Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product.

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Title: Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product.
Authors: Lipponen, Antti1 (AUTHOR) antti.lipponen@fmi.fi, Reinvall, Jaakko2 (AUTHOR), Väisänen, Arttu2 (AUTHOR), Taskinen, Henri2 (AUTHOR), Lähivaara, Timo2 (AUTHOR), Sogacheva, Larisa1 (AUTHOR), Kolmonen, Pekka1 (AUTHOR), Lehtinen, Kari1,2 (AUTHOR), Arola, Antti1 (AUTHOR), Kolehmainen, Ville2 (AUTHOR)
Source: Atmospheric Measurement Techniques. 2022, Vol. 15 Issue 4, p895-914. 20p.
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  Data: Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product.
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Measurement+Techniques%22">Atmospheric Measurement Techniques</searchLink>. 2022, Vol. 15 Issue 4, p895-914. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=155628314
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        Value: 10.5194/amt-15-895-2022
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              Text: 2022
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