11 Jan 2023
11 Jan 2023
Status: this preprint is currently under review for the journal AMT.

Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – Estimation of 15-min AOD from MSG/SEVIRI and evaluation with reference data

Xavier Ceamanos1, Bruno Six2, Suman Moparthy1,a, Dominique Carrer1, Adèle Georgeot1, Josef Gasteiger3,b, Jérôme Riedi2,4, Jean-Luc Attié5, Alexei Lyapustin6, and Iosif Katsev7 Xavier Ceamanos et al.
  • 1CNRM, Météo-France, CNRS, Université de Toulouse, Toulouse, France
  • 2University of Lille, CNRS, CNES, UMS 2877 – ICARE Data and Services Center, F-59000 Lille, France
  • 3Faculty of Physics, University of Vienna, Vienna, Austria
  • 4University of Lille, CNRS, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, F-59000 Lille, France
  • 5LAERO-Laboratoire d’Aérologie, Université de Toulouse, UPS, CNRS, 14 Avenue Edouard Belin, 31400, Toulouse, France
  • 6NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 7B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Pr. Nezavisimosti 68, 220072, Minsk, Belarus
  • anow at: ACRI-ST, Toulouse, France
  • bnow at: Hamtec Consulting GmbH at EUMETSAT, Darmstadt, Germany

Abstract. Geostationary meteorological satellites are unique tools to monitor atmospheric aerosols from space. The observation of the Earth several times per hour allows this type of imaging systems to provide high temporal resolution observations of these suspended particles which are of interest for research topics including air quality, numerical weather prediction, and volcanic risk management. However, some challenges need to be addressed to achieve the sub-daily retrieval of aerosol properties mainly due to the varying sensitivity of geostationary imagers to aerosols during the day. In this article we propose a new algorithm named iAERUS-GEO (instantaneous Aerosol and surfacE Retrieval Using Satellites in GEOstationary orbit) that estimates the diurnal evolution of aerosol optical depth (AOD) from the Meteosat Second Generation (MSG) satellite. This is achieved by the use of an optimal estimation method combined with several aerosol models and other features including the daily retrieval of the surface reflectance directionality using Kalman filtering. AOD estimates provided by iAERUS-GEO every 15 minutes —the acquisition frequency of the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on MSG— are assessed with collocated reference aerosol observations. First, comparison to AERONET ground-based data proves the overall satisfactory accuracy of iAERUS-GEO with the exception of some higher biases found over bright surfaces and for high scattering angles. The confidence measure provided by iAERUS-GEO is proved useful to filter these less satisfactory retrievals that generally arise due to a low information content on aerosols provided by SEVIRI. Second, comparison to the GRASP/POLDER satellite product shows similar scores for the two aerosol data sets, with a significantly larger number of retrievals for iAERUS-GEO. This added value —which we illustrate here by inspecting the sub-daily variation of AOD over selected regions— allows geostationary satellites to break the temporal barrier set by traditional aerosol remote sensing from the low Earth orbit. Furthermore, the aerosol retrievals presented in this work are expected to be improved in the near future thanks to the enhanced sensing capabilities of the upcoming Meteosat Third Generation-Imager mission.

Xavier Ceamanos et al.

Status: open (until 16 Feb 2023)

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Xavier Ceamanos et al.

Xavier Ceamanos et al.


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Short summary
A new method to retrieve the diurnal evolution of atmospheric aerosols from geostationary meteorological satellites is proposed and successfully evaluated with reference ground-based and satellite data. The high temporal resolution observations that are obtained from the Meteosat Second Generation mission are unprecedented and open the door to scientific studies that cannot be addressed with once-a-day observations from traditional low Earth orbit satellites.