Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

ESA CCI Ocean Colour Product (CCI ALL-v4.2-DAILY), 0.04166666°, 1997-2019, Lon0360

Metadata Updated: June 10, 2023

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date September 1, 2022
Metadata Created Date July 16, 2021
Metadata Updated Date June 10, 2023
Reference Date(s) January 21, 2020 (creation)
Frequency Of Update

Metadata Source

Harvested from Pacific Fisheries Environmental Laboratory

Additional Metadata

Resource Type Dataset
Metadata Date September 1, 2022
Metadata Created Date July 16, 2021
Metadata Updated Date June 10, 2023
Reference Date(s) January 21, 2020 (creation)
Responsible Party Plymouth Marine Laboratory (Point of Contact)
Contact Email
Guid pmlEsaCCI42OceanColorDaily_Lon0360
Access Constraints
Bbox East Long 180.0
Bbox North Lat 89.97916
Bbox South Lat -89.97916
Bbox West Long -180.0
Coupled Resource [{"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}]
Frequency Of Update
Harvest Object Id 0e6220ba-90ce-48f4-af2f-119a52880907
Harvest Source Id 817069b7-5f4e-4664-9e6b-615af3dfcf2d
Harvest Source Title Pacific Fisheries Environmental Laboratory
Licence
Lineage Source data were: NASA OBPG SeaWiFS level2 R2018.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L2 R2018.0 [A/C via l2gen], NASA OBPG MODIS Aqua L2 R2018.0 and ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v4.8]; Derived products were mainly produced with functions validated from the current NASA SeaDAS release and some custom implementations. Uncertainty generation determined by the fuzzy classifier scheme of Tim Moore (2009).
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-180.0, -89.97916], [180.0, -89.97916], [180.0, 89.97916], [-180.0, 89.97916], [-180.0, -89.97916]]]}
Progress
Spatial Data Service Type ERDDAP griddap
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 1997-09-04T00:00:00Z
Temporal Extent End 2019-12-31T00:00:00Z

Didn't find what you're looking for? Suggest a dataset here.