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This list includes #AGU21 sessions that are directly or might be relevant to machine learning research in Earth and Space science community.

– The first section (green shaded) includes sessions that are directly relevant to machine learning research in ESS.
– The second section (blue shaded) includes sessions that might be relevant to machine learning in ESS with the session description encourages AI/ML as part of the topic together with other topics.

You can filter the table by the primary sections within AGU to narrow down the list and directly visit the session page by clicking the link to each session.

Feel free to add your sessions that are relevant using comment mode. The sheet is created by Yuhan (Douglas) Rao at North Carolina Institute for Climate Studies.
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AGU Primary SectionSession Title
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Atmosperic SciencesA001 – Addressing Challenges for the Next Generation of Earth System Models
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Atmosperic SciencesA002 – Advanced Methods for Systematic Evaluation and Improvement of Earth System Models
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Atmosperic SciencesA012 – AI in Weather and Climate Modeling: From Theoretical Advances to Operational Use
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Atmosperic SciencesA014 – AI Techniques for Improving Predictive Understanding of Climate Modes of Variability and Their Teleconnections
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Atmosperic SciencesA075 – Machine Learning for Weather and Climate: Predictions and Applications
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BiogeosciencesB004 – Advances in machine learning and deep learning for monitoring terrestrial ecosystems
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BiogeosciencesB006 – Advances in remote sensing for monitoring biodiversity change: Integrating data and models across scales and technologies
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BiogeosciencesB041 – Improving Earth System Predictability: New Mechanisms, Feedbacks, and Approaches for Predicting Global Biogeochemical Cycles in Earth System Models
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Earth and Planetary Surface ProcessesEP027 – Proven AI/ML applications in the Earth Sciences
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Earth and Planetary Surface ProcessesG012 – Recent Advances in SAR and InSAR Data Processing, Big Data Analysis and Earth Science Applications
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Global Environmental ChangeGC003 – Addressing Global and Regional Sustainability Challenges with Satellite Data and Machine Learning
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Global Environmental ChangeGC032 – Deep Learning for Climate Science and Weather Prediction
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Global Environmental ChangeGC037 – Emerging Agricultural Monitoring and Assessment Trends
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Global Environmental ChangeGC054 – Machine Learning approaches for Earth science applications in addressing environmental development challenges
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HydrologyH003 – Advances in data-driven approaches to forecasting hydrologic data: statistical and Artificial Intelligence models
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HydrologyH009 – Advances in Process-based and Data-driven Models for River Corridor and Watershed Systems
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HydrologyH011 – Advances in Remote Sensing and Artificial Intelligence for Resilient Socio-Environmental Systems
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HydrologyH013 – Advances in soil modeling through machine learning and data analytics
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HydrologyH026 – Application of Machine/Deep Learning in Earth, Energy and Environmental Modeling
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HydrologyH027 – Application of Machine/Deep Learning in Hydrogeologic Modeling
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HydrologyH029 – Applications of Data Integration, Inverse Methods, and Machine Learning in Hydrogeophysics and Biogeochemistry
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HydrologyH030 – Assessment of hurricane impacts on watershed hydrology and water quality under changing climate using various data-model and field measurement approaches
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HydrologyH032 – Atmospheric water resources: remote sensing, AI, mechanisms, and technologies
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HydrologyH047 – Emerging Methods for Subsurface Monitoring and Characterization of Contaminated Sites
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HydrologyH059 – Harnessing earth system data for understanding and predicting climate extremes in agriculture and urban systems
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HydrologyH062 – Hydroinformatics: Computational Intelligence, Sensing, Data Analytics, Machine Learning, and Scientific Computing
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HydrologyH069 – Machine Learning and Process-Based Models for Understanding and Predicting Watershed and River Basin Function
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HydrologyH070 – Machine learning applications in catchment hydrology
