
About
Dr. Peer Nowack is an Honorary Lecturer at the University of East Anglia's School of Environmental Sciences, specializing in machine learning applications for climate science and atmospheric chemistry. His research addresses climate sensitivity, extreme weather, ozone dynamics, and causal network analysis for model evaluation.
Research interests focus on reducing uncertainty in regional climate projections through novel computational methods. His work bridges atmospheric physics with data science to develop efficient Earth system models.
Recent publications demonstrate trends in causal inference techniques for climate projections, machine learning-based ozone parameterizations, and observational evidence of cloud feedback amplification. He maintains collaborations across Europe and supervises PhD candidates in machine learning applications.
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