a5e7980d-e685-4c74-a8c2-b820537aeaf7 Copernicus Marine Service product specification CMEMS servicedesk.cmems@mercator-ocean.eu http://marine.copernicus.eu/ 2025-11-17T13:04:47.05133Z ISO 19139, MyOcean profile 0.2 2 0.1 0.1 false WGS 84 (EPSG:4326) EPSG Mediterranean Sea, Bio-Geo-Chemical, L4, monthly means and interpolated daily observation OCEANCOLOUR_MED_BGC_HR_L4_NRT_009_211 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 Level 4 (L4) Turbidity (TUR, expressed in FNU), Solid Particulate Matter Concentration (SPM, expressed in mg/l), particulate backscattering at 443nm (BBP443, 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. The products are delivered on a geographic lat-lon grid (EPSG:4326). BBP443, constitute the category of the 'optics' products. The BBP443 product is generated from the L3 RRS products using a quasi-analytical algorithm (Lee et al. 2002). he '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). Monthly products (P1M) are temporal aggregates of the daily L3 products. Daily products contain gaps in cloudy areas and where there is no overpass at the respective day. Aggregation collects the non-cloudy (and non-frozen) contributions to each pixel. Contributions are averaged per variable. While this does not guarantee data availability in all pixels in case of persistent clouds, it provides a more complete product compared to the sparsely filled daily products. The Monthly L4 products (P1M) are generally provided withing 4 days after the last acquisition date of the month. Daily gap filled L4 products (P1D) are generated using the DINEOF (Data Interpolating Empirical Orthogonal Functions) approach which reconstructs missing data in geophysical datasets by using a truncated Empirical Orthogonal Functions (EOF) basis in an iterative approach. DINEOF reconstructs missing data in a geophysical dataset by extracting the main patterns of temporal and spatial variability from the data. While originally designed for low resolution data products, recent research has resulted in the optimization of DINEOF to handle high resolution data provided by Sentinel-2 MSI, including cloud shadow detection (Alvera-Azcárate et al., 2021). These types of L4 products are generated and delivered one month after the respective period. '''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. This step comprises resampling to the 100m target grid. * Monthly L4 aggregation combines all Level 3 products of a month and a single tile. The output is a set of 3 NetCDF datasets for (1) optics and (2) turbidity, suspended matter and chlorophyll concentration, respectively for the month. * Gap filling combines all daily products of a period and generates (partially) gap-filled daily products again. The output of gap filling are 2 datasets for (1) optics (BBP443 only) and (2) turbidity, suspended mattr and chlorophyll concentration 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-009-201_to_212. '''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_l4-hr-mosaic_P1M-v01 *cmems_obs_oc_med_bgc_optics_nrt_l4-hr-mosaic_P1M-v01 *cmems_obs_oc_med_bgc_tur_spm_chl_nrt_l4-hr-mosaic_P1D-v01 *cmems_obs_oc_med_bgc_optics_nrt_l4-hr-mosaic_P1D-v01 '''Files format:''' *netCDF-4, CF-1.7 *INSPIRE compliant." '''DOI (product) :''' https://doi.org/10.48670/moi-00110 E.U. Copernicus Marine Service Information OC-BC-HAMBURG-GE / 23:59 https://documentation.marine.copernicus.eu/IMG/OCEANCOLOUR_MED_BGC_HR_L4_NRT_009_211.png OCEANCOLOUR_MED_BGC_HR_L4_NRT_009_211 Oceanographic geographical features GEMET - INSPIRE themes, version 1.0 2018-07-27 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme satellite-observation Discipline 2023-03-16 geonetwork.thesaurus.local.discipline.myocean.discipline surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air Sea_water_turbidity volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water_due_to_particles mass_concentration_of_suspended_matter_in_sea_water volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water_due_to_particles_443 sea_water_turbidity mass_concentration_of_chlorophyll_a_in_sea_water Climate and Forecast Standard Names 2017-04-04 geonetwork.thesaurus.external.parameter.myocean.ocean-variables near-real-time Temporal scale 2024-07-26 geonetwork.thesaurus.local.temporal-scale.myocean.temporal-scale coastal-marine-environment marine-resources marine-safety weather-climate-and-seasonal-forecasting Area of benefit 2025-07-29 geonetwork.thesaurus.local.area-of-benefit.myocean.area-of-benefit mediterranean-sea Reference Geographical Areas 2024-07-26 geonetwork.thesaurus.local.reference-geographical-area.myocean.reference-geographical-area Level 4 Processing level 2024-07-26 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 Alvera-Azcárate, Aida, et al. (2021), Detection of shadows in high spatial resolution ocean satellite data using DINEOF. Remote Sensing of Environment 253: 112229. 2019-05-08 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;monthly-mean 2020-01-01 0 0 display priority: 11705 observation vertical level number: 1 temporal resolution: monthly mean temporal resolution: daily mean false Grid NetCDF-4 Classic model http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L4_NRT_009_211/cmems_obs_oc_med_bgc_geophy_nrt_l4-hr_P1D-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_geophy_nrt_l4-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_geophy_nrt_l4-hr_P1M-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_geophy_nrt_l4-hr_P1M-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_optics_nrt_l4-hr_P1D-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_optics_nrt_l4-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_optics_nrt_l4-hr_P1M-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_optics_nrt_l4-hr_P1M-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_transp_nrt_l4-hr_P1D-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_transp_nrt_l4-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_transp_nrt_l4-hr_P1M-m_202105/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_transp_nrt_l4-hr_P1M-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l4-hr-mosaic_P1D-m_202107/dataset.stac.json WWW:STAC cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l4-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_L4_NRT_009_211/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l4-hr-mosaic_P1D-m_202107 OGC:WMTS cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l4-hr-mosaic_P1D-m http://stac.marine.copernicus.eu/metadata/OCEANCOLOUR_MED_BGC_HR_L4_NRT_009_211/cmems_obs-oc_med_bgc-optics_nrt_l4-hr-mosaic_P1D-m_202511/dataset.stac.json WWW:STAC cmems_obs-oc_med_bgc-optics_nrt_l4-hr-mosaic_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_L4_NRT_009_211/cmems_obs-oc_med_bgc-optics_nrt_l4-hr-mosaic_P1M-m_202511/dataset.stac.json WWW:STAC cmems_obs-oc_med_bgc-optics_nrt_l4-hr-mosaic_P1M-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_L4_NRT_009_211/cmems_obs-oc_med_bgc-tur-spm-chl_nrt_l4-hr-mosaic_P1M-m_202511/dataset.stac.json WWW:STAC cmems_obs-oc_med_bgc-tur-spm-chl_nrt_l4-hr-mosaic_P1M-m For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint 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']")