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HydrologyH071 – Machine Learning Applications in Geosciences Modeling and Measurement
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HydrologyH081 – Physics-informed Machine Learning in Hydrology
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HydrologyH086 – Precipitation Through the Eyes of Machine Learning and Advanced Statistics: Remote Sensing, Uncertainties and Variability
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HydrologyH096 – Scientific Machine Learning Methods for Understanding Coupled Processes and Material Properties in Heterogeneous Porous Media Across Scales
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HydrologyH123 – Watersheds as Complex Systems: Top-down and Bottom-up Approaches
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Earth and Space Science InformaticsIN002 – Accelerating Artificial Intelligence in Earth Science: Parallel Computing and Big Earth Data
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Earth and Space Science InformaticsIN011 – Applications of hydroinformatics approaches and techniques to water resources management in agriculture
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Earth and Space Science InformaticsIN012 – Applications of unsupervised machine learning to discover patterns in geological and geophysical data
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Earth and Space Science InformaticsIN025 – Growing Opportunities for Multi-Party Collaborations in Artificial Intelligence and Machine Learning for Science Research
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Earth and Space Science InformaticsIN026 – Knowledge graph construction and application in geosciences
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Earth and Space Science InformaticsIN027 – Leveraging Deep Generative Models and Self-supervised Learning techniques in Earth Science Observations
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Earth and Space Science InformaticsIN029 – Open Data and Artificial Intelligence (AI) Utilizing Earth Observations for Decision Support
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Earth and Space Science InformaticsIN031 – Process-based modeling and AI/ML for Predicting Global Environmental Change
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Earth and Space Science InformaticsIN036 – Tools, Databases, and Data Analytics for Solar and Planetary Sciences in the Big-Data Era
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Earth and Space Science InformaticsIN037 – The Past, Present and Future of X-informatics
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Nolinear GeophysicsNG001 – Advances in Computational Analysis in Geophysical Processes: Applied Math Perspectives on Multiscale and Stochastic Models
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Nolinear GeophysicsNG002 – Advances in Computational Analysis in Geophysical Processes: Applied Mathematics Perspectives on Prediction, Uncertainty Quantification, and State Estimation
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Nolinear GeophysicsNG006 – Earth System Dynamic Intelligence across emerging Mathematical Geophysics and Information Technologies
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Nolinear GeophysicsNG009 – Machine Learning for Data Assimilation Problems
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Nolinear GeophysicsNG010 – Machine Learning in Space Weather
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Nolinear GeophysicsNG012 – Neural Earth System Modelling
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Nolinear GeophysicsNG015 – TrustWorthy AI: Advances, Applications, and Assessing Uncertainties
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Natural HazardsNH006 – Artificial intelligence for natural disaster management and relief
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Ocean SciencesOS011 – Machine Learning in Coastal and Oceanographic Remote Sensing
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Planetary SciencesP020 – Machine Learning and Data Science Methods for Planetary Science
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SeismologyS005 – Decoding Geophysical Signatures with Machine Learning: Novel Methods and Results
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Space Physics and AeronomySA021 – Transforming Space Physics and Aeronomy through Data Science
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Space Physics and AeronomySH011 – Enhancing heliophysics and space weather research by improving information architecture
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Science and SocietySY042 – Towards Earth System Digital Twins
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TectonophysicsT013 – Geophysical constraints on crustal stress and structure in the age of machine learning
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TectonophysicsT021 – Machine learning algorithms for lithospheric modelling
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Volcanology, Geochemistry and Petrology
V029 – Volcano Hazard Monitoring from Space using Statistical Methods and Machine Learning
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Atmosperic SciencesA006 – Advances in Radar Remote Sensing of Clouds and Precipitation: Observations, Data Processing, Weather and Water Model Applications
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Atmosperic SciencesA036 – Cloud observations and measurements from remote sensing instruments
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Atmosperic SciencesA052 – Extratropical large-scale atmospheric circulation variability
