Dataset
ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1
Update Frequency: Not Planned
Latest Data Update: 2018-05-30
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-06-25
Download Stats: last 12 months
Dataset Size: 9.57K Files | 6TB
Latest Info:
2018-07-04:
This dataset forms part of the v3.1 ocean colour dataset collection that can be cited with doi:10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5
(http://dx.doi.org/10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5)
(http://dx.doi.org/10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5)
This dataset has been superseded.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 3.1 Remote Sensing Reflectance product on a geographic 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, this dataset is also contained within the 'All Products' dataset.
This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).
Citable as: Sathyendranath, S.; Grant, M.; Brewin, R.J.W.; Brockmann, C.; Brotas, V.; Chuprin, A.; Doerffer, R.; Dowell, M.; Farman, A.; Groom, S.; Jackson, T.; Krasemann, H.; Lavender, S.; Martinez Vicente, V.; Mazeran, C.; Mélin, F.; Moore, T.S.; Müller, D.; Platt, T.; Regner, P.; Roy, S.; Steinmetz, F.; Swinton, J.; Valente, A.; Zühlke, M.; Antoine, D.; Arnone, R.; Balch, W.M.; Barker, K.; Barlow, R.; Bélanger, S.; Berthon, J.-F.; Beşiktepe, Ş.; Brando, V.E.; Canuti, E.; Chavez, F.; Claustre, H.; Crout, R.; Feldman, G.; Franz, B.; 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.; Muller-Karger, F.; O'Dowd, L.; Ondrusek, M.; Poulton, A.J.; Repecaud, M.; Smyth, T.; Sosik, H.M.; Taberner, M.; Twardowski, M.; Voss, K.; Werdell, J.; Wernand, M.; Zibordi, G. (2018): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/806b30b9dc7f44e6bd56a46d8bccf279
Abbreviation: Not defined
Keywords: ESA, CCI, Ocean Colour, Geographic, Reflectance
Details
| Previous Info: |
2018-07-04
This dataset forms part of the v3.1 ocean colour dataset collection that can be cited with doi:10.5285/9c334fbe6d424a708cf3c4cf…
Show More
2018-07-04
This dataset forms part of the v3.1 ocean colour dataset collection that can be cited with doi:10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5 |
|---|---|
| Previously used record identifiers: |
No related 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. |
| Data Quality: |
CCI data format checked
|
| File Format: |
Data are in NetCDF format
|
Process overview
- units: sr-1
- 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
- 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.
- units: sr-1
- long_name: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
- var_id: Rrs_490_bias
- names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
- units: sr-1
- 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
- names: Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
- units: sr-1
- 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
- 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_sum
- names: Count of the number of observations from the MERIS 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
- var_id: SeaWiFS_nobs_sum
- long_name: Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell
- names: Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell
- long_name: Count of the number of observations from the VIIRS sensor contributing to this bin cell
- var_id: VIIRS_nobs_sum
- names: Count of the number of observations from the VIIRS sensor contributing to this bin cell
- long_name: Count of the total number of observations contributing to this bin cell
- var_id: total_nobs_sum
- names: Count of the total number of observations contributing to this bin cell
- 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_class10
- long_name: Mean of normalised water class 10 membership over the compositing period
- 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
- var_id: water_class12
- long_name: Mean of normalised water class 12 membership over the compositing period
- names: Mean of normalised water class 12 membership over the compositing period
- var_id: water_class13
- long_name: Mean of normalised water class 13 membership over the compositing period
- names: Mean of normalised water class 13 membership over the compositing period
- var_id: water_class14
- long_name: Mean of normalised water class 14 membership over the compositing period
- 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_class3
- 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_class5
- long_name: Mean of normalised water class 5 membership over the compositing period
- names: Mean of normalised water class 5 membership over the compositing period
- var_id: water_class6
- long_name: Mean of normalised water class 6 membership over the compositing period
- names: Mean of normalised water class 6 membership over the compositing period
- var_id: water_class7
- long_name: Mean of normalised water class 7 membership over the compositing period
- 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
- 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
- var_id: water_class11
- 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
- var_id: water_class3
- 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
- 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
- var_id: water_class5
- 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
- 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
- var_id: water_class6
- 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
- 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
- var_id: water_class7
- 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
- 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
- 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.
- var_id: Rrs_412_rmsd
- names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 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 443 nm.
- var_id: Rrs_443_rmsd
- names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 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 490 nm.
- var_id: Rrs_490_rmsd
- 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.
- 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.
- var_id: Rrs_555_rmsd
- names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 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 670 nm.
- var_id: Rrs_670_rmsd
- names: Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
- units: sr-1
- 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
- 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.
- units: sr-1
- standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
- long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
- var_id: Rrs_443
- 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.
- units: sr-1
- standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
- 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.
- units: sr-1
- standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
- long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
- var_id: Rrs_510
- 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.
- units: sr-1
- standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
- long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm.
- var_id: Rrs_555
- 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.
- units: sr-1
- standard_name: surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air
- long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm.
- var_id: Rrs_670
- 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
- units: degrees_north
- standard_name: latitude
- long_name: latitude
- var_id: lat
- names: latitude
- units: degrees_east
- standard_name: longitude
- long_name: longitude
- var_id: lon
- names: longitude
- standard_name: time
- var_id: time
- names: time
Coverage
Temporal Range
Start time:
1997-09-03T23:00:00
End time:
2016-12-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
|
-90.0000° |
Related parties