3rd NOAA Workshop on Leveraging AI in Environmental Sciences

Chairs: Philippe Tissot; Yoonjin Lee

Posters:
Ali Muhamed Ali – "A Transform Model for Expanding Velocity Measurement Corrections by Observed Time Sequences to Future and Past Ocean Model Predictions"
Maryam Rahnemoonfar – "Semantic Scene Understanding after Natural Disasters using Autonomous Aerial Robots"
Nachiketa Acharya, Kyle Joseph Chen Hall – "PyMME: A Python Platform For Multi-Model Ensemble for Climate Predictions"
Tianle Yuan – "The First Global Map of Ship-tracks Reveals a Nexus of Cloud Physics, Environmental Policy, and Maritime Shipping"
Weiming Hu – "Using Machine Learning to Find Better Weather Analogues: Analog Ensemble with Deep Networks"
Hsin-Yi Lin – "Fourier Reservoir Computing for data-driven prediction of multi-scale coupled quasi-geostrophic dynamics"
Alex Ayala – "Conditioned Emulation of Global Climate Models With Generative Adversarial Networks"
Arthur Grundner – "Machine learning-based parametrizations for the ICON model"
Matthew Chantry – "Parametrisation emulators for operational weather forecasting"
Burlen Loring – "Applied Machine Learning Based Extreme Event Detection on Large Scale Supercomputing Facilities with TECA"
Stephan Hoyer – "Machine learning accelerated computational fluid dynamics"
Fang Wang – "On deep learning bias correction for GCMs daily temperature outputs"
Nal Kalchbrenner – "Neural Precipitation Model for Longer Term Forecasting"
Samuel Olumide AKANDE – "Modelling Earth-Observation Assessments and Adaptation of North-Atlantic Coast to Extreme Climate and Ocean Events"