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Dataset

 
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ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 2.0

Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2016-12-12
Download Stats: last 12 months

This dataset has been superseded. See Latest Version here
Abstract

The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.

This dataset contains the Version 2.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset.

This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).

Citable as:  Sathyendranath, S.; Groom, S.; Grant, M.; Brewin, R.J.W.; Thompson, A.; Chuprin, A.; Horseman, A.; Jackson, T.; Martinez Vicente, V.; Platt, T.; Brockmann, C.; Zühlke, M.; Doerffer, R.; Valente, A.; Brotas, V.; Krasemann, H.; Müller, D.; Dowell, M.; Mélin, F.; Swinton, J.; Farman, A.; Lavender, S.; Moore, T.S.; Regner, P.; Roy, S.; Steinmetz, F.; Mazeran, C.; Brando, V.E.; Taberner, M.; Antoine, D.; Arnone, R.; Balch, W.M.; Barker, K.; Barlow, R.; Bélanger, S.; Berthon, J.-F.; Beşiktepe, Ş.; Canuti, E.; Chavez, F.; Claustre, H.; Crout, R.; Frouin, R.; García-Soto, C.; Gibb, S.W.; Gould, R.; Hooker, S.; Kahru, M.; Klein, H.; Kratzer, S.; Loisel, H.; McKee, D.; Mitchell, B.G.; Moisan, T.; Feldman, G.; Franz, B.; Muller-Karger, F.; O'Dowd, L.; Ondrusek, M.; Poulton, A.J.; Repecaud, M.; Smyth, T.; Sosik, H.M.; Twardowski, M.; Voss, K.; Werdell, J.; Wernand, M.; Zibordi, G. (2016): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 2.0. Centre for Environmental Data Analysis, date of citation. http://catalogue.ceda.ac.uk/uuid/8b087afe9d53471ea98ffa092867d289
Abbreviation: Not defined
Keywords: ESA, CCI, Ocean Colour, Sinusoidal, Reflectance

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No releated previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://licences.ceda.ac.uk/image/data_access_condition/esacci_oc_terms_and_conditions.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

This data has been produced by the ESA Ocean Colour CCI project and provided to CEDA in the context of the ESA CCI Open Data Portal project

