No abstract

The Copernicus Atmosphere Monitoring Service (CAMS), part of the European Union’s Earth observation programme Copernicus, entered operations in July 2015. Implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF) as a truly European effort with over 23500 direct data users and well over 200 million end-users worldwide as of March 2022, CAMS delivers numerous global and regional information products about air quality, inventory-based emissions and observation-based surface fluxes of greenhouse gases and biomass burning, solar energy, ozone and UV radiation, and climate forcings. Access to CAMS products is open and free-of-charge via the Atmosphere Data Store. The CAMS global atmospheric composition analyses, forecasts and reanalyses build on ECMWF’s Integrated Forecasting System (IFS) and exploit over 90 different satellite data streams. The global products are complemented by coherent higher-resolution regional air quality products over Europe derived from multi-system analyses and forecasts. CAMS information products also include policy support such as quantitative impact assessment of short- and long-term pollutant-emissions mitigation scenarios, source apportionment information and annual European air quality assessment reports. Relevant CAMS products are cited and used for instance in IPCC Assessment Reports. Providing dedicated support for users operating smartphone applications, websites or TV bulletins in Europe and worldwide is also integral to the service. This paper presents key achievements of the CAMS initial phase (2014-2021) and outlines some of its new components for the second phase (2021-2028), e.g., the new Copernicus anthropogenic CO2 emissions Monitoring and Verification Support capacity that will monitor global anthropogenic emissions of key greenhouse gases.

The SAP4PRISMA is a four year research project which aims at developing algorithms and products for the future PRISMA mission. The project started on May 2010 and is now entering his full activities as the 'PRISMA like' data set has been defined and the test areas were selected. The paper describes the main project objectives and the activities realized in the first 9 months of the project

The SAP4PRISMA project research activities aimed at supporting the Italian hyperspectral PRISMA mission by developing preliminary processing chains suitable for PRISMA to obtain high level hyperspectral data products for agriculture, land degradation, natural and human hazards

Within the framework of air quality monitoring, measurements by Earth-observing satellite sensors are combined here with regional meteorological and chemical transport models. Two satellite-derived products developed within the QUITSAT project, regarding significant pollutants including PM 2.5 and NO 2 , are presented. Estimates of PM 2.5 concentrations at ground level were obtained using moderate resolution imaging spectroradiometer (Terra-Aqua/NASA) aerosol optical properties. The semi-empirical approach adopted takes into account PM 2.5 sampling and meteorological descriptions of the area studied, as simulated by MM5, to infer aerosol optical properties to PM projection coefficients. Daily maps of satellite-based PM 2.5 concentrations over northern Italy are derived. Monthly average values were compared with in situ PM 2.5 samplings showing good agreement. Ozone monitoring instrument (OMI) (Aura/NASA) NO 2 tropospheric contents are merged using the GAMES chemical model simulations. The method employs a weighted rescaling of the model column in the troposphere according to the OMI observations. The weightings take into account measurement errors and model column variances within the satellite ground pixel. The obtained ground-level concentrations of NO 2 show good agreement with the environmental agencies' in situ.