POPCORN Sentinel-3 aerosol optical depth (AOD) data for year 2019

by Finnish Meteorological Institute and University of Eastern Finland.
Contact information: antti.lipponen@fmi.fi

The codes to POPCORN process Sentinel-3 SY_2_SYN____ data are available at: https://github.com/TUT-ISI/S3POPCORN/releases/tag/v1.0.0 OR

These data contain modified Copernicus Sentinel data (2019). The data available here is licensed under the CC-BY license.

Details and reference to be used to cite the dataset:
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, accepted for publication, 2022. doi:10.5194/amt-2021-262.

The data is produced in the POPCORN project funded by the European Space Agency EO science for society programme.

Processed Sentinel-3 data

The following tar-files contain the POPCORN processed Sentinel-3 data. There is a separate tar-file for each region of interest and month. The data is stored in NetCDF format.

Central Europe

Eastern USA

Western USA

Southern Africa

India

Sentinel-3 - AERONET collocated data used for accuracy correction model training

Data contains pixel-level data of collocated Sentinel-3 - AERONET data. Data is a Python Pandas dataframe stored in hdf5-format (use 'pandas.read_hdf' to load).

The data uses the following prefixes for column names:

• AERONET_: AERONET aerosol data
• SYN_: S3 Synergy (SY_2_SYN___)
• OL1_: S3 OLCI level-1 data (OL_1_ERR____)
• SL1_: S3 SLSTR level-1 data (SL_1_RBT____)

Download data: S3SYNERGY_AERONET_dataset_2019.h5 (306 Mb)