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About the workshop

This virtual workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation by scientists, program managers, and leaders from the public, academic and private sectors who work in AI and environmental sciences. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” This year’s workshop is led by the NOAA Center for Artificial Intelligence (NCAI), a program in the formulation stage.

All time listed on this page is Mountain Time (UTC-6) by default. You can change to your local time zone on the right side of this page. Questions regarding the workshop can be addressed to ai.workshop@noaa.gov. View the participant handbook for how to navigate the workshop technology platforms.

Registration for the workshop is closed and this page is viewable to registered participants only. Please do not share your access code publicly.
Friday, September 17 • 8:30am - 9:15am
Virtual Poster Walk - Part VII
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Chairs: Philippe Tissot; Yoonjin Lee

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"

avatar for Yoonjin Lee

Yoonjin Lee

Post-doc, CIRA
avatar for Philippe Tissot

Philippe Tissot

Conrad Blucher Institute, Interim Director, Texas A&M University-Corpus Christi
Dr. Tissot is is the Interim Director for the Conrad Blucher Institute and an Associate Research Professor at Texas A&M University-Corpus Christi. Dr. Tissot is also a co-PI for the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, or AI2ES (ai2es.org). Dr. Tissot’s research focuses on the development and operational application of AI methods for analysis and prediction of coastal proces... Read More →


Nachiketa Acharya

Assistant Research Professor, Center for Earth System Modeling, Analysis, and Data (ESMAD), Department of Meteorology and Atmospheric Science Pennsylv

Fang Wang

Research Fellow, Auburn University


Friday September 17, 2021 8:30am - 9:15am MDT
Qiqochat N/A