Explores the evolution of climate models and the latest IPCC findings on climate sensitivity, including ECS estimation and constraints from observations and paleoclimate records.
Explores climate definitions, snow feedback mechanisms, past climate variations, and future projections on air temperature, precipitation, and sea level, emphasizing the impacts and adaptations required.
Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.