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    Validation of aerosol products from AATSR and MERIS/AATSR synergy algorithms—Part 1: Global Evaluation.

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    Authors
    Che, Yahui
    Mei, Linlu
    Xue, Yong cc
    Guang, Jie
    She, Lu
    Li, Ying
    Affiliation
    University of Derby
    Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Bremen
    Ningxia University
    Issue Date
    2018-09-06
    
    Metadata
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    Abstract
    The European Space Agency’s (ESA’s) Aerosol Climate Change Initiative (CCI) project intends to exploit the robust, long-term, global aerosol optical thickness (AOT) dataset from Europe’s satellite observations. Newly released Swansea University (SU) aerosol products include AATSR retrieval and synergy between AATSR and MERIS with a spatial resolution of 10 km. In this study, both AATSR retrieval (SU/AATSR) and AATSR/MERIS synergy retrieval (SU/synergy) products are validated globally using Aerosol Robotic Network (AERONET) observations for March, June, September, and December 2008, as suggested by the Aerosol-CCI project. The analysis includes the impacts of cloud screening, surface parameterization, and aerosol type selections for two products under different surface and atmospheric conditions. The comparison between SU/AATSR and SU/synergy shows very accurate and consistent global patterns. The global evaluation using AERONET shows that the SU/AATSR product exhibits slightly better agreement with AERONET than the SU/synergy product. SU/synergy retrieval overestimates AOT for all surface and aerosol conditions. SU/AATSR data is much more stable and has better quality; it slightly underestimates fine-mode dominated and absorbing AOTs yet slightly overestimates coarse-mode dominated and non-absorbing AOTs.
    Citation
    Che, Y. et al. (2018) ‘Validation of aerosol products from AATSR and MERIS/AATSR synergy algorithms—Part 1: Global Evaluation’ Remote Sensing, 10 (9):1414, DOI: 10.3390/rs10091414
    Publisher
    MPDI
    Journal
    Remote Sensing
    URI
    http://hdl.handle.net/10545/623009
    DOI
    10.3390/rs10091414
    Additional Links
    http://www.mdpi.com/2072-4292/10/9/1414
    Type
    Article
    Language
    en
    EISSN
    2072-4292
    ae974a485f413a2113503eed53cd6c53
    10.3390/rs10091414
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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