Deliverables & data

Monthly global Particulate Organic Carbon (POC) dataset

The monthly global Particulate Organic Carbon (POC) datasets contain POC concentrations gridded on both sinusoidal (SIN) and geographic (GEO) grid projections at 4 and 9 km spatial resolution for 1997-2020. The POC datasets have been produced using the Ocean Colour Climate Change Initiative Remote Sensing Reflectance (Rrs) products, Version 4.2 and 5. The datasets include 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 needs to be collected with high spatial and temporal resolution.
 
The datasets can be found via:
 
https://catalogue.ceda.ac.uk/uuid/299b1bb28eaa440f9a36e9786adfe398 (4 km, OC-CCI v4.2)
https://catalogue.ceda.ac.uk/uuid/5006f2c553cd4f26a6af0af2ee6d7c94 (4 km, OC-CCI v5)
 
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
 
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 v4.2 dataset), version 2. NERC EDS Centre for Environmental Data Analysis, 12 January 2022. doi:10.5285/299b1bb28eaa440f9a36e9786adfe398. http://dx.doi.org/10.5285/299b1bb28eaa440f9a36e9786adfe398


Monthly global Marine Phytoplankton Primary Production dataset

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 dataset). 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).

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.

The dataset can be found via: http://dx.doi.org/10.5285/69b2c9c6c4714517ba10dab3515e4ee6
 
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. 
 



Monthly global Phytoplankton Carbon dataset

A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020).
Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).

The dataset can be found via: http://dx.doi.org/10.5285/6a6ccbb8ef2645308a60dc47e9b8b5fb
 
Citable as:  Sathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Kulk, G.; Bouman, H.A. (2021): BICEP / NCEO: Monthly global Phytoplankton Carbon, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v5.0 dataset). NERC EDS Centre for Environmental Data Analysis, 22 December 2021. doi:10.5285/6a6ccbb8ef2645308a60dc47e9b8b5fb