Papers for the 21st Conference on Artificial Intelligence for Environmental Science are solicited on the following:
AI for Radars: Observations, Data Processing, Classification, Estimation, and Nowcasting
AI for Statistical Parameterization of Unresolved Processes in Earth System Models
AI in Weather and Climate Modeling: Bridging the Gap Between Theoretical Advances and Production Use
Applications of Artificial Intelligence for Improved Estimation and Prediction of Weather and Climate
Applications of Machine Learning to Remote Sensing of Aerosol, Cloud, and Precipitation Properties
Artificial Intelligence for Environmental Science
Artificial Intelligence for Feature Detection
Artificial Intelligence for Seasonal to Subseasonal (S2S) Prediction
Artificial Intelligence, Ethics, and Inclusion for Geosciences
Climate Data Analytics and Software for Food Security
Deep Learning for LEO-GEO Satellite Observations
LSTM and Other Time Series Machine Learning Methods for Time Series Prediction
ML-based Pattern Recognition, Detection and Prediction of Extreme Climate Events Induced by Teleconnections
Observationally-constrained digital twins for the Earth system: Methods and applications
Open Datasets for Artificial Intelligence Research and Applications in Earth and Atmospheric Sciences
Physical Interpretability with Machine Learning
Physics-Informed Machine Learning
The Exploitation of Emerging Technologies in Science Data Stewardship
Towards Operational Precipitation and Convective Weather Nowcasting Leveraging Deep Learning
Using Artificial Intelligence to Address the Impacts of Climate Change
Using High-performance Computing (HPC) to Accelerate Machine Learning and Deep Learning
Joint Sessions
Machine Learning applications in the Coastal Environment (Joint between the 21st Conference on Artificial Intelligence for Environmental Science and the 20th Symposium on the Coastal Environment)
Using Artificial Intelligence to Exploit Satellite Earth Observations (Joint between the 18th Annual Symposium on Operational Environmental Satellite Systems and the 21st Conference on Artificial Intelligence for Environmental Science)
Statistics and Machine Learning for Climate Science (Joint between the 27th Conference on Probability and Statistics and the 21st Conference on Artificial Intelligence for Environmental Science)
Predictions of high-impact weather using machine learning (Joint between the 31st Conference on Weather Analysis and Forecasting (WAF)/27th Conference on Numerical Weather Prediction (NWP) and the 21st Conference on Artificial Intelligence for Environmental Science)
Meeting Data Stewardship's Needs for Heterogeneous Earth and Atmospheric Science Data via the Exploitation of Emerging Technologies (Joint between the 38th Conference on Environmental Information Processing Technologies and the 21st Conference on Artificial Intelligence for Environmental Science)
Life on the Edge: Edge Computing and the Internet of Things for Environmental Information Processing (Joint between the 38th Conference on Environmental Information Processing Technologies and the 21st Conference on Artificial Intelligence for Environmental Science)
Developing Cloud-based Tools for Data Analysis and Archiving (Joint between the 38th Conference on Environmental Information Processing Technologies and the 21st Conference on Artificial Intelligence for Environmental Science)
Integration of machine learning/artificial intelligence into numerical weather prediction (Joint between the 31st Conference on Weather Analysis and Forecasting (WAF)/27th Conference on Numerical Weather Prediction (NWP) and the 21st Conference on Artificial Intelligence for Environmental Science)
Cloud Computing for Big Data in Atmosphere, Ocean, and Climate (Joint between the 38th Conference on Environmental Information Processing Technologies and the 21st Conference on Artificial Intelligence for Environmental Science)
Comparison of Machine Learning with Simple Statistical Methods (Joint between the 27th Conference on Probability and Statistics and the 21st Conference on Artificial Intelligence for Environmental Science)
Data Assimilation Methodology Advancement for Numerical Weather Prediction (Joint between the 26th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS) and the 21st Conference on Artificial Intelligence for Environmental Science)
Actionable Hydrology Enabled by AI and Process-Based Modeling (Joint between the 36th Conference on Hydrology and the 21st Conference on Artificial Intelligence for Environmental Science)
13 Natural Language Processing Machine Learning in the Weather Enterprise (Joint between the 12th Conference on Transition of Research to Operations and the 21st Conference on Artificial Intelligence for Environmental Science)
Student Award Opportunities
21AI 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.