Remote Sensing · 2021 · 19 citations · 54 references
Natural SciencesEarth SciencesAtmospheric ScienceRemote SensingSensor FusionAerosol PhysicsAerosol Remote SensingAerosol SciencePolar Remote SensingSatellite InstrumentationSatellite SensorsAerosol Optical Depth RetrievalAerosol Optical Depth ValidationAerosol Optical PropertiesAerosol PropertiesIn-situ MeasurementsOptical DepthOptical PropertiesRetrieval
The Polar Multi-Sensor Aerosol product (PMAp) is based on the synergistic use of three instruments from the Metop platform, GOME-2, AVHRR, and IASI. The retrieval algorithm includes three major steps: a pre-identification of the aerosol class, a selection of the aerosol model, and a calculation of the Aerosol Optical Depth (AOD). This paper provides a detailed description of the PMAp retrieval, which combines information provided by the three instruments. The retrieved AOD is qualitatively evaluated, and a good temporal as well as spatial performance is observed, including for the transition between ocean and land. More quantitatively, the performance is evaluated by comparison to AERONET in situ measurements. Very good consistency is also observed when compared to other space-based data such as MODIS or VIIRS. The paper demonstrates the ability of this first generation of synergistic products to derive reliable AOD, opening the door for the development of synergistic products from the instruments to be embarked on the coming Metop Second Generation platform. PMAp has been operationally distributed in near-real-time since 2014 over ocean, and 2016 over land.
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AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
B. N. Holben, T. F. Eck, I. Slutsker et al. · Remote Sensing of Environment · 1998 · 8.5K citations · Full text
The MODIS Aerosol Algorithm, Products, and Validation
L. A. Remer, Yoram J. Kaufman, D. Tanré et al. · Journal of the Atmospheric Sciences · 2005 · 3.4K citations · Full text
The Collection 6 MODIS aerosol products over land and ocean
R. C. Levy, S. Mattoo, L. A. Munchak et al. · Atmospheric measurement techniques · 2013 · 2.4K citations · Full text
The CAMS reanalysis of atmospheric composition
Antje Inness, Melanie Ades, Anna Agustí‐Panareda et al. · Atmospheric chemistry and physics · 2019 · 1.4K citations · Full text
R. C. Levy, L. A. Remer, S. Mattoo et al. · Journal of Geophysical Research Atmospheres · 2007 · 1.4K citations