Arctic Ocean Net Primary Production from 2003-2023: Model Daily Outputs
Authors/Creators
Contributors
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Description
Contributors listed in alphabetical order
Overview
For the Arctic Ocean Satellite Observations, Takuvik International Research Laboratory (Université Laval and CNRS, Québec, Canada) is providing the Net Primary Production product.
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Variables: Net Primary Production (NPP)
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Temporal resolutions: daily product.
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Spatial resolutions: 4 km
To find the Takuvik NPP products in Zenodo, use the search keyword Arctic Ocean Primary Production.
The Takuvik NPP model uses as input data the bathymetry, reflectances, chlorophyll-a concentration and atmospheric data. The description and the code of the model can be found at https://doi.org/10.5281/zenodo.14715624
In this version of the Takuvik NPP model, daily reflectances from OC-CCI v6.0 data (Sathyendranath et al., 2023) have been used as input. These level 3 binned (L3b) product is based on a prior reflectance merging from multi-sensor time-series of satellite ocean-colour data. For the atmospheric products, MODIS Atmosphere L3 Daily Product data were used (Platnick et al. 2015). Chlorophyll-a was calculated from the OC-CCI reflectances, using the GSM semi-analytical algorithm (Maritorena et al., 2002) adapted for the Arctic by Li et al. (2004), and the International Bathymetric Chart of the Arctic Ocean (IBCAO) 5.0 (Jakobsson et al., 2024) was used for the bathymetry.
Classification
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Full name Filename Source Spatial extent Spatial resolution Temporal extent Temporal resolution Variables Projection Format Originating centre Last metadata update |
Arctic Ocean Net Primary Production L3B daily observations CCI-V6_PPZ_1D_DAILY_4KM_SIN_TAKUVIK_ARCTIC_DATE_ppv2.csv Satellite observations Arctic Ocean Lat 45° to 90°Lon -180° to 180° 4 km 1 Jan 2003 - 31 Dec 2023 Daily Net Primary Production (mgC.m-2.d-1) Sinusoidal CSV Takuvik International Research Laboratory (Quebec, Canada) January 2025 |
Output file
The Takuvik NPP model output is as a daily .csv file, on a sinusoidal equal-area grid projection, the same format of the input data OC-CCI L3bin data. To optimize the file size, the NPP file retains only the cells with a NPP documented record, the cells with “no data” (NA) were not included. The columns are separated by commas and contain the following variables: binindex, latitude, longitude and NPP in mgC.m-2.d-1 (integrated PP in the water column).
Organization
There are 21 zipped files, one per year for the period 2003-2023. Each .zip file contains 365 days of data in.csv format.
Name convention
CCI-V6_PPZ_1D_DAILY_4KM_SIN_TAKUVIK_ARCTIC_DATE_ppv2.csv
| Filename Components | Description |
| CCI-V6 | Source, satellite |
| PPZ | Primary production variable Z (integrated) |
| 1D | Composite data |
| DAILY | Length of time covered |
| 4KM | Spatial resolution |
| SIN | Projection type: Sinusoidal (SIN) |
| TAKUVIK | Processing Lab |
| ARCTIC | Study area |
| DATE | Date in format YYYYMMDD |
| NPP MODEL VERSION | ppv2 |
The naming convention for the zipped files is the same, but the filename component DATE is the year of the zipped daily files.
Regular grid
To get NPP files in a regular grid (the same number of records) including all the positions in the study area, the NPP outputs must be re-grided including the cells with NA, based on the file that contains the geospatial information of all positions in the study area CCI-V6_NPP_1D_DAILY_4KM_SIN_TAKUVIK_ARCTIC_ALLPIXELS_COORDINATES.csv
Files
CCI-V6_NPP_1D_DAILY_4KM_SIN_TAKUVIK_ARCTIC_2003_ppv2.zip
Files
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Additional details
Funding
- Canada Excellence Research Chairs
- Chair on Remote sensing of Canada’s new Arctic frontier
- Sentinelle Nord
- Institut National des Sciences de l'Univers
- Agence Nationale de la Recherche
- European Commission
- European Space Agency
- Canadian Space Agency
- Centre National d'Études Spatiales
- Natural Sciences and Engineering Research Council
- European Commission
- POMP - Polar Ocean Mitigation Potential 101136875
References
- Jakobsson, M., Mohammad, R., Karlsson, M. et al. The International Bathymetric Chart of the Arctic Ocean Version 5.0. Sci Data 11, 1420 (2024). https://doi.org/10.1038/s41597-024-04278-w
- Li, J., Matsuoka, A., Pang, X., Massicotte, P., & Babin, M. (2024). Performance of Algorithms for Retrieving Chlorophyll a Concentrations in the Arctic Ocean: Impact on Primary Production Estimates. Remote Sensing, 16(5), 892. https://doi.org/10.3390/rs16050892
- Maritorena, S.; Siegel, D.A.; Peterson, A.R. (2002). Optimization of a Semianalytical Ocean Color Model for Global-Scale Applications. Appl. Opt. 41, 2705-2714 (2002). https://doi.org/10.1364/AO.41.002705
- Platnick, S., et al. (2015). MODIS Atmosphere L3 Daily Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD08_D3.061
- Sathyendranath, S.; Jackson, T.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Clements, O.; Cipollini, P.; Danne, O.; Dingle, J.; Donlon, C.; Grant, M.; Groom, S.; Krasemann, H.; Lavender, S.; Mazeran, C.; Mélin, F.; Müller, D.; Steinmetz, F.; Valente, A.; Zühlke, M.; Feldman, G.; Franz, B.; Frouin, R.; Werdell, J.; Platt, T. (2023): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection at 4km resolution, Version 6.0. NERC EDS Centre for Environmental Data Analysis. https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0