Supplement Finding Climate Characteristics Associated with Primary Modes of Global Climate Variability (original) (raw)

This research focuses on identifying climate characteristics related to primary modes of global climate variability, particularly through the development of thresholds for classifying climate data into distinct categories. By applying statistical methods and metrics, such as least squares, the study seeks to optimize the division of data into classes like Dry/Normal/Wet and Cold/Normal/Warm, aiming for an equal occurrence probability among them. It also discusses the use of various climate indices, including ENSO-related indices, and explores the implications of these classifications for understanding climate variability.