On Metric Analysis for Deep Weather Generators

Abstract

The definition of metrics for evaluating reconstruction image data from machine learning generative methods are well established for applications involving natural images. However, machine learning models applied to weather field precipitation data in the context of weather generators are still not sufficiently addressed. In this work, we discuss the use of various metrics for weather data generation and we propose the use of the Frechet Inception Distance metric based on weights from a weather dataset.