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Dataset

 

BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v5.0 dataset)

Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-12-21
DOI Publication Date: 2022-01-12
Download Stats: last 12 months

Abstract

The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v5 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO).

The POC datasets have been produced by using a modified empirical band ratio algorithm by Stramski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Remote Sensing Reflectance (Rrs) at 490 nm and 560 nm obtained from the ESA Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5). For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home).

A related dataset based on the ESA Ocean Colour Climate Change Initiative v4.2 data is also available (see link in the related records section).

Citable as:  Sathyendranath, S.; Kong, C.E.; Jackson, T. (2022): BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v5.0 dataset). NERC EDS Centre for Environmental Data Analysis, 12 January 2022. doi:10.5285/5006f2c553cd4f26a6af0af2ee6d7c94. http://dx.doi.org/10.5285/5006f2c553cd4f26a6af0af2ee6d7c94
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: 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 Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project and the product generation was supported by the National Centre for Earth Observation (NCEO).

Data Quality:
BICEP/NCEO: Four key satellite-based approaches (Stramski et al, 2008; Loisel et al., 2002; Le et al., 2018; Tran et al., 2019) were evaluated to estimate the global ocean surface Particulate Organic Carbon (POC) using a large collection of in situ data matched up with the Ocean Colour Climate Change Initiative version 5 (OC-CCI v5) (1997-2020), with the objective of providing an improved satellite-derived global surface POC algorithm. The candidate algorithms were carefully evaluated using the core variables suggested by the algorithm developers. Of these candidate algorithms, the remote sensing reflectance (Rrs) band ratio of algorithm by Stramski et al. (2008) showed a relatively good performance with lowest uncertainties. This algorithm was then re-calibrated to provide an accurate estimation of global POC concentration from the OC-CCI v5. For more details of the modified algorithm, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep -project.org/Home).
File Format:
NetCDF

Process overview

This dataset was generated by the computation detailed below.
Title Computation of the Particular Organic Carbon product produced from the Ocean Colour Climate Change Initiative v5.0 dataset
Abstract Computation of the Particulate Organic Carbon (POC) v5 products on sinusoidal and geographic projections at 4 km resolution are based on a modified remote sensing reflectance (Rrs) band ratio algorithm by Stamski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. The Rrs at 490 and 560 nm were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5) (Sathyendranath et al., 2021). The coefficient parameters of the algorithm were estimated by applying Type II linear regression model to a global in-situ and OC-CCI v5 satellite match-up POC products. Uncertainties of log_10 transformed POC in each pixel were computed by weighting the uncertainties in each OC-CCI optical water class by their membership (Brewin et al., 2017; Jackson et al., 2017). For moredetails about algorithm and validations, please see BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home).
Input Description None
Output Description None
Software Reference None
  • units: mg m^-3
  • long_name: Bias of log10 transformed Particulate Organic Carbon
  • standard_name: per_pixel_bias_of_log10_particulate_organic_carbon_in_sea_water
  • var_id: POC_bias
  • names: Bias of log10 transformed Particulate Organic Carbon, per_pixel_bias_of_log10_particulate_organic_carbon_in_sea_water
  • long_name: Particulate Organic Carbon
  • units: mg m^-3
  • var_id: POC
  • standard_name: mass_concentration_of_particulate_organic_carbon_in_sea_water
  • names: Particulate Organic Carbon, mass_concentration_of_particulate_organic_carbon_in_sea_water
  • units: mg m^-3
  • long_name: Root-mean-square-difference of log10 transformed Particulate Organic Carbon
  • standard_name: per_pixel_root_mean_square_difference_of_log10_particulate_organic_carbon_in_sea_water
  • var_id: POC_rmsd
  • names: Root-mean-square-difference of log10 transformed Particulate Organic Carbon, per_pixel_root_mean_square_difference_of_log10_particulate_organic_carbon_in_sea_water
  • units: sr-1
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
  • var_id: Rrs_490
  • standard_name: remote_sensing_reflectance_490nm_in_sea_water
  • names: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., remote_sensing_reflectance_490nm_in_sea_water
  • units: sr-1
  • long_name: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.
  • var_id: Rrs_560
  • standard_name: remote_sensing_reflectance_560nm_in_sea_water
  • names: Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., remote_sensing_reflectance_560nm_in_sea_water

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:
2020-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°