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QUALITY CONTROL INDICATORS FOR THE VALIDATION OF AIR QUALITY FORECAST APPLICATIONS IN THE FRAMEWORK OF FAIRMODE ACTIVITIES

TitoloQUALITY CONTROL INDICATORS FOR THE VALIDATION OF AIR QUALITY FORECAST APPLICATIONS IN THE FRAMEWORK OF FAIRMODE ACTIVITIES
Tipo di pubblicazionePresentazione a Congresso
Anno di Pubblicazione2022
AutoriPiersanti, Antonio, Cuvelier C., Janssen S., Monteiro A., Durka P., Thunis P., and Vitali Lina
Conference Name21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022
Parole chiaveAir quality, Air quality forecasts, Benchmarking, Forecasting, Harmonized validation methodology, Measurement uncertainty, Model application, Model benchmarking, Model quality objective, Modeling quality, Quality control, Regulatory model, Regulatory model application, Uncertainty analysis, Validation methodologies
Abstract

In the framework of FAIRMODE activities concerning the harmonization of model validation methodologies, a specific task was dedicated to the development of a common standardized template to facilitate the screening and comparison of air quality forecast results. The proposed approach assesses the forecast model performances using, as a benchmark, the so called “persistence model”, which uses measurements of the previous day as an estimate for the full forecast prediction. Consistently with the FAIRMODE approach, the proposed formulation includes measurement uncertainty and relies on the definition of specific Model Quality Objective and Criteria. The main features of the methodology are described here, together with an example of its application to evaluate the quality of one year-long model data set produced by the Italian air quality forecast system FORAIR-IT. © British Crown Copyright (2022)

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146222779&partnerID=40&md5=16e6a302193800cb2aaeac02b36da8f2
Citation KeyPiersanti2022