2004
DOI: 10.1117/12.577927
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Consistency of two global MODIS aerosol products over ocean on Terra and Aqua CERES SSF datasets

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Cited by 25 publications
(48 citation statements)
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“…Many authors reported a positive correlation between aerosol optical thickness and cloud fraction retrieved using various platforms and algorithms (e.g., Ignatov et al, 2005;Kaufman et al, 2005;Loeb and Manalo-Smith, 2005;Loeb and Schuster, 2008). Most recently, a study by Chand et al (2012) analyzing 11 yr of MODIS observations found that 25 % enhancement in cloud fraction leads to a 0.05 increase in clear sky optical depth.…”
Section: Reasons For Near-cloud Enhancements Of Solar Reflectancementioning
confidence: 99%
“…Many authors reported a positive correlation between aerosol optical thickness and cloud fraction retrieved using various platforms and algorithms (e.g., Ignatov et al, 2005;Kaufman et al, 2005;Loeb and Manalo-Smith, 2005;Loeb and Schuster, 2008). Most recently, a study by Chand et al (2012) analyzing 11 yr of MODIS observations found that 25 % enhancement in cloud fraction leads to a 0.05 increase in clear sky optical depth.…”
Section: Reasons For Near-cloud Enhancements Of Solar Reflectancementioning
confidence: 99%
“…Most recently, analyzing Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data, [20] showed (Figure 1) that data sampling can also make overall statistics of aerosol properties change with distance to clouds, given that far-from-cloud aerosol statistics are dominated by data from scenes with lower cloud fraction (CF), while near-cloud aerosol statistics are dominated by data from scenes with higher CF. This may lead to a statistical increase of aerosol optical thickness (AOT) near clouds because, as reported in several papers [21][22][23][24], AOT is positively correlated with CF-though cloud detection uncertainties and 3D radiative processes may make this correlation appear stronger than it really is [19,25,26]. We note that while CF (defined for 30 km and 40 km size areas in [20] and in this paper, respectively) represents large-scale conditions, the distance from the nearest cloud reflects individual pixel conditions.…”
Section: Introductionmentioning
confidence: 99%
“…cloud contamination or illumination bias than physical processes (e.g., Ignatov et al, 2005;Zhang et al, 2005;Zhang and Reid, 2006;Marshak et al, 2008;Smirnov et al, 2012;Reid et al, 2013). Thus, a significant challenge to the climate science community is to link remote-sensing measurements of potential changes in aerosol optical depth (AOD) to Cloud Condensation Nuclei Concentration (e.g., Kaufman and Fraser, 1997) or to secondary particle production, free of retrieval artifacts.…”
Section: T F Eck Et Al: Rapid Aerosol Optical Depth Enhancements Nmentioning
confidence: 99%