8442113d-3f38-48f8-a4c4-f17e87d171ec Copernicus Marine Service product specification CMEMS servicedesk.cmems@mercator-ocean.eu http://marine.copernicus.eu/ 2022-06-28T13:41:38.09Z ISO 19139, MyOcean profile 0.2 2 0.3 0.3 false WGS 84 / Plate Carree (EPSG:32662) EPSG [ARCHIVE] North Atlantic Surface Chlorophyll Concentration from Satellite observations: monthly OCEANCOLOUR_ATL_CHL_L4_NRT_OBSERVATIONS_009_090 2012-08-26 2.1 2021-04-26 8442113d-3f38-48f8-a4c4-f17e87d171ec '''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu '''Short description:''' For the North Atlantic and Arctic oceans, the ESA Ocean Colour CCI Remote Sensing Reflectance (merged, bias-corrected Rrs) data are used to compute surface Chlorophyll (mg m-3, 1 km resolution) using the regional OC5CCI chlorophyll algorithm. The Rrs are generated by merging the data from SeaWiFS, MODIS-Aqua, MERIS, VIIRS and OLCI-3A sensors and realigning the spectra to that of the MERIS sensor. The algorithm used is OC5CCI - a variation of OC5 (Gohin et al., 2002) developed by IFREMER in collaboration with PML. As part of this development, an OC5CCI look up table was generated specifically for application over OC-CCI merged daily remote sensing reflectances. The resulting OC5CCI algorithm was tested and selected through an extensive calibration exercise that analysed the quantitative performance against in situ data for several algorithms in these specific regions. Processing information: PML's Remote Sensing Group has the capability to automatically receive, archive, process and map global data from multiple polar-orbiting sensors in both near-real time and delayed time. OLCI products are downloaded at level-1 from CODA, the Copernicus Hub and/or via EUMETCAST. These products are remapped at nominal 300m and 1 Km spatial resolution using cylindrical equirectangular projection. 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 chlorophyll content can be derived. '''Processing information:''' ESA OC-CCI Rrs raw data are provided by Plymouth Marine Laboratory, currently at 4km resolution globally. These are processed to produce chlorophyll concentration 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. Both OC CCI and the REP product are versioned. 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. A detailed description of the ESA OC-CCI processing system can be found in OC-CCI (2014e). '''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 chlorophyll content can be derived. '''Quality / Accuracy / Calibration information:''' Detailed description of cal/val is given in the relevant QUID, associated validation reports and quality documentation. '''DOI (product) :''' https://doi.org/10.48670/moi-00073 E.U. Copernicus Marine Service Information Emanuele BÖHM OC-CNR-ROMA-IT gsdk@isac.cnr.it Rosalia SANTOLERI OC-CNR-ROMA-IT rosalia.santoleri@cnr.it Ben CALTON OC-PML-PLYMOUTH-UK bac@pml.ac.uk Ben CALTON OC-PML-PLYMOUTH-UK cmems@pml.ac.uk Javier CONCHA OC-CNR-ROMA-IT gsdk@isac.cnr.it P0M0D0H/P0M0D0H 18:00 https://catalogue.marine.copernicus.eu/documents/IMG/OCEANCOLOUR_ATL_CHL_L4_NRT_OBSERVATIONS_009_090.png Oceanographic geographical features GEMET - INSPIRE themes, version 1.0 2009-09-22 satellite-observation Discipline 2017-04-25 geonetwork.thesaurus.local.discipline.myocean.discipline 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 2009-06-12 geonetwork.thesaurus.local.temporal-scale.myocean.temporal-scale marine-safety coastal-marine-environment weather-climate-and-seasonal-forecasting marine-resources Area of benefit 2009-09-09 geonetwork.thesaurus.local.area-of-benefit.myocean.area-of-benefit iberian-biscay-irish-seas north-west-shelf-seas Reference Geographical Areas 2009-09-09 geonetwork.thesaurus.local.reference-geographical-area.myocean.reference-geographical-area Level 4 Processing level 2021-07-26 geonetwork.thesaurus.local.processing-level.myocean.processing-level Not Applicable Model assimilation 2016-02-03 geonetwork.thesaurus.external.theme.myocean.model-assimilation Data Mission Atlantic - Resources 2021-12-08 geonetwork.thesaurus.local.theme.mission-atlantic-resources Modelling data Mission Atlantic - Data type (DMP) 2021-11-30 geonetwork.thesaurus.local.theme.mission-atlantic-data-type /Cross-discipline/Rate measurements Mission Atlantic - BODC Parameters 2021-05-04 geonetwork.thesaurus.local.theme.mission-atlantic-bodc-parameters 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 7bdc830b-6321-4ffb-ae76-8707256c6d03 830fbbf2-0277-4b5b-a8d2-1eab4de41e33 Hu, C., Z. Lee, and B.A. Franz (2012). Chlorophyll-a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference, J. Geophys. Res., 117, C01011, doi:10.1029/2011JC007395. 2019-05-08 Gohin, F., Saulquin, B., Oger-Jeanneret, H., Lozac'h, L., Lampert, L., Lefebvre, A., Riou, P., and Bruchon, F.: Towards a better assessment of the ecological status of coastal waters using satellite-derived chlorophyll-a D57concentrations, Remote Sensing of Environment, 112, 3329-3340, 10.1016/j.rse.2008.02.014, 2008. 2019-05-08 McClain, C. R., Arrigo, K. R., Esaias, W., Darzi, M., Patt, F. S., Evans, R. H., et al.(1995). SeaWiFS Algorithms, Part 1. NASA Tech. Memo. 104566, Vol. 28 Greenbelt, Maryland: NASA Goddard Space Flight Center. 2019-05-08 OC-CCI 2014e, System Prototype Description, Ref: D3.1, 11/02/14, Issue: 1.1, ESA/ESRIN, AO-1/6207/09/I-LG, http://www.esa-oceancolour-cci.org 2019-05-08 eng oceans bounding box -46.00 13.00 20.00 66.00 monthly-mean 2016-04-25 0 0 display priority: 11201 observation vertical level number: 1 temporal resolution: monthly mean false Grid NetCDF-4 Classic model 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']")