22nd Conference on Artificial Intelligence for Environmental Science

Abstract Information

Abstracts are closed! The deadline was 31 August 2022 at 11:59 PM EDT.

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

The 22nd Conference on Artificial Intelligence for Environmental Science is sponsored by the American Meteorological Society and organized by the AMS Committee on Artificial Intelligence Applications to Environmental Science.

Call for Papers

Papers for the 22nd Conference on Artificial Intelligence for Environmental Science are solicited on the following:

  • AI for Downscaling and Bias Correction;
  • AI for Extreme Weather Events;
  • AI for Radars: Observations, Data Processing, Classification, Estimation, and Nowcasting;
  • AI in Weather and Climate Modeling: Bridging the Gap between Theoretical Advances and Production Use;
  • AMA: Ask Me (us) Anything Related to AI Applications;
  • Applications of Machine Learning to Remote Sensing of Aerosol, Cloud, and Precipitation Properties;
  • Artificial Intelligence Data Fusion for Improved Weather and Climate Prediction;
  • Artificial Intelligence for Environmental Science;
  • Artificial Intelligence for Feature Detection;
  • Artificial Intelligence for Subseasonal-to-Seasonal (S2S) Prediction;
  • Broad Challenges and Opportunities for Artificial Intelligence in the Environmental Sciences;
  • Causal Discovery and Causal Reasoning in Atmospheric and Oceanic Science;
  • Climate Science Insights from Artificial Intelligence;
  • Exploring the "Black Box" of Machine Learning in Atmospheric Science;
  • Generative Modeling and Representation Learning;
  • Lessons Learned on Machine Learning Applications;
  • Live Showcase of AI Systems;
  • Machine Learning Applications in the Energy Sector;
  • Machine Learning for Wildfire Prediction, Modeling, and Processes;
  • Major Artificial Intelligence for Environmental Science Initiative Updates;
  • ML-Based Pattern Recognition, Detection, and Prediction of Extreme Climate Events Induced by Teleconnections;
  • Open Datasets for Artificial Intelligence Research and Applications in Earth and Atmospheric Sciences;
  • Open Environmental Datasets for AI Applications: Benchmarking Needs, Frameworks, Lessons Learned;
  • Physics-Informed Machine Learning;
  • Time Series Machine Learning Applications;
  • Towards Operationalizing AI-based Weather Forecast and Decision Support Products;
  • Trustworthy AI;
  • Use of Machine Learning in Advancing Model Diagnostics and Forecast Verification.

Joint Sessions

  • Big Data, Big Computing, Bigger Science: High-Performance Computing Enabled Artificial Intelligence/Machine Learning in Earth System Science (Joint between the Ninth Symposium on High Performance Computing for Weather, Water, and Climate and the 22nd Conference on Artificial Intelligence for Environmental Science);
  • Cloud Computing for Big Data in Atmosphere, Ocean, and Climate (Joint with 22nd Conference on Artificial Intelligence for Environmental Science, 13th Symposium on Advances in Modeling and Analysis Using Python, and the Ninth Symposium on High Performance Computing for Weather, Water, and Climate);
  • Developing Cloud-based Tools for Data Analysis and Archiving (Joint with 22nd Conference on Artificial Intelligence for Environmental Science, 13th Symposium on Advances in Modeling and Analysis Using Python, and the Ninth Symposium on High Performance Computing for Weather, Water, and Climate);
  • FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research and Operations (Joint between the 26th Conference of Atmospheric Science Librarians International, the 22nd Conference on Artificial Intelligence for Environmental Science, and the 13th Symposium on Advances in Modeling and Analysis Using Python);
  •   FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research and Operations (Joint with 26th Conference of Atmospheric Librarians International, the 22nd Conference on Artificial Intelligence for Environmental Science, the 13th Symposium on Advances in Modeling and Analysis Using Python, and the Committee on Open Environmental Information Services);
  • Meeting Data Stewardships Needs for Heterogeneous Earth and Atmospheric Science Data via the Exploitation of Emerging Technologies (Joint with 26th Conference of Atmospheric Librarians International and the 22nd Conference on Artificial Intelligence for Environmental Science);
  • Using Artificial Intelligence to Analyze Satellite Earth Observations (Joint between the 22nd Conference on Artificial Intelligence for Environmental Science and the 19th Annual Symposium on New Generation Operational Environmental Satellite Systems).

Student Award Opportunities

22AI 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 (christina.e.kumler@noaa.gov) and David John Gagne (dgagne@ucar.edu).