POPCORN corrected Sentinel-3 aerosol optical depth, year 2019

DOI

Dataset related to publication Lipponen A., Reinvall J., Väisänen A., Taskinen H., Lähivaara T., Sogacheva L., Kolmonen P., Lehtinen K., Arola A., and Kolehmainen V., “Deep Learning Based Post-Process Correction of the Aerosol Parameters in the High-Resolution Sentinel-3 Level-2 Synergy Product”, Atmospheric Measurement Techniques, 2022. doi:10.5194/amt-2021-262.

Identifier
DOI https://doi.org/10.23728/fmi-b2share.c81ade576e1c49e4aef9ca1ca8a7621a
Source https://fmi.b2share.csc.fi/records/c81ade576e1c49e4aef9ca1ca8a7621a
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/c81ade576e1c49e4aef9ca1ca8a7621a
Provenance
Creator Lipponen, Antti; Reinvall, Jaakko; Väisänen, Arttu; Taskinen, Henri; Lähivaara, Timo; Sogacheva, Larisa; Kolmonen, Pekka; Lehtinen, Kari; Arola, Antti; Kolehmainen, Ville
Publisher Finnish Meteorological Institute
Publication Year 2021
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact antti.lipponen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Discipline Environmental science