Verifying Air Quality Forecasts

This presentation from the WMO/GURME Regional Training Workshop on urban air quality modelling for  ASEAN Countries introduces the principles and methods used to evaluate the performance of air quality forecasts. It covers key concepts in forecast verification, including statistical evaluation metrics, measures of forecast accuracy and skill, bias and error assessment, and approaches for comparing forecast predictions with observational data. The presentation also outlines best practices for selecting appropriate verification methods and interpreting results to support model improvement, operational forecasting, and informed decision-making.