File Format:
Data are in NetCDF format

Process overview

  • long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
  • var_id: Rrs_412_bias
  • units: sr-1
  • names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
  • units: sr-1
  • long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
  • var_id: Rrs_443_bias
  • names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
  • var_id: Rrs_490_bias
  • units: sr-1
  • long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
  • var_id: Rrs_510_bias
  • units: sr-1
  • names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
  • long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
  • var_id: Rrs_555_bias
  • units: sr-1
  • names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
  • units: sr-1
  • long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
  • var_id: Rrs_670_bias
  • names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
  • long_name: Count of the number of observations from the MERIS sensor contributing to this bin cell
  • var_id: MERIS_nobs
  • names: Count of the number of observations from the MERIS sensor contributing to this bin cell
  • var_id: MERIS_nobs_sum
  • long_name: Count of the number of observations from the MERIS sensor contributing to this bin cell
  • names: Count of the number of observations from the MERIS sensor contributing to this bin cell
  • var_id: MODISA_nobs
  • long_name: Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
  • names: Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
  • var_id: MODISA_nobs_sum
  • long_name: Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
  • names: Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
  • long_name: Count of the number of observations from the SeaWiFS sensor contributing to this bin cell
  • var_id: SeaWiFS_nobs
  • names: Count of the number of observations from the SeaWiFS sensor contributing to this bin cell
  • long_name: Count of the number of observations from the SeaWiFS sensor contributing to this bin cell
  • var_id: SeaWiFS_nobs_sum
  • names: Count of the number of observations from the SeaWiFS sensor contributing to this bin cell
  • long_name: Count of the total number of observations contributing to this bin cell
  • var_id: total_nobs
  • names: Count of the total number of observations contributing to this bin cell
  • var_id: total_nobs_sum
  • long_name: Count of the total number of observations contributing to this bin cell
  • names: Count of the total number of observations contributing to this bin cell
  • var_id: water_class10
  • long_name: Mean of normalised water class 0 membership over the compositing period
  • names: Mean of normalised water class 0 membership over the compositing period
  • var_id: water_class1
  • long_name: Mean of normalised water class 1 membership over the compositing period
  • names: Mean of normalised water class 1 membership over the compositing period
  • var_id: water_class11
  • long_name: Mean of normalised water class 1 membership over the compositing period
  • names: Mean of normalised water class 1 membership over the compositing period
  • long_name: Mean of normalised water class 10 membership over the compositing period
  • var_id: water_class10
  • names: Mean of normalised water class 10 membership over the compositing period
  • var_id: water_class11
  • long_name: Mean of normalised water class 11 membership over the compositing period
  • names: Mean of normalised water class 11 membership over the compositing period
  • long_name: Mean of normalised water class 12 membership over the compositing period
  • var_id: water_class12
  • names: Mean of normalised water class 12 membership over the compositing period
  • long_name: Mean of normalised water class 13 membership over the compositing period
  • var_id: water_class13
  • names: Mean of normalised water class 13 membership over the compositing period
  • long_name: Mean of normalised water class 14 membership over the compositing period
  • var_id: water_class14
  • names: Mean of normalised water class 14 membership over the compositing period
  • var_id: water_class2
  • long_name: Mean of normalised water class 2 membership over the compositing period
  • names: Mean of normalised water class 2 membership over the compositing period
  • var_id: water_class12
  • long_name: Mean of normalised water class 2 membership over the compositing period
  • names: Mean of normalised water class 2 membership over the compositing period
  • long_name: Mean of normalised water class 3 membership over the compositing period
  • var_id: water_class3
  • names: Mean of normalised water class 3 membership over the compositing period
  • var_id: water_class13
  • long_name: Mean of normalised water class 3 membership over the compositing period
  • names: Mean of normalised water class 3 membership over the compositing period
  • var_id: water_class4
  • long_name: Mean of normalised water class 4 membership over the compositing period
  • names: Mean of normalised water class 4 membership over the compositing period
  • var_id: water_class14
  • long_name: Mean of normalised water class 4 membership over the compositing period
  • names: Mean of normalised water class 4 membership over the compositing period
  • long_name: Mean of normalised water class 5 membership over the compositing period
  • var_id: water_class5
  • names: Mean of normalised water class 5 membership over the compositing period
  • long_name: Mean of normalised water class 6 membership over the compositing period
  • var_id: water_class6
  • names: Mean of normalised water class 6 membership over the compositing period
  • long_name: Mean of normalised water class 7 membership over the compositing period
  • var_id: water_class7
  • names: Mean of normalised water class 7 membership over the compositing period
  • var_id: water_class8
  • long_name: Mean of normalised water class 8 membership over the compositing period
  • names: Mean of normalised water class 8 membership over the compositing period
  • var_id: water_class9
  • long_name: Mean of normalised water class 9 membership over the compositing period
  • names: Mean of normalised water class 9 membership over the compositing period
  • var_id: water_class1
  • long_name: Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • names: Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 10 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class10
  • names: Normalised water class 10 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class11
  • long_name: Normalised water class 11 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • names: Normalised water class 11 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 12 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class12
  • names: Normalised water class 12 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 13 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class13
  • names: Normalised water class 13 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 14 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class14
  • names: Normalised water class 14 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class2
  • long_name: Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • names: Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 3 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class3
  • names: Normalised water class 3 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class4
  • long_name: Normalised water class 4 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • names: Normalised water class 4 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 5 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class5
  • names: Normalised water class 5 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 6 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class6
  • names: Normalised water class 6 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • long_name: Normalised water class 7 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class7
  • names: Normalised water class 7 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class8
  • long_name: Normalised water class 8 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • names: Normalised water class 8 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: water_class9
  • long_name: Normalised water class 9 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • names: Normalised water class 9 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data
  • var_id: Rrs_412_rmsd
  • units: sr-1
  • long_name: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
  • names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
  • long_name: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
  • var_id: Rrs_443_rmsd
  • units: sr-1
  • names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
  • long_name: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • var_id: Rrs_490_rmsd
  • units: sr-1
  • names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • units: sr-1
  • long_name: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
  • var_id: Rrs_510_rmsd
  • names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
  • var_id: Rrs_555_rmsd
  • units: sr-1
  • long_name: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
  • names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
  • long_name: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
  • var_id: Rrs_670_rmsd
  • units: sr-1
  • names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
  • standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
  • var_id: Rrs_412
  • units: sr-1
  • names: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
  • standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
  • units: sr-1
  • var_id: Rrs_443
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
  • names: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
  • standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
  • units: sr-1
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • var_id: Rrs_490
  • names: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • var_id: Rrs_510
  • standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
  • units: sr-1
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
  • names: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
  • var_id: Rrs_555
  • units: sr-1
  • standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
  • names: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
  • standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
  • units: sr-1
  • var_id: Rrs_670
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
  • names: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
  • var_id: crs

Co-ordinate Variables

  • standard_name: latitude
  • var_id: lat
  • units: degrees_north
  • names: latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1997-09-04T00:00:00
End time:
2013-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°