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Influence of Turbidity and Clouds on Satellite Total Ozone Data Over Madrid (Spain) : Volume 28, Issue 7 (14/07/2010)

By Camacho, J. L.

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Book Id: WPLBN0003975057
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Influence of Turbidity and Clouds on Satellite Total Ozone Data Over Madrid (Spain) : Volume 28, Issue 7 (14/07/2010)  
Author: Camacho, J. L.
Volume: Vol. 28, Issue 7
Language: English
Subject: Science, Annales, Geophysicae
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany


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Loyola, D., Hernandez, E., Antón, M., & Camacho, J. L. (2010). Influence of Turbidity and Clouds on Satellite Total Ozone Data Over Madrid (Spain) : Volume 28, Issue 7 (14/07/2010). Retrieved from

Description: Agencia Estatal de Meteorología (AEMET), Madrid, Spain. 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.

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

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