ca473ed2-d216-4a39-b7f4-1f4c81e46015 Copernicus Marine Service product specification CMEMS servicedesk.cmems@mercator-ocean.eu http://marine.copernicus.eu/ 2021-07-19T09:02:45 ISO 19139, MyOcean profile 0.2 2 1 1 false EPSG North Atlantic Ocean Chlorophyll-a anomalies ATLANTIC_OMI_HEALTH_OceanColour_anomalies 2018-02-12 3.4 2018-02-12 a78600a4-a280-47b5-8ddd-0dc8b5e9c9d9 '''DEFINITION:''' The regional annual chlorophyll anomaly is computed by subtracting a reference climatology (1997-2014) from the annual chlorophyll mean, on a pixel-by-pixel basis and in log10 space. Both the annual mean and the climatology are computed employing the regional products as distributed by CMEMS, derived by application of the regional chlorophyll algorithms over remote sensing reflectances (Rrs) provided by the ESA Ocean Colour Climate Change Initiative (ESA OC-CCI, Sathyendranath et al., 2018a). '''CONTEXT:''' Phytoplankton – and chlorophyll concentration as their proxy – respond rapidly to changes in their physical environment. In the North Atlantic region these changes present a distinct seasonality and are mostly determined by light and nutrient availability (González Taboada et al., 2014). By comparing annual mean values to a climatology, we effectively remove the seasonal signal at each grid point, while retaining information on potential events during the year (Gregg and Rousseaux, 2014). In particular, North Atlantic anomalies can then be correlated with oscillations in the Northern Hemisphere Temperature (Raitsos et al., 2014). Chlorophyll anomalies also provide information on the status of the North Atlantic oligotrophic gyre, where evidence of rapid gyre expansion has been found for the 1997-2012 period (Polovina et al. 2008, Aiken et al., 2017, Sathyendranath et al., 2018b). '''CMEMS KEY FINDINGS:''' The average chlorophyll anomaly in the North Atlantic is -0.02 log10(mg m-3), with a maximum value of 1.0 log10(mg m-3) and a minimum value of -1.0 log10(mg m-3). That is to say that, in average, the annual 2019 mean value is slightly lower (96%) than the 1997-2014 climatological value. A moderate increase in chlorophyll concentration was observed in 2019 over the Bay of Biscay and regions close to Iceland and Greenland, such as the Irminger Basin and the Denmark Strait. In particular, the annual average values for those areas are around 160% of the 1997-2014 average (anomalies > 0.2 log10(mg m-3)). While the significant negative anomalies reported for 2016-2017 (Sathyendranath et al., 2018c) in the area west of the Ireland and Scotland coasts continued to manifest, the Irish and North Seas returned to their normative regime during 2019, with anomalies close to zero. A change in the anomaly sign (positive to negative) was also detected for the West European Basin, with annual values as low as 60% of the 1997-2014 average. This reduction in chlorophyll might be matched with negative anomalies in sea level during the period, indicating a dominance of upwelling factors over stratification. E.U. Copernicus Marine Service Information Rosalia SANTOLERI OC-CNR-ROMA-IT rosalia.santoleri@artov.isac.cnr.it Silvia PARDO OC-PML-PLYMOUTH-UK bac@pml.ac.uk CMEMS-DU OC-CNR-ROMA-IT gsdk@isac.cnr.it Ben TAYLOR OC-PML-PLYMOUTH-UK cmems@pml.ac.uk MOI-OMI-SERVICE MOI-OMI-SERVICE omi.service@mercator-ocean.fr P0M0D0H/P0M0D0H N/A https://catalogue.marine.copernicus.eu/documents/IMG/ATLANTIC_OMI_HEALTH_OceanColour_anomalies.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 Climate and Forecast Standard Names 2017-04-04 geonetwork.thesaurus.external.parameter.myocean.ocean-variables multi-year Temporal scale 2009-06-12 geonetwork.thesaurus.local.temporal-scale.myocean.temporal-scale marine-safety weather-climate-and-seasonal-forecasting coastal-marine-environment marine-resources Area of benefit 2009-09-09 geonetwork.thesaurus.local.area-of-benefit.myocean.area-of-benefit mediterranean-sea baltic-sea iberian-biscay-irish-seas Reference Geographical Areas 2009-09-09 geonetwork.thesaurus.local.reference-geographical-area.myocean.reference-geographical-area Level 4 Processing level 2009-06-12 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 Aiken, J., Brewin, R.J.W. , Dufois, F., Polimene, L., Hardman-Mountford, N.J., Jackson, T., Loveday, B., Hoya, S.M. , Dall’olmo, G., Stephens, J., Hirata, T., 2017. A synthesis of the environmental response of the North and South Atlantic Sub-Tropical Gyres during two decades of AMT. Progress in Oceanography, 158, 236-254. doi:10.1016/j.pocean.2016.08.004. 2019-05-08 Gregg, W. W., and C. S. Rousseaux. 2014. Decadal Trends in Global Pelagic Ocean Chlorophyll: A New Assessment Integrating Multiple Satellites, in Situ Data, and Models. Journal of Geophysical Research Oceans 119. doi:10.1002/2014JC010158. 2019-05-08 González Taboada, F. and Anadón, R., 2014, Seasonality of North Atlantic phytoplankton from space: impact of environmental forcing on a changing phenology (1998–2012). Glob Change Biol, 20: 698-712. 10.1111/gcb.12352 2019-05-08 Polovina, JJ., Howell, EA., Abecassis, M., 2008. Ocean’s least productive waters are expanding. Geophys Res Lett 35(3). doi: 10.1029/2007gl031745. 2019-05-08 Raitsos, D. E., Pradhan, Y. , Lavender, S. J., Hoteit, I. , McQuatters‐Gollop, A. , Reid, P. C. and Richardson, A. J., 2014. From silk to satellite: half a century of ocean colour anomalies in the Northeast Atlantic. Glob Change Biol, 20: 2117-2123. doi:10.1111/gcb.12457 2019-05-08 Sathyendranath, S., et al., 2018a. ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 3.1. Technical Report Centre for Environmental Data Analysis. doi:10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5. 2019-05-08 Sathyendranath, S., Pardo, S., Brewin, R. J.W., 2018b, 2.5. Oligotrophic gyres in Copernicus Marine Service Ocean State Report Issue 2, Journal of Operational Oceanography, 11:sup1, S1-S142, doi: 10.1080/1755876X.2018.1489208 2019-05-08 Sathyendranath, S., Pardo, S., Benincasa, M., Brando, V. E., Brewin, R. J.W., Mélin, F., Santoleri, R., 2018c, 1.5. Essential Variables: Ocean Colour in Copernicus Marine Service Ocean State Report - Issue 2, Journal of Operational Oceanography, 11:sup1, 1-142, doi: 10.1080/1755876X.2018.1489208 2019-05-08 5c9679a4-8326-479a-b07d-b8093f140f02 eng oceans bounding box -46.00 13.00 20.00 66.00 1901-01-01 1901-01-01 0 0.0 display priority: 53800 observation vertical level number: 1 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']")