ac3321fa-94c9-41d4-b95e-5df619fcc584 Copernicus Marine Service product specification CMEMS servicedesk.cmems@mercator-ocean.eu http://marine.copernicus.eu/ 2026-02-05T15:14:39.854363Z ISO 19139, MyOcean profile 0.2 2 0.1 0.1 false WGS 84 (EPSG:4326) EPSG Mediterranean Sea, Bio-Geo-Chemical, L3, daily observation OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205 2021-04-26 2.1 2025-11-25 c012de84-bfc4-4030-9b12-2c1c2648f55f '''Short description:''' The High-Resolution Ocean Colour (HR-OC) Consortium (Brockmann Consult, Royal Belgian Institute of Natural Sciences, Flemish Institute for Technological Research) distributes Remote Sensing Reflectances (RRS, expressed in sr-1), Turbidity (TUR, expressed in FNU), Solid Particulate Matter Concentration (SPM, expressed in mg/l), spectral particulate backscattering (BBP, expressed in m-1) and chlorophyll-a concentration (CHL, expressed in µg/l) for the Sentinel 2/MSI sensor at 100m resolution for a 20km coastal zone. RRS and BBP are delivered at nominal central bands of 443, 492, 560, 665, 704, 740, 783, 865 nm. The primary variable from which it is virtually possible to derive all the geophysical and transparency products is the spectral RRS. This, together with the spectral BBP, constitute the category of the 'optics' products. The spectral BBP product is generated from the RRS products using a quasi-analytical algorithm (Lee et al. 2002). The 'tur_tsm_chl' products include TUR, SPM and CHL). They are retrieved through the application of automated switching algorithms to the RRS spectra adapted to varying water conditions (Novoa et al. 2017). The GEOPHYSICAL product consists of the Chlorophyll-a concentration (CHL) retrieved via a multi-algorithm approach with optimized quality flagging (O'Reilly et al. 2019, Gons et al. 2005, Lavigne et al. 2021). The NRT products are generally provided withing 24 hours up to 3 days after end of the day. The RRS product is accompanied by a relative uncertainty estimate (unitless) derived by direct comparison of the products to corresponding fiducial reference measurements provided through the AERONET-OC network. '''Processing information:''' The HR-OC processing system is deployed on Creodias where Sentinel 2/MSI L1C data are available. The production control element is being hosted within the infrastructure of Brockmann Consult. The processing chain consists of: * Resampling to 60m and mosaic generation of the set of Sentinel-2 MSI L1C granules of a single overpass that cover a single UTM zone. * Application of a glint correction taking into account the detector viewing angles * Application of a coastal mask with 20km water + 20km land. The result is a L1C mosaic tile with data just in the coastal area optimized for compression. * Level 2 processing with pixel identification (IdePix), atmospheric correction (C2RCC and ACOLITE or iCOR), in-water processing and merging (HR-OC L2W processor). The result is a 60m product with the same extent as the L1C mosaic, with variables for optics, transparency, and geophysics, and with data filled in the water part of the coastal area. * invalid pixel identification takes into account corrupted (L1) pixels, clouds, cloud shadow, glint, dry-fallen intertidal flats, coastal mixed-pixels, sea ice, melting ice, floating vegetation, non-water objects, and bottom reflection. * Daily L3 aggregation merges all Level 2 mosaics of a day intersecting with a target tile. All valid water pixels are included in the 20km coastal stripes; all other values are set to NaN. There may be more than a single overpass a day, in particular in the northern regions. The main contribution usually is the mosaic of the zone, but also adjacent mosaics may overlap. This step comprises resampling to the 100m target grid. * Monthly L4 aggregation combines all Level 3 products of a month. The output is a set of 32 NetCDF datasets for (1) optics and (2) transparency, suspended matter and chlorophyll concentration respectively per month. * Gap filling combines all daily products of a period and generates (partially) gap-filled daily products again. The output of gap filling are 32 datasets for optics (BBP443 only), and (2) transparency, suspended matter and chlorophyll concentration and geophysics per day. '''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. '''Quality / Accuracy / Calibration information:''' A detailed description of the calibration and validation activities performed over this product can be found on the CMEMS web portal and in CMEMS-BGP_HR-QUID-009-201to212. '''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: ''' *cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3-hr-mosaic_P1D-m *cmems_obs_oc_med_bgc_optics_nrt_l3-hr-mosaic_P1D-v01 '''Files format:''' *netCDF-4, CF-1.7 *INSPIRE compliant." '''DOI (product) :''' https://doi.org/10.48670/moi-00109 E.U. Copernicus Marine Service Information OC-BC-HAMBURG-GE / 00:00 https://documentation.marine.copernicus.eu/IMG/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205.png OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205 Oceanographic geographical features GEMET - INSPIRE themes, version 1.0 2018-07-27 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme satellite-observation Discipline 2025-12-09 geonetwork.thesaurus.local.discipline.myocean.discipline surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air mass_concentration_of_suspended_matter_in_sea_water volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water_due_to_particles sea_water_turbidity mass_concentration_of_chlorophyll_a_in_sea_water sea_water_turbidity Climate and Forecast Standard Names 2017-04-04 geonetwork.thesaurus.external.parameter.myocean.ocean-variables near-real-time Temporal scale 2025-12-09 geonetwork.thesaurus.local.temporal-scale.myocean.temporal-scale coastal-marine-environment weather-climate-and-seasonal-forecasting marine-safety marine-resources Area of benefit 2025-12-09 geonetwork.thesaurus.local.area-of-benefit.myocean.area-of-benefit mediterranean-sea Reference Geographical Areas 2025-12-09 geonetwork.thesaurus.local.reference-geographical-area.myocean.reference-geographical-area Level 3 Processing level 2025-12-09 geonetwork.thesaurus.local.processing-level.myocean.processing-level Not Applicable Model assimilation 2016-02-03 geonetwork.thesaurus.external.theme.myocean.model-assimilation See Copernicus Marine Environment Monitoring Service Data commitments and licence at: http://marine.copernicus.eu/web/27-service-commitments-and-licence.php No limitations on public access Lavigne, H., et al. (2021), Quality-control tests for OC4, OC5 and NIR-red satellite chlorophyll-a algorithms applied to coastal waters, Remote Sensing of Environment, in press. 2019-05-08 Lee, Z. P., et al. (2002), Deriving inherent optical properties from water color: A multi- band quasi-analytical algorithm for optically deep waters, Applied Optics, 41, 5755-5772. 2019-05-08 Novoa, S., et al. (2017), Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters. Remote Sens., v. 9, 61. 2019-05-08 Gons, et al. (2005), Effect of a waveband shift on chlorophyll retrieval from MERIS imagery of inland and coastal waters, J. Plankton Res., v. 27, n. 1, p. 125-127. 2019-05-08 O'Reilly, et al. (2019), Chlorophyll algorithms for ocean color sensors-OC4, OC5 & OC6. Remote Sensing of Environment. 229, 32–47. 2019-05-08 f826e960-a9d2-433b-a420-e4b74f7ea8f5 311aa0e8-3987-478b-9e7e-960661e34da0 518531de-c5e4-4e21-9894-d482e32db1ea eng oceans bounding box -5.61 36.50 30.00 46.00 daily-mean 2020-01-01 0 0 display priority: 11705 observation vertical level number: 1 temporal resolution: daily mean false Grid NetCDF-4 Classic model http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs_oc_med_bgc_geophy_nrt_l3-hr_P1D-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_geophy_nrt_l3-hr_P1D-m For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs_oc_med_bgc_optics_nrt_l3-hr_P1D-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_optics_nrt_l3-hr_P1D-m For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs_oc_med_bgc_transp_nrt_l3-hr_P1D-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_transp_nrt_l3-hr_P1D-m For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3-hr-mosaic_P1D-m_202107/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3-hr-mosaic_P1D-m For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint https://wmts.marine.copernicus.eu/teroWmts/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3-hr-mosaic_P1D-m_202107 OGC:WMTS cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3-hr-mosaic_P1D-m http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs-oc_med_bgc-optics_nrt_l3-hr-mosaic_P1D-m_202511/dataset.stac.json WWW:STAC cmems_obs-oc_med_bgc-optics_nrt_l3-hr-mosaic_P1D-m For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint https://wmts.marine.copernicus.eu/teroWmts/OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205/cmems_obs-oc_med_bgc-optics_nrt_l3-hr-mosaic_P1D-m_202511 OGC:WMTS cmems_obs-oc_med_bgc-optics_nrt_l3-hr-mosaic_P1D-m COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification The myOcean products depends on other products for production or validation. The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 Xpath = "gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' or 'upstream-production']")