Overview of the O3M SAF GOME-2 operational atmospheric composition and UV radiation data products and data availability

Author:

Hassinen S.ORCID,Balis D.ORCID,Bauer H.,Begoin M.,Delcloo A.ORCID,Eleftheratos K.,Gimeno Garcia S.,Granville J.,Grossi M.,Hao N.,Hedelt P.ORCID,Hendrick F.,Hess M.,Heue K.-P.ORCID,Hovila J.,Jønch-Sørensen H.,Kalakoski N.ORCID,Kauppi A.,Kiemle S.,Kins L.ORCID,Koukouli M. E.ORCID,Kujanpää J.ORCID,Lambert J.-C.,Lang R.,Lerot C.,Loyola D.ORCID,Pedergnana M.,Pinardi G.ORCID,Romahn F.,van Roozendael M.,Lutz R.,De Smedt I.,Stammes P.,Steinbrecht W.ORCID,Tamminen J.ORCID,Theys N.,Tilstra L. G.,Tuinder O. N. E.,Valks P.,Zerefos C.,Zimmer W.,Zyrichidou I.

Abstract

Abstract. The three Global Ozone Monitoring Experiment-2 instruments will provide unique and long data sets for atmospheric research and applications. The complete time period will be 2007–2022, including the period of ozone depletion as well as the beginning of ozone layer recovery. Besides ozone chemistry, the GOME-2 (Global Ozone Monitoring Experiment-2) products are important e.g. for air quality studies, climate modelling, policy monitoring and hazard warnings. The heritage for GOME-2 is in the ERS/GOME and Envisat/SCIAMACHY instruments. The current Level 2 (L2) data cover a wide range of products such as ozone and minor trace gas columns (NO2, BrO, HCHO, H2O, SO2), vertical ozone profiles in high and low spatial resolution, absorbing aerosol indices, surface Lambertian-equivalent reflectivity database, clear-sky and cloud-corrected UV indices and surface UV fields with different weightings and photolysis rates. The Satellite Application Facility on Ozone and Atmospheric Chemistry Monitoring (O3M SAF) processes and disseminates data 24/7. Data quality is guaranteed by the detailed review processes for the algorithms, validation of the products as well as by a continuous quality monitoring of the products and processing. This paper provides an overview of the O3M SAF project background, current status and future plans for the utilisation of the GOME-2 data. An important focus is the provision of summaries of the GOME-2 products including product principles and validation examples together with sample images. Furthermore, this paper collects references to the detailed product algorithm and validation papers.

Publisher

Copernicus GmbH

Subject

Atmospheric Science

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