Machine Learning Analyses of Climate Data and Models
V.V. Vesselinov
11th World Congress of European Water Resources Association (EWRA), Madrid, Spain2019
Summary
This presentation covers machine learning analyses of climate data and models. It discusses the integration of climate datasets with machine learning techniques to identify hidden patterns and assess climate trends and projections. The presentation emphasizes the application of machine learning for climate data analysis, model diagnostics, and improving climate predictions. The work focuses on analyses of climate data and models for US and Europe to extract meaningful insights and support informed decision-making in the context of climate change and its impacts on ground surface tempreture, precipitation, water resources and the environment.