POPCORN Sentinel-3 Synergy aerosol parameter post-process correction

A Python script 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 (antti.lipponen@fmi.fi)

Script use

USE: python S3POPCORN.py BASEDIR OUTPUTDIR SYNFILE
    BASEDIR=directory under which the Sentinel-3 data will be looked for (uses recursive search). For example ".".
    OUTPUTDIR=directory in which the post-process corrected data will be saver
    SYNFILE=name of the zip file that contains the Synergy data

    Sentinel-3 level-1 and level-2 data products are expected to be stored in zip format.

The script requires you have the following Sentinel-3 data available (in zip format) under the BASEDIR:

• SY_2_SYN____
• OL_1_ERR____
• SL_1_RBT____

Use example

foo@bar:~$ python S3POPCORN.py . S3POPCORNoutput S3A_SY_2_SYN____20190216T093921_20190216T094221_20190218T024047_0179_041_250_2160_LN2_O_NT_002.zip
...

Python dependencies

The script depends for example on the following packages:

• Numpy
• Scipy
• Pytorch
• Pytorch-lightning
• netCDF4
• Scikit-learn

Satellite data

Sentinel-3 satellite data can be downloaded free of charge for example from the Copernicus Open Access Hub (https://scihub.copernicus.eu/)