A framework for the verification of air quality forecasting models using self-organizing feature maps

Abstract

A fundamental problem in the development of an air quality forecast system is the implementation of an evaluation protocol. Traditionally, statistics are computed to compare the model output to the observations. These methods are limited in that they are generally unable to easily identify the nature of an error (such as location and timing errors). In this… (More)

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