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Learn about climate data analysis, downscaling techniques, and impact assessment in this 53-minute lecture by Subimal Ghosh from the International Centre for Theoretical Sciences. Explore fundamental concepts of climate modeling and data processing as part of the Advanced Machine Learning for Earth System Modeling program. Discover how climate data is collected, processed, and utilized for understanding regional and local climate patterns through downscaling methodologies. Examine the relationship between large-scale climate phenomena and their localized impacts on various Earth system components. Gain insights into the challenges and opportunities in climate data analysis, including the integration of observational data with model outputs. Understand the importance of statistical and dynamical downscaling approaches for bridging the gap between global climate models and local-scale applications. This foundational lecture sets the stage for understanding how machine learning techniques can enhance traditional climate modeling approaches and improve our ability to assess climate change impacts at multiple scales.
