POPCORN Sentinel-3 Synergy aerosol parameter post-process correction. This version carries out both accuracy and spatial anomaly corrections. Release version 1.0.0. This release consists of a Python script and trained deep learning models to post-process correct the Sentinel-3 Synergy (SY_2_SYN) aerosol data products. Developed by: Finnish Meteorological Institute and University of Eastern Finland Development of the algorithm was funded by the European Space Agency EO science for society programme via POPCORN project. Contact info: Antti Lipponen (email@example.com) Github repository: https://github.com/TUT-ISI/S3POPCORN/
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