26th Conference on Artificial Intelligence for Environmental Science

Abstract Information

Abstracts are closed! The deadline was 11 August 2026 at 11:59 PM ET

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

The 26th 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 26th Conference on Artificial Intelligence for Environmental Science is soliciting papers and posters from the community on the following topics:

  • Advances in Innovation and Operational Machine Learning Weather Prediction
  • Advances in Multi-Scale Machine Learning Downscaling Methods and Evaluation
  • AI Applications in the Energy Sector (Joint between the 18th Conference on Weather, Water, Climate, and the New Energy Economy and the 26th Conference on Artificial Intelligence for Environmental Science)
  • AI For Land Systems: Advances in Machine Learning for Land Modeling and Prediction
  • AI Innovations for NOAA’s Earth System Science and Forecasting
  • AI-Driven Innovations in Subseasonal-to Seasonal-to-Decadal (S2S/S2D) Forecasting: From Foundational Models to Explainable Predictability
  • AI-Driven Transformation of Weather and Climate Risk Management: From Hazards to Financial Decisions (Joint between the Fifth Forum on Extreme Weather and Climate Linked Economics and the 26th Conference on Artificial Intelligence for Environmental Science)
  • AI/ML for Applied Climatology (Joint between the 26th Conference on Artificial Intelligence for Environmental Science and the 31st Conference on Applied Climatology)
  • Artificial Intelligence and the Coastal Environment (Joint between the 26th Conference on Artificial Intelligence for Environmental Science and the 25th Symposium on the Coastal Environment)
  • Artificial Intelligence for Clouds, Aerosol, and Precipitation (Joint between the 26th Conference on Artificial Intelligence for Environmental Science and the Fourth Symposium on Cloud Physics)
  • Artificial Intelligence for Data Assimilation (AI4DA)
  • Artificial Intelligence for Disaster Prediction, Response, And Resilience
  • Artificial Intelligence for Earth Science
  • Artificial Intelligence for Radar
  • Artificial Intelligence for Satellite Observations (Joint between the 26th Conference on Artificial Intelligence for Environmental Science and the 28th Conference on Satellite Meteorology, Oceanography, and Climatology)
  • Artificial Intelligence for Urban Climate Research
  • Artificial Intelligence for Wildfire Forecasting and Management
  • Artificial Intelligence in Boundary Layer Studies (Joint between the 26th Symposium of Boundary Layers and Turbulence and 26th Conference on Artificial Intelligence for Environmental Science)
  • Cross-Fertilization of Machine Learning and Data Assimilation (Joint between the 31st Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS) and the 26th Conference on Artificial Intelligence for Environmental Science)
  • Deep learning methods for improving weather forecasts and applications
  • Dual-polarization Weather Radar Applications including Machine Learning and AI (Joint between the Fourth Symposium on Cloud Physics, the Second Symposium on Weather Radar, and the 26th Conference on Artificial Intelligence for Environmental Science)
  • Exploring the Pipeline from Trustworthy AI to Effective Delivery of Decision-Support Services
  • Large Language Models (LLMs), Natural Language Processing (NLP) and Agentic AI in the Weather Enterprise
  • Large Temperature Models: AI-Driven Near-Surface Air Temperature at Human-Experience Scales
  • Machine Learning for Next-Generation Numerical Weather Prediction: Hybrid Modeling, Data Assimilation, and Forecast Enhancement (Joint between the 34th Conference on Weather Analysis and Forecasting (WAF)/30th Conference on Numerical Weather Prediction (NWP) and the 26th Conference on Artificial Intelligence for Environmental Science)
  • Machine Learning for Quality Control and Health Monitoring of Surface Observing Networks
  • Research Frontiers in Machine Learning Weather Prediction
  • Testing, Metrics, and Validation (TMV) for Artificial Intelligence for Numerical Weather Prediction (AI4NWP)

Joint Sessions

  • Artificial intelligence in boundary layer studies (Joint with the 26th Symposium on Boundary Layers and Turbulence)

Student Award Opportunities

 

Student Presentation Awards

The 26th Conference on Artificial Intelligence for Environmental Science is proud to provide outstanding student presentation awards at the AMS 107th Annual Meeting in Denver, CO 10-14 January 2027. Monetary awards of up to $200 will be distributed for oral presentations and poster presentations in addition to a PDF certificate from AMS. Students must be enrolled at a college or university at the time of submission and must be the lead author and personally present the work at the meeting. Submitters should indicate their eligibility for student awards when submitting their abstracts. Award recipients will be informed of the committee's decision by early February 2027.

Conference Contacts

For additional information, please contact program chairs: Kyle Hilburn ([email protected]), Zhonghua Zheng ([email protected])