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Dataset

 

BICEP / NCEO: Monthly global Marine Phytoplankton Primary Production, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)

Update Frequency: Not Planned
Latest Data Update: 2021-11-12
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-12-21
DOI Publication Date: 2021-12-22
Download Stats: last 12 months
Dataset Size: 276 Files | 19GB

Abstract

This dataset contains global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2018 at 9 km spatial resolution. Data are provided in NetCDF format.

Primary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function (see Kulk et al. 2020, Sathyendranath et al. 2020a, and references therein for details). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataet). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. In situ datasets of chlorophyll-a profile parameters and P-I parameters were incorporated as described in Kulk et al. (2020).

The primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’
(PICCOLO). Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon
Exchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged.

Data are provided as netCDF files containing global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2020 at 9 km spatial resolution.

References:

Kulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovac, Z.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12, 826. doi:10.3390/rs12050826

Sathyendranath, S.; Platt, T.; Žarko K.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Nón, E.M.; Kulk, G.; Bouman, H. Reconciling models of primary production and photoacclimation. Appl. Opt.
2020a, 59, C100-C114. doi.org/10.1364/AO.386252.

Citable as:  Kulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A.; Babin, M.; Brewin, R.J.W.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González-Benítez, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovač, Ž.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath, S. (2021): BICEP / NCEO: Monthly global Marine Phytoplankton Primary Production, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset). NERC EDS Centre for Environmental Data Analysis, 22 December 2021. doi:10.5285/69b2c9c6c4714517ba10dab3515e4ee6. https://dx.doi.org/10.5285/69b2c9c6c4714517ba10dab3515e4ee6
Abbreviation: Not defined
Keywords: Marine phytoplankton, primary production

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:

The primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’ (PICCOLO). They were delivered by project participants for long-term archiving to the Centre for Environmental Data Analysis (CEDA) archive.

Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon Exchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged.

Data Quality:
The model used to generate the marine phytoplankton primary production products (Platt & Sathyendranath 1988, updated according to Sathyendranath et al. 2020a and Kulk et al. 2020) has consistently performed well when compared with other models (Friedrichs et al. 2009, Buitenhuis et al. 2013, Lobanova et al. 2018). Considerable improvements have been made to the global coverage of the parameter database (Bouman et al. 2018, Kulk et al. 2020), while data provided by ESA’s Ocean Colour Climate Change Initiative (OC-CCI) project allowed for the use of over 20 years of remote-sensing observations. The OC-CCI products are multi-sensor products (reducing missing data), in which biases between sensors have been corrected (avoiding artificial trends in data arising from systematic differences between biases) and have been processed with a common protocol for calculation of chlorophyll-a concentration (minimising any systematic differences arising from differences between algorithms) (Sathyendranath et al. 2019).
File Format:
Data are in NetCDF format

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Džoić, T., Zorica, B., Matić, F., Šestanović, M., & Čikeš Keč, V. (2022). Cataloguing environmental influences on the spatiotemporal variability of Adriatic anchovy early life stages in the eastern Adriatic Sea using an artificial neural network. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.997937

Process overview

This dataset was generated by the computation detailed below.
Title

Computation of marine phytoplankton primary production

Abstract

Primary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameters photosynthesis versus irradiance (P-I) function (see Platt & Sathyendranath 1988 for original version and Sathyendranath et al. 2020a and Kulk et al. 2020 for a detailed description of the model used for the current products). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset, Sathyendranath et al. 2020b), Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and in situ datasets of chlorophyll-a profile parameters and P-I parameters were collected as described in Kulk et al. (2020).

Input Description

None

Output Description

None

Software Reference

None

  • var_id: pp
  • long_name: Phytoplankton Primary Production
  • standard_name: gross_primary_production_of_carbon
  • units: mg C m-2 d-1
  • var_id: lat
  • var_id: lon

Co-ordinate Variables

  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • units: degrees north
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
  • units: degrees east
  • long_name: time
  • standard_name: time
  • var_id: time