Arctic Ocean, Ocean Optics Products (daily average) Reprocessed L3 (ESA-CCI)

'''Short description:'''

This RRS product is defined as the ratio of upwelling radiance and downwelling irradiance at 412, 443, 490, 510, 560 and 665 nm wavebands (corresponding to MERIS), and can also be expressed as the ratio of normalized water leaving Radiance (nLw) and the extra-terrestrial solar irradiance (F0). The ESA Climate Change Initiative is a 2-part programme aiming to produce “climate quality” merged data records from multiple sensors. The Ocean Colour project within this programme has a primary focus on chlorophyll in open oceans, using the highest quality Rrs merging process to date. This uses a combination of bandshifting to a reference sensor and temporally-weighted bias correction to align independent sensors into a coherent and minimally-biased set of reflectances. These are derived from level 2 data produced by SeaDAS l2gen (SeaWiFS) and Polymer (MODIS, VIIRS, MERIS and OLCI-3A) , and the resulting Rrs bias corrected.

'''Processing information:'''

ESA-CCI Rrs raw data are provided by Plymouth Marine Laboratory, currently at 4km resolution. These are processed to produce CMEMS representations using the same in-house software as in the operational processing. The entire CCI data set is consistent and processing is done in one go. Standard masking criteria for detecting clouds or other contamination factors have been applied during the generation of the Rrs, i.e., land, cloud, sun glint, atmospheric correction failure, high total radiance, large solar zenith angle (70deg), large spacecraft zenith angle (56deg), coccolithophores, negative water leaving radiance, and normalized water leaving radiance at 560 nm 0.15 Wm-2 sr-1 (McClain et al., 1995). For the regional products, a variant of the OC-CCI chain is run to produce high resolution data at the 1km resolution necessary.

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

Ocean colour technique exploits the emerging electromagnetic radiation from the sea surface in different wavelengths. The spectral variability of this signal defines the so called ocean colour which is affected by the presence of phytoplankton. By comparing reflectances at different wavelengths and calibrating the result against in-situ measurements, an estimate of in water absorption parameters can be derived.

'''DOI (product) :'''

https://doi.org/10.48670/moi-00068

Citation proposal
Rosalia SANTOLERI (OC-CNR-ROMA-IT). Arctic Ocean, Ocean Optics Products (daily average) Reprocessed L3 (ESA-CCI). https://services.mspdata.eu:/geonetwork/srv/api/records/d3ab06b7-506b-40ae-908d-3b66d98a36cc

Alternate title: OCEANCOLOUR_ARC_OPTICS_L3_REP_OBSERVATIONS_009_068

Date ( Creation ): 2010-11-07

Edition

Edition date: 2021-04-26

Identifier: d3ab06b7-506b-40ae-908d-3b66d98a36cc

Credit: E.U. Copernicus Marine Service Information

Point of contact

OC-CNR-ROMA-IT - Emanuele BÖHM

Custodian

OC-CNR-ROMA-IT - Rosalia SANTOLERI

Originator

OC-PML-PLYMOUTH-UK - Ben CALTON

Resource provider

OC-PML-PLYMOUTH-UK - Ben CALTON

Distributor

OC-CNR-ROMA-IT - Javier CONCHA

Maintenance and update frequency: Irregular

Other: /

Maintenance note: N/A

GEMET - INSPIRE themes, version 1.0 ( Theme )

Oceanographic geographical features

Discipline ( Discipline )

satellite-observation

Climate and Forecast Standard Names ( parameter )

surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air , volume_absorption_coefficient_of_radiative_flux_in_sea_water_due_to_dissolved_organic_matter_and_non_algal_particles , volume_absorption_coefficient_of_radiative_flux_in_sea_water_due_to_phytoplankton , volume_absorption_coefficient_of_radiative_flux_in_sea_water

Temporal scale ( temporal-scale )