23rd Conference on Artificial Intelligence for Environmental Science

Abstract Information

Abstracts are closed! The deadline was 31 August 2023 at 11:59 PM EDT.

Abstract Fee and Author Instructions
All presenters must also register for the meeting.

The 23rd Conference on Artificial Intelligence for Environmental Science is sponsored by the American Meteorological Society and organized by the AMS Committee on Artificial Intelligence .

Call for Papers

The 23rd Conference on Artificial Intelligence for Environmental Science is soliciting papers and posters from the community on the following topics:

  • Advances in the Use of Artificial Intelligence in Support of Aviation, Range, and Aerospace Meteorology
  • AI Advances in Tropical Meteorology: Tropical Cyclones, Sub-seasonal Phenomena, and More
  • AI for Radars: Observations, Data Processing, Classification, Estimation, and Nowcasting 
  • AI for Statistical Parameterization of Unresolved Processes in Earth System Models
  • Applications of Artificial Intelligence for Improved Estimation and Prediction of Extreme Precipitation and/or Drought in Weather and Climate
  • Applications of Artificial Intelligence to the Coastal Environment
  • Applications of Machine Learning to Remote Sensing of Aerosol, Cloud, and Precipitation Properties
  • Applying Uncertainty Quantification Methods to Environmental Artificial Intelligence Models
  • Artificial Intelligence for Actionable Insights and Applications in Climate Science
  • Artificial Intelligence for Environmental Science
  • Big Data, Big Computing, Bigger Science: High-Performance Computing Enabled Artificial Intelligence/Machine Learning in Earth System Science
  • Challenges and Opportunities for Interdisciplinary Communication in AI and Climate
  • Data Quality and Provenance for Artificial Intelligence (AI) and Machine Learning (ML) Applications
  • Explainable Artificial Intelligence (XAI) for Environmental Science
  • From Data to Decision: AI at the Intersection of Meteorology, Climate, and Society
  • Improvements to Subseasonal-to-Seasonal (S2S) Predictions using Novel Statistical and Artificial Intelligence/Machine Learning (AI/ML) Methods
  • Improving AI literacy for the weather, water, and climate enterprise
  • Language Transformer,  ChatGPT and Other Natural Language Processing Machine Learning in the Weather Enterprise
  • Leveraging Unsupervised Machine Learning in Environmental Science
  • LSTM and Other Time Series Machine Learning Methods for Time Series Prediction
  • Machine Learning Applications in the Energy Sector
  • Machine Learning for Smoke and Wildfires
  • Narrating Artificial Intelligence Methods and Advancements for Environmental Science through Images and Storytelling
  • Open Datasets for Artificial-intelligence Research and Applications in Earth and Atmospheric Sciences
  • Physical Interpretability of Empirical Models
  • Predicting Sea-Level Rise Using Machine Learning Methodology and Economics Models
  • Pure AI and Data-Driven Weather Forecasts
  • Towards Operationalizing AI/ML Weather Forecast and Decision Support Products
  • Trustworthy, Responsible, and Ethical AI
  • Using Artificial Intelligence to Analyze Satellite Earth Observations
  • Visualization Tools and Products from Machine Learning and Artificial Intelligence Models

Student Award Opportunities

23AI will include a student competition for all oral presentations (open to undergraduate and graduate students), with award certificates and cash prizes. If you are a student and would like to enter the competition, please be sure to select this option when you submit your abstract on the AMS website.

Conference Contacts

For additional information, please contact the program chairs:  Christina Kumler ([email protected]) Aaron Hill ([email protected]) Kyle Hilburn ([email protected])