Dataset
ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.2
Update Frequency: Not Planned
Latest Data Update: 2020-05-14
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2020-07-01
Download Stats: last 12 months
Dataset Size: 11.06K Files | 6TB
Latest Info:
2021-05-19:
This dataset forms part of the v4.2 ocean colour dataset collection that can be cited with the doi: 10.5285/d62f7f801cb54c749d20e736d4a1039
This dataset has been superseded.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 4.2 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.; Jackson, T.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Clements, O.; Cipollini, P.; Danne, O.; Dingle, J.; Donlon, C.; Grant, M.; Groom, S.; Krasemann, H.; Lavender, S.; Mazeran, C.; Mélin, F.; Moore, T.S.; Müller, D.; Regner, P.; Steinmetz, F.; Steele, C.; Swinton, J.; Valente, A.; Zühlke, M.; Feldman, G.; Franz, B.; Frouin, R.; Werdell, J.; Platt, T. (2020): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.2. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/51fc11a9438b466db2ec8bd098efe7d5
Abbreviation: Not defined
Keywords: ESA, CCI, Ocean Colour, Geographic, Reflectance
Details
| Previous Info: |
2021-05-19 This dataset forms part of the v4.2 ocean colour dataset collection that can be cited with the doi: 10.5285/d62f7f801cb54c749d2… Show More 2021-05-19 This dataset forms part of the v4.2 ocean colour dataset collection that can be cited with the doi: 10.5285/d62f7f801cb54c749d20e736d4a1039 Show Less |
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| Previously used record identifiers: |
No related previous identifiers.
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| 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: |
These data were 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: |
Data are as provided by the Ocean Colour CCI team. For details of validation see the linked Product User Guide and documentation on the Ocean Colour CCI website (https://climate.esa.int/en/projects/ocean-colour/)
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| File Format: |
Data are netCDF formatted.
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Process overview
This dataset was generated by the computation detailed below.
| Title | Derivation of Ocean Colour v4 data from the ESA Climate Change Initiative Ocean Colour project (Ocean_Colour_cci) |
| Abstract | The ocean colour CCI has calculated ocean colour Essential Climate Variable data, using input data from various satellite instruments, as part of the ESA Climate Change Initiative program. The v4 dataset has been created by band-shifting and bias-correcting MERIS, MODIS and VIIRS data to For more information see the Ocean Colour v4 Product User Guide. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- 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:
1997-09-03T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
|
-90.0000° |
Related parties