. da Silva, CEFET/RJ)
16:00-16:15 Coffee-break
16:20-16:50 Hybrid modeling: Differential equations + AI (Dr. Haroldo F. de Campos Velho and Prof. Gutemberg B. França, INPE / UFRJ)
16:50-17:20 AI systems for operational climate impact (Dr. Gabriel Perez, MeteoIA)

Day 3 - 21 June

Time Topic
09:00-10:00 Multi-scale physical modeling and AI for solving partial differential equations (Prof. Fangxin Fang, Imperial College London)
10:00-10:15 Coffee-break
10-20-11:20 Forecasting Global Weather with Graph Neural Networks (Dr. Ryan Keisler – OpenEarthAI)
11:20-11:40 Predictability by machine learning (Dr. Haroldo F. de Campos Velho, INPE)
11:40-12:10 Book presentation: “Computational Intelligence Applied to Inverse Problem in Radiative Transfer”
12:10-13:30 Lunch
13:30-15:30 Round Table: AI and MONAN project