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Dataset

 

BICEP / NCEO: Monthly global Oceanic Export Production, between 1998-2019 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)

Update Frequency: Not Planned
Latest Data Update: 2021-12-20
Status: Pending
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-12-21
DOI Publication Date: 2022-02-17
Download Stats: last 12 months
Dataset Size: 265 Files | 55GB

Abstract

This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. Data is provided between 1998-2019 at 9 km resolution. It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset.

Export production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption.

Citable as:  Jönsson, B.F.; Sathyendranath, S.; Kulk, G.; Dall'Olmo, G. (2022): BICEP / NCEO: Monthly global Oceanic Export Production, between 1998-2019 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset). NERC EDS Centre for Environmental Data Analysis, 17 February 2022. doi:10.5285/a6fc730d88fd4935b59d64903715d891. https://dx.doi.org/10.5285/a6fc730d88fd4935b59d64903715d891
Abbreviation: Not defined
Keywords: Oceanic Export Production, BICEP

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:

The data was produced as part of the BICEP project, and has been supplied to the Centre for Environmental Data Analysis for long term archiving.

The data has been derived from the following datasets:

SST is based on reprojected fields from GHRSST/OSTIA (doi:10.5067/GHOST-4FK01), Chl and kd490 is from OC-CCI (https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863, https://catalogue.ceda.ac.uk/uuid/db32212d86f9431dae67076dd122565e), and primary production from BICEP (https://catalogue.ceda.ac.uk/uuid/69b2c9c6c4714517ba10dab3515e4ee6). The algorithms used are described in the papers listed in the documentation section.

Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are in NetCDF format

Process overview

This dataset was generated by the computation detailed below.
Title

Empirical Export Production algorithms for the dataset "Oceanic Export Production Based on Satellite-Derived Properties"

Abstract

Oceanic Export Production has been calculated using Export Production algorithms, SST, Chl, kd490, and primary production.

The SST data used is based on reprojected fields from GHRSST/OSTIA (doi:10.5067/GHOST-4FK01 ), the Chl and kd490 is from the Ocean Colour Climate Change Initiative (https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863, https://catalogue.ceda.ac.uk/uuid/db32212d86f9431dae67076dd122565e), and the primary production data from BICEP (https://catalogue.ceda.ac.uk/uuid/69b2c9c6c4714517ba10dab3515e4ee6). The algorithms used are described in the papers listed in the docs section.

Input Description

None

Output Description

None

Software Reference

None

  • var_id: EP_Dunne
  • var_id: EP_Henson
  • var_id: EP_Li
  • var_id: lat
  • var_id: lon
  • var_id: time

Co-ordinate Variables

Coverage
Temporal Range
Start time:
1998-01-01T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°