2004
DOI: 10.5194/acpd-4-8201-2004
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Intercomparison of satellite retrieved aerosol optical depth over ocean during the period September 1997 to December 2000

Abstract: Abstract. Monthly mean aerosol optical depth (AOD) over ocean is compared from a total of 9 aerosol retrievals during a 40 months period. Comparisons of AOD have been made both for the entire period and sub periods. We identify regions where there is large disagreement and good agreement between the aerosol satellite retrievals. Significant differences in AOD have been identified in most of the oceanic regions. Several analyses are performed including spatial correlation between the retrievals as well as compa… Show more

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Cited by 23 publications
(30 citation statements)
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“…To ensure good quality of the retrievals for atmospheric and marine products resulting from the atmospheric correction scheme (see Mélin et al [2003, 2005] for validation results in terms of water leaving radiance), the cloud screening, based on a threshold for the top‐of‐atmosphere reflectance at 865 nm, is quite stringent and filters out pixels of high aerosol load (haze or thick desert dust). This limitation has been mentioned by other authors for aerosol products obtained with the standard SeaWiFS atmospheric correction [e.g., Chou et al , 2002; Myhre et al , 2005]. The issues of cloud screening and spatial/temporal sampling have also been discussed in the context of comparison involving satellite products, surface values or dynamic models outputs [e.g., Kinne et al 2003; Geogdzhayev et al , 2004; Myhre et al , 2004; Jeong and Li , 2005].…”
Section: Satellite‐derived Aerosol Distributionmentioning
confidence: 99%
“…To ensure good quality of the retrievals for atmospheric and marine products resulting from the atmospheric correction scheme (see Mélin et al [2003, 2005] for validation results in terms of water leaving radiance), the cloud screening, based on a threshold for the top‐of‐atmosphere reflectance at 865 nm, is quite stringent and filters out pixels of high aerosol load (haze or thick desert dust). This limitation has been mentioned by other authors for aerosol products obtained with the standard SeaWiFS atmospheric correction [e.g., Chou et al , 2002; Myhre et al , 2005]. The issues of cloud screening and spatial/temporal sampling have also been discussed in the context of comparison involving satellite products, surface values or dynamic models outputs [e.g., Kinne et al 2003; Geogdzhayev et al , 2004; Myhre et al , 2004; Jeong and Li , 2005].…”
Section: Satellite‐derived Aerosol Distributionmentioning
confidence: 99%
“…The detailed comparisons and analyses of the satellite‐derived AOT over ocean from total of nine aerosol retrieval algorithms, which includes algorithms for data measured by AVHRR, TOMS, SeaWiFS, MODIS, MISR, and some other sensors, have been carried out by Myhre et al [2005]. In that study, the satellite results are also compared with the ground‐based data from AERONET [ Holben et al , 1998].…”
Section: Seawifs Data Compared With the Ground‐based Measurementsmentioning
confidence: 99%
“…In that study, the satellite results are also compared with the ground‐based data from AERONET [ Holben et al , 1998]. Although some good agreements are found within various satellite data products, significant differences in the derived AOT from various satellite sensors, in particular, at the high latitude regions (e.g., southern oceans), are reported [ Myhre et al , 2005]. This is true even for sensors dedicated for the aerosol measurements.…”
Section: Seawifs Data Compared With the Ground‐based Measurementsmentioning
confidence: 99%
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“…The Multiangle Imaging Spectroradiometer (MISR) [ Diner et al , 1998] began taking data in late February 2000. Since then, numerous studies have compared aerosol optical thickness (AOT) retrieved from the instrument's 36 spectral angular channels with similar quantities derived from the Aerosol Robotic Network (AERONET) [ Holben et al , 1998] Sun photometer network, the Moderate Resolution Imaging Spectroradiometer (MODIS) [ Barnes et al , 1998; Salomonson et al , 1989] that flies aboard the Terra satellite with MISR, and other regional and global observations [e.g., Abdou et al , 2005; Christopher and Wang , 2004; Diner et al , 2001; Kahn et al , 2005a, 2005b; Liu et al , 2004; Martonchik et al , 2004; Myhre et al , 2005; Redemann et al , 2005; Schmid et al , 2003; Yu et al , 2006]. That work demonstrates the MISR Standard Aerosol Retrieval algorithm (V16 or lower) retrieves AOT over land and water, with overall statistical accuracy better than 0.05 or 20%, whichever is larger, and with greater accuracy over some surfaces such as dark water.…”
Section: Introductionmentioning
confidence: 99%