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Atmosperic SciencesA071 – Large Ensemble Climate Model Simulations as Tools for Exploring Natural Variability, Change Signals, and Impacts
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Atmosperic SciencesA096 – Remote Sensing of Fire Processes and Biomass Burning (BB) Emissions
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Atmosperic SciencesA098 – Sources and impacts of primary and secondary biological aerosols
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Atmosperic SciencesA100 – Subseasonal to Seasonal Climate Prediction, Processes, and Services
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Atmosperic SciencesA105 – The Madden-Julian Oscillation and Convectively Coupled Waves in the Tropics: Observations, Theory, Modeling, and Prediction
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Atmosperic SciencesA112 – Advancing Aerosol Remote Sensing into the Next Decade
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Atmospheric and Space ElectricityAE005 – Meteorology and climatology of atmospheric electricity and lightning
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BiogeosciencesB003 – Advances in large-scale studies in watershed biogeochemistry
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BiogeosciencesB011 – Advancing our understanding of vegetation stress and its feedbacks with energy, water, and carbon fluxes
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BiogeosciencesB028 – Dynamics Soil Information Systems: where we are, where we need to go, and why
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BiogeosciencesB029 – Ecological Forecasting in the Earth System
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BiogeosciencesB036 – Geoclimatic Drivers of Nitrous Oxide (N2O) and Nitric Oxide (NO) Emissions: From Microscale Variability to Global Influences
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BiogeosciencesB043 – Integrating and Advancing Understanding of Coastal Ecosystem Structure, Function and Dynamics
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BiogeosciencesB054 – New Advances in Land Carbon Cycle Modeling
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BiogeosciencesB056 – Observing and modeling spatial gradients in forest processes
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BiogeosciencesB061 – Remote Sensing for Soil Health
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BiogeosciencesB070 – Sun-induced chlorophyll fluorescence as a proxy of photosynthesis: measurements, modeling, and applications from field, airborne, and satellite platforms
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CryosphereC025 – Observations and Models of Glacier Change
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Study of Earth's Deep InteriorDI002 – Advances in High Performance Computing in Solid Earth and Terrestrial Systems
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Study of Earth's Deep InteriorDI008 – Integrative Perspectives on Present-day Mantle Structure
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Global Environmental ChangeGC006 – Advances in Computational Methods for Geologic CO2 Sequestration
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Global Environmental ChangeGC033 – Detection and Attribution of Anthropogenic Climate Change and Extreme Weather and Climate Events
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Global Environmental ChangeGC052 – Integrated investigations of hydroclimate variability and extremes across multiple scales: processes and implications over complex terrains
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Global Environmental ChangeGC070 – Predictive Understanding of Compound and Cascading Extremes and their Impacts
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GeoHealthGH014 – Monitoring, Modeling and Mapping of GeoHealth Indicators for Environmental Pathogens and Cyanobacterial Harmful Algal Blooms
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HydrologyH001 – Advancements in Watershed Modeling to Support Water Management
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HydrologyH010 – Advances in quantifying impacts and extents of land-use/land-cover change on hydrology and climate change
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HydrologyH012 – Advances in Remote Sensing of Flood Dynamics
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HydrologyH020 – Advancing flood characterization, modeling and communication
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HydrologyH021 – Advancing Land Surface Models for Hydrological and Environmental Applications
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HydrologyH038 – Characterizing Spatial and Temporal Variability of Hydrological and Biogeochemical Processes Across Critical Zone Systems and Scales
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HydrologyH043 – Critical Interfaces in the Critical Zone: Process Understanding through Models, Observations, and Experiments
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HydrologyH045 – Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models
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Earth and Space Science InformaticsIN007 – Advancing Scientific Data Visualization With Emerging Ecosystems of Technology and Practice
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Earth and Space Science InformaticsIN016 – Cloud Computing's Support for Earth and Space Informatics has Become a Sophisticated Solution to Computing Needs