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Explores predicting climate change through linear response operators, focusing on the nonequilibrium nature of the climate system and the challenges of climate predictability.
Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.
Explores extreme events, emission metrics, and the Paris Agreement's goals, analyzing the impact of different metrics on temperature outcomes and the challenges in defining extreme events.
Covers an overview of the climate system, including global issues, mechanisms of climate change, impacts on biodiversity, and the role of greenhouse gases.