2012
DOI: 10.5194/amt-5-1727-2012
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Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe

Abstract: Abstract. The aim of the present study is to validate AOT (aerosol optical thickness) andÅngström exponent (α), obtained from MODIS (MODerate resolution Imaging Spectroradiometer) Aqua and Terra calibrated level 1 data (1 km horizontal resolution at ground) with the SAER (Satellite AErosol Retrieval) algorithm and with MODIS Collection 5 (c005) standard product retrievals (10 km horizontal resolution), against AERONET (AErosol RObotic NETwork) sun photometer observations over land surfaces in Europe. An inter-… Show more

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Cited by 8 publications
(6 citation statements)
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“…Our results show good agreement between AOD estimated from MODIS using the ocean algorithm and AOD retrieved from Sun photometer measurements and are in accordance with other validation studies [e.g., Ichoku et al ., 2002; Levy et al, ; Glantz and Tesche , ]. The best agreement is found for cases classified as originating from the North African sector, which presents large aerosol loads usually linked to the transport of desert mineral dust particles.…”
Section: Resultsmentioning
confidence: 96%
“…Our results show good agreement between AOD estimated from MODIS using the ocean algorithm and AOD retrieved from Sun photometer measurements and are in accordance with other validation studies [e.g., Ichoku et al ., 2002; Levy et al, ; Glantz and Tesche , ]. The best agreement is found for cases classified as originating from the North African sector, which presents large aerosol loads usually linked to the transport of desert mineral dust particles.…”
Section: Resultsmentioning
confidence: 96%
“…Those sensors provide good AOT statistics due to their large swath widths of 2.801, 1.270, 1.150 and 2.330 km, respectively. This effort includes the validation of BEAR AOT against ground-based remote sensing (Glantz and Tesche, 2012) before it can be used in climate and air-quality studies. Table 5 shows that some years are associated with favourable conditions for spaceborne retrievals of aerosol mass.…”
Section: General Results and Conclusionmentioning
confidence: 99%
“…The latter two parameters weight outliers to a smaller degree than the RMSE and are therefore more suitable for the validation of satellite retrievals of atmospheric parameters. The AAD and AAD rel parameters are defined in Glantz and Tesche (2012). Table 3 presents a summary of the validation of MODIS against AERONET for different scenarios of pixel availability.…”
Section: Validation Of Modis Aotmentioning
confidence: 99%
“…The confidence interval is set to 68% to maintain consistency with previous research (Immler et al 2010;Glantz and Tesche, 2012) where the retrieval uncertainty is set to the standard deviation of the selected parameter that conforms to a Gaussian distribution. In such case, a randomly selected parameter lies inside the region which centers at the mean value and extends on the left and right sides by the magnitude quantified by the uncertainty with a 68% probability.…”
Section: /2 τ -mentioning
confidence: 99%