ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection at 4km resolution, Version 6.0 2016
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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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).
Links
- CEDA Data Catalogue Page - Detail and access information for the resource (describedby)
- Product User Guide - No further details. (describedby)
- ESA Climate Change Initiative website - No further details. (describedby)
- ESA CCI Ocean Colour project website - No further details. (describedby)
- Atom format (alternate)
- Dublin Core metadata (alternate)
- JSON-LD metadata (alternate)
- JSON-LD (schema.org) metadata (alternate)
- JSON-LD (GeoDCAT-AP) metadata (alternate)
- RDF/XML metadata (alternate)
- RDF/XML (schema.org) metadata (alternate)
- RDF/XML (GeoDCAT-AP) metadata (alternate)
- Turtle metadata (alternate)
- Turtle (schema.org) metadata (alternate)
- Turtle (GeoDCAT-AP) metadata (alternate)
- 2016-01 (child)
- 2016-02 (child)
- 2016-03 (child)
- 2016-04 (child)
- 2016-05 (child)
- 2016-06 (child)
- 2016-07 (child)
- 2016-08 (child)
- 2016-09 (child)
- 2016-10 (child)
- 2016-11 (child)
- 2016-12 (child)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161225-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161226-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161227-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161228-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161229-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161230-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1D_DAILY_4km_GEO_PML_RRS-20161231-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201601-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201602-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201603-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201604-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201605-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201606-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201607-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201608-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201609-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201610-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201611-fv6.0.nc (item)
- ESACCI-OC-L3S-RRS-MERGED-1M_MONTHLY_4km_GEO_PML_RRS-201612-fv6.0.nc (item)
- First items (first)
- Previous items (previous)
- Last items (last)