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Kavli Institute for Theoretical Physics
Lessons and Outlook for ML Parameterization of Sub Grid Atmospheric Physics From the Vantage of Emulating Cloud Superparameterization - Mike Pritchard

Exploring machine learning for atmospheric physics parameterization, focusing on cloud superparameterization emulation. Discusses challenges, strategies, and lessons learned in applying ML to climate modeling.
- YouTube
- 42 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Benefits of Saying I Don't Know When Analyzing and Modeling the Climate System With ML - Elizabeth Barnes

Explore the benefits of acknowledging uncertainty in climate system analysis using machine learning. Learn about state-dependent predictability and controlled abstention networks for improved modeling accuracy.
- YouTube
- 46 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Contained Chaos - Ensemble Consistency Testing for the Community Earth System Model

Explore ensemble consistency testing for climate models, focusing on the Community Earth System Model. Learn about statistical methods to evaluate model changes and ensure software quality in climate simulations.
- YouTube
- 45 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Interpretable and Generalizable Machine Learning for Fluid Dynamics - Steven Brunton

Explore interpretable and generalizable machine learning techniques for fluid dynamics, focusing on sparse identification of nonlinear dynamics and incorporating physical constraints for improved accuracy.
- YouTube
- 42 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Causal Inference for Earth System Sciences - Jakob Runge

Exploring causal inference techniques for Earth system sciences, focusing on advanced methods to uncover complex relationships in climate data and improve understanding of multi-scale processes.
- YouTube
- 45 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Deep Unsupervised Learning for Climate Informatics - Claire Monteleoni

Exploring deep unsupervised learning techniques for climate data analysis, focusing on innovative approaches to extract insights from complex Earth system observations and modeling data.
- YouTube
- 46 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Representation Learning and Custom Loss Functions for Atmospheric Data - Christian Lessig

Explores representation learning and custom loss functions for atmospheric data analysis, advancing climate science through machine learning techniques to extract insights from complex Earth system observations.
- YouTube
- 43 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Exploring Physical and Machine Learning Approaches for Stochastic Modeling and Ensemble Prediction of Weather and Climate

Explores innovative approaches combining physical principles and machine learning for stochastic modeling and ensemble prediction in weather and climate systems, addressing challenges in multi-scale processes and future projections.
- YouTube
- 42 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Data-Driven Subgrid-Scale Modeling - Stability, Extrapolation, & Interpretation

Explores data-driven subgrid-scale modeling in climate science, focusing on stability, extrapolation, and interpretation. Discusses advancements in theoretical understanding and the potential of machine learning to address complex climate processes.
- YouTube
- 39 minutes
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- Free Video
Kavli Institute for Theoretical Physics
Estimating Oxygen in the Southern Ocean Using Argo Temperature and Salinity - Donata Giglio

Explore innovative techniques for estimating oxygen levels in the Southern Ocean using Argo float data. Learn how temperature and salinity measurements contribute to understanding ocean biogeochemistry and climate change impacts.
- YouTube
- 42 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Atmospheric Radiation - Using Machine Learning for the Unknowable and Uncomputable - Robert Pincus

Exploring machine learning applications in atmospheric radiation to tackle unknowable and uncomputable aspects, enhancing climate modeling and understanding of Earth's energy balance.
- YouTube
- 45 minutes
- On-Demand
- Free Video
Kavli Institute for Theoretical Physics
Relating Coastal Sea Level to Its Drivers in the Interior - Abigail Bodner

Explore the connection between coastal sea levels and interior drivers using advanced data analysis and machine learning techniques to enhance climate change understanding and prediction.
- YouTube
- 39 minutes
- On-Demand
- Free Video
APS Physics
Multiscale Physics in the Climate System

Explore multiscale physics in climate systems with Professor Laure Zanna, delving into complex interactions and their impact on global climate dynamics.
- YouTube
- 58 minutes
- On-Demand
- Free Video
AGU
Trouble Upstairs: Reconstructing Permian-Triassic Climate during Siberian Traps Magmatism

Explore the impact of Siberian Traps magmatism on Permian-Triassic climate, examining its effects on atmospheric chemistry, ocean circulation, and potential extinction mechanisms.
- YouTube
- 21 minutes
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- Free Video
AGU
History of Global Warming - Stephen Schneider Global Environmental Change Lecture

Comprehensive exploration of global warming's historical development, examining key scientific discoveries, policy milestones, and societal impacts shaping our understanding of climate change.
- YouTube
- 1 hour 1 minute
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