Categorical Composition of Discrete Exterior Calculus Climate Models
Explore Decapodes.jl framework for composing multiphysics equations in climate modeling, featuring Discrete Exterior Calculus and undirected wiring diagrams for efficient simulation code generation.
Complex Systems Perspectives on Large-Scale Weather and Climate Variability Patterns
Explore large-scale weather and climate variability patterns through complex systems perspectives, gaining insights into atmospheric dynamics and climate science.
The Madden Julian Oscillation Skeleton Model with Time-Dependent Observation-Based Forcing
Explore the Madden Julian Oscillation skeleton model, incorporating time-dependent observation-based forcing for enhanced atmospheric understanding and prediction.
Observational Constraints on Extremes for Estimating the Warmest Events by the End of the Century
Explore observational constraints on extreme climate events and their impact on future temperature predictions through the IPSL/RTE collaboration framework.
IEA Modelling and Scenarios - Global Energy and Climate Model
Explore the IEA's Global Energy and Climate Model and energy scenario modelling approach used in the World Energy Outlook publication.
Computing Climate Extreme Events and Extremes of Production of Renewable Energy
Explore rare events algorithms for calculating climate extremes and renewable energy production anomalies. Learn advanced computational techniques for analyzing environmental data.
不確実性を伴う数値天気予報と気候予測
不確実性を考慮した数値天気予報と気候予測の最新手法について深く掘り下げ、予測の精度と限界、そして将来の展望について探究する学術講演。
Explainable AI for Climate Science - Opening the Black Box to Reveal Planet Earth
Discover how explainable AI techniques can revolutionize climate science research, from weather prediction to understanding human impacts on Earth's systems through advanced machine learning applications.
Machine Learning Methods for Climate Science - Lecture 4
Explore machine learning applications in climate science, focusing on advanced techniques for analyzing and predicting complex atmospheric and oceanic processes.
Machine Learning Methods for Climate Science - Lecture 2
Explore machine learning applications in climate science, focusing on advanced techniques and their impact on understanding and predicting climate phenomena.
Machine Learning Methods for Climate Science - Lecture 3
Explore machine learning applications in climate science, focusing on advanced techniques for analyzing and predicting complex atmospheric and oceanic processes.
Machine Learning in Fluid Dynamics and Climate Physics
Explore machine learning applications in fluid dynamics and climate modeling, including physics-informed approaches, data integration, and simulation validation techniques.
Recent Advances in Deep Learning and Data Analytics in Earth Sciences - 2017
Explore cutting-edge deep learning applications in geosciences, featuring talks from NASA, MIT, and other leading institutions on solving complex Earth and planetary challenges.
Machine Learning Tutorial Exercise
Hands-on tutorial exploring machine learning applications in geophysical fluid dynamics, covering data analysis, modeling, and prediction techniques for climate and ocean systems.
How AI/ML is Revolutionizing Weather and Climate Science
Explore how AI and machine learning are transforming weather and climate science, revolutionizing predictions and enhancing our understanding of complex atmospheric systems.
Machine Learning Meets Data Assimilation - Physics-Based Data-Driven Digital Twins
Explore the intersection of machine learning and data assimilation for creating physics-based, data-driven digital twins in weather and climate modeling.
Data Assimilation - Variational Methods - Lecture 8
Explore variational methods in data assimilation for weather and climate modeling. Learn theoretical foundations and practical applications to enhance atmospheric state estimation and forecasting accuracy.
Some Thoughts on Gaussian Processes for Emulation of Deterministic Computer Models
Explore Gaussian Process emulators for complex computer models in uncertainty quantification, focusing on theoretical aspects and applications to climate, tsunami, and earthquake problems.
Artificial Intelligence, Data Assimilation, and Data-Driven Surrogate Models for Climate Prediction
Explore AI's impact on weather prediction, including deep learning techniques, surrogate models, and data assimilation for improved forecasting and climate modeling.
Mathematical Diseases in Climate Models and How to Cure Them
Explore innovative approaches to climate modeling using Julia and GPUs, aiming to improve accuracy and usability while overcoming computational limitations in simulating small-scale physics.
Global Environmental Change Section Early-Career & Mid-Career Award Lecture - II
Exploración de los impactos de los aerosoles en la salud y el clima, mecanismos de formación de partículas, y dinámica del carbono en suelos y bosques. Análisis de modelos climáticos y observaciones para comprender mejor estos procesos ambientales comple…