[ARCHIVE] Baltic Sea, Ocean Colour Chlorophyll (daily observation)

'''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu

'''Short description:'''

The Global Ocean Satellite monitoring and marine ecosystem study group (GOS) of the Italian National Research Council (CNR), in Rome, distributes Baltic Sea chlorophyll-a observation (expressed in mg/m3) product at 300 m of resolution. The OLCI single sensor product is produced with the BAL_HZG_OLCI_v2 processing chain incorporating two complementary neural network approaches: the C2RCC (Case 2 Regional CoastColour) Atmospheric Correction with revised neural nets from May 2019 is applied to OLCI L1B data to retrieve the remote sensing reflectances then OLCI Neural Network Swarm (ONNS) version 0.9 (2019) is applied as bio-geo-optical in-water algorithm to retrieve CHL as well as additional “Optics” products (vertical attenuation coefficient and IOPs) available in the product OCEANCOLOUR_BAL_OPTICS_L3_NRT_OBSERVATIONS_009_048.

'''Processing information:'''

A one month rolling archive of daily products is daily updated one day after the satellite acquisition. The rolling archive products are replaced by consolidated products 31 days after satellite acquisition.

'''Description of observation methods/instruments:'''

The ONNS chlorophyll product is available starting 26 April 2016 and is based on OLCI L1B data. The datasets based on NASA MODIS/AQUA level1 data were retired in December 2019 and have been archived offline.

'''Quality /Accuracy / Calibration information:'''

The validation of the OC NRT Chlorophyll product was conducted with in situ data collected from several institutions in the framework of HELCOM. A detailed description of cal/val is given in CMEMS-OC-QUID-009-048-049 document available on the CMEMS web portal.

'''Suitability, Expected type of users / uses:'''

This product is meant for use for educational purposes and for the managing of the marine safety, marine resources, marine and coastal environment and for climate and seasonal studies.

'''Dataset names:'''

*dataset-oc-bal-chl-olci-l3-nn_300m_daily-rt-v02

'''Files format:''' *CF-1.4 *INSPIRE compliant.

'''DOI (product) :'''
https://doi.org/10.48670/moi-00082