Operational Forecast and Daily Assessment of the Air Quality in Italy: A Copernicus-CAMS Downstream Service

• Published in: Atmosphere Vol. 11; no. 5; p. 447
• Main Authors: Stortini, Michele, Arvani, Barbara, Deserti, Marco
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2020
• Subjects: Air; Air monitoring; Air pollution; air pollution forecast modeling; Air pollution forecasting; Air quality; Air quality assessments; Air quality forecasting; Air quality models; Atmospheric models; Atmospheric monitoring; Boundary conditions; CAMS; Chemical transport; Cooperation; Data; Domains; Emissions; Energy consumption; Environmental monitoring; Forecasting; Graphs; Italy; Mathematical models; Monitoring systems; Nitrogen dioxide; Outdoor air quality; Ozone; Particulate emissions; Particulate matter; Pollutants; remote sensing; Suspended particulate matter; Sustainability; Italy
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos11050447

In this paper, an operational forecasting and daily assessment system of air quality is presented. This new system is thought of as a Copernicus-CAMS downstream national service, able to develop and implement a service for air quality forecasting and monitoring in the Italian domain, running every day on the National territory. The system is being developed on behalf of a cooperation between Agenzia Spaziale Italiana (ASI) and Sistema Nazionale Protezione Ambiente (SNPA). SNPA is the network between Istituto Superiore per la Protezione e Ricerca Ambientale (ISPRA) and the Regional Environmental Agencies (ARPAs). The objective of the cooperation is to provide full operation service in terms of continuity, sustainability, and availability of the air quality forecast and evaluation services at the national level. The system forecasts and analyzes air quality throughout Italy, with a focus on Italian regions, for the principal pollutants: Particulate matter with diameter smaller than 10 μm (PM10), ozone (O3), and nitrogen dioxide (NO2). It includes a Chemical Transport Model (CTM) nested with the Copernicus Atmosphere Monitoring Service (CAMS) global model and data from the air quality monitoring stations in Italy. The system, under public control and based on open software, is now under testing. To date, it is able to deliver free open data, which is available to environmental agencies and citizens. The data are delivered both as maps and graphs, and as numerical data, useful for providing boundary conditions to local–high resolution-air quality models or for developing customized services. In this work, a downscaling application to a regional nested domain highlights how the new air quality forecasting system gains better results than the Copernicus-CAMS system.