climpred: Verification of weather and climate forecasts

Abstract

Predicting extreme events and variations in weather and climate provides crucial information for economic, social, and environmental decision-making However, quantifying prediction skill for multi-dimensional geospatial model output is computationally expensive and a difficult coding challenge. The large datasets (order gigabytes to terabytes) require parallel and out-of-memory computing to be analyzed efficiently. Further, aligning the many forecast initializations with differing observational products is a straight-forward, but exhausting and error-prone exercise for researchers.

Topics & Concepts