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Dataset

 

NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)

Latest Data Update: 2020-09-25
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-12-09
DOI Publication Date: 2021-01-07
Download Stats: last 12 months
Dataset Size: 543 Files | 540GB

This dataset has been superseded. See Latest Version here
Abstract

The National Centre for Earth Observation (NCEO): Monthly global Particulate Organic Carbon (POC) dataset contains POC concentrations gridded on both sinusoidal (SIN) and geographic (GEO) grid projections at 4 km spatial resolution for 1997-2020. The POC dataset has been produced using the Ocean Colour Climate Change Initiative Remote Sensing Reflectance (Rrs) products, Version 4.2. The dataset includes the Rrs at 443 nm and 555 nm with pixel-by-pixel uncertainty estimates for each wavelength.

For more details on the algorithm and its validation, please see papers by Stramski et al. (2008) and Evers-King et al. (2017). Please note that the validation of the POC algorithm is a continuing process. To increase the accuracy of POC algorithms, further in situ POC data need to be collected with high spatial and temporal resolution.

Citable as:  Sathyendranath, S.; Kong, C.; Jackson, T. (2021): NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset). Centre for Environmental Data Analysis, 07 January 2021. doi:10.5285/ef09d81517a84979ac60329e4859f449. https://dx.doi.org/10.5285/ef09d81517a84979ac60329e4859f449
Abbreviation: Not defined
Keywords: NCEO, BICEP, Ocean, Particulate Organic Carbon, Ocean Colour Climate Change Initiative

Details

Previous Info:
No news update for this record
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(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were produced by the PML NCEO project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

The research underpinning the work is supported by the ESA Biological Pump and Carbon Export Processes (BICEP) Project, and the product generation is supported by the National Centre for Earth Observation (NCEO)

Data Quality:
See POC algorithm comparisons in Evers-King et al. (2017). The paper concluded (see abstract):“The results of this validation exercise indicate satisfactory levels of performance from several algorithms (highest performance was observed from the algorithms of Loisel et al., 2002; Stramski et al., 2008) and uncertainties that are within the requirements of the user community.
File Format:
CF compliant NetCDF

Process overview

This dataset was generated by the computation detailed below.
Title

NCEO: Monthly global Particulate Organic Carbon (POC), Version 4.2

Abstract

The monthly global oceanic POC data for 1997-2020 was produced using the Ocean Colour Climate Change Initiative remote sensing reflectance product, Version 4.2. The POC data has been calculated using the Stramski et al. (2008) empirical POC band ratio algorithms. References can be found in the documentation section.

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 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 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.
  • long_name: Particulate Organic Carbon
  • units: mg m^-3
  • var_id: POC
  • names: Particulate Organic Carbon
  • 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 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
  • 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 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.
  • var_id: crs

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1997-09-01T00:00:00
End time:
2020-03-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°