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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.
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Thursday, September 16 • 4:00pm - 4:45pm
Virtual Poster Walk - Part VI

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Video will become available 10 minutes before session start


Chairs: Rob Redmon; Yoonjin Lee

Posters:
Linsey Passarella – "The Use of a Deep Neural Network to Represent Radiation Transfer Calculations in the E3SM"
Muhammed Sit – "Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks"
Marwa Majdi – "Automatic Fog Detection and Visibility Estimation From Camera Images Using Deep Learning Features"
Micheal Simpson – "Deep Learning and Radar-Based Quantitative Precipitation Estimates"
Shiheng Duan – "Predicting daily snow water equivalent with machine learning models"
Stephen A. Shield – "Diagnosing Supercell Environments: A Machine Learning Approach"
Amy Mueller – "Multisensor and data science approaches to enable affordable, scaleable nutrient sensing in marine environments for coastal monitoring and aquaculture management"
Li Xu – "Improve the sub-seasonal forecast skills by the deep learning: a preliminary study by the GEFSv12 extended forecast"
Thomas Y. Chen – "Comparing Arctic sea ice drift prediction results via multiple machine learning methodologies"

Chairs
avatar for Yoonjin Lee

Yoonjin Lee

Post-doc, CIRA
avatar for Robert Redmon

Robert Redmon

Scientist, NOAA / NCEI
Senior scientist with NOAA's National Centers for Environmental Information (NCEI)

Speakers
avatar for Thomas Y. Chen

Thomas Y. Chen

Student, Academy for Mathematics, Science, and Engineering
MM

Marwa Majdi

Postdoc, University of North Dakota
AM

Amy Mueller

Northeastern University
sensors, coastal nutrient pollution, data science

Exhibitors


Thursday September 16, 2021 4:00pm - 4:45pm MDT
Qiqochat N/A
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