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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 28, issue 7
Ann. Geophys., 28, 1441-1448, 2010
https://doi.org/10.5194/angeo-28-1441-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 28, 1441-1448, 2010
https://doi.org/10.5194/angeo-28-1441-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

ANGEO Communicates 14 Jul 2010

ANGEO Communicates | 14 Jul 2010

Influence of turbidity and clouds on satellite total ozone data over Madrid (Spain)

J. L. Camacho1, M. Antón2, D. Loyola3, and E. Hernandez4 J. L. Camacho et al.
  • 1Agencia Estatal de Meteorología (AEMET), Madrid, Spain
  • 2Departamento de Física Aplicada, Universidad de Granada, Granada, Spain
  • 3Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany
  • 4Departamento Física de la Tierra II, Universidad Complutense de Madrid, Madrid, Spain

Abstract. This article focuses on the comparison of the total ozone column data from three satellite instruments; Total Ozone Mapping Spectrometers (TOMS) on board the Earth Probe (EP), Ozone Monitoring Instrument (OMI) on board AURA and Global Ozone Monitoring Experiment (GOME) on board ERS/2, with ground-based measurement recorded by a well calibrated Brewer spectrophotometer located in Madrid during the period 1996–2008. A cluster classification based on solar radiation (global, direct and diffuse), cloudiness and aerosol index allow selecting hazy, cloudy, very cloudy and clear days. Thus, the differences between Brewer and satellite total ozone data for each cluster have been analyzed. The accuracy of EP-TOMS total ozone data is affected by moderate cloudiness, showing a mean absolute bias error (MABE) of 2.0%. In addition, the turbidity also has a significant influence on EP-TOMS total ozone data with a MABE ~1.6%. Those data are in contrast with clear days with MABE ~1.2%. The total ozone data derived from the OMI instrument show clear bias at clear and hazy days with small uncertainties (~0.8%). Finally, the total ozone observations obtained with the GOME instrument show a very smooth dependence with respect to clouds and turbidity, showing a robust retrieval algorithm over these conditions.

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