Dataset
Theme 2 Sub Theme 6: Global Phytoplankton Size Class (PSC) Monthly (Composites) Climatology (1997-2007) from Plymouth Marine Laboratory using SeaWiFS satellite
Abstract
This dataset contains the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) in monthly averages over the globe for the period 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data (The dataset was produced by the Plymouth Marine Laboratory by applying the algorithm of Brewin et al. (2010) directly to monthly SeaWiFS Level 3 composites of chlorophyll on a pixel-by-pixel basis.). A 10 year monthly climatology is also available as a separate dataset. Accompanying maps are available. This dataset was produced as part of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6).
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
http://badc.nerc.ac.uk/view/neodc.nerc.ac.uk__ATOM__ACTIVITY_01ed49c8-f1e3-11e1-be24-00163e251233
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| 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 prepared by authors and sent to NERC Earth Observations Data Centre (NEODC) for archiving. Data files are checked for CF conventions compliance. Filenames follow the BADC/NEODC filename convention. |
| File Format: |
Data are netCDF formatted. Images are PNG formatted.
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Process overview
| Title | Global Phytoplankton Size Class (PSC) Monthly (Composites) Climatology from Plymouth Marine Laboratory using SeaWiFS satellite |
| Abstract | A three-component model was developed which calculates the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) to the overall chlorophyll-a concentration in the Atlantic Ocean. The model is an extension of the Sathyendranath et al. (2001) approach, based on the assumption that small cells dominate at low chlorophyll-a concentrations and large cells at high chlorophyll-a concentrations. Diagnostic pigments were used to infer cell size using an established technique adapted to account for small picoeukaroytes in ultra-oligotrophic environments. Atlantic Meridional Transect (AMT) pigment data taken between 1997 and 2004 were split into two datasets; 1935 measurements were used to parameterise the model, and a further 241 surface measurements, spatially and temporally matched to chlorophyll-a derived from SeaWiFS satellite data, were set aside to validate the model. Comparison with an independent global pigment dataset (256 measurements) also supports the broader-scale application of the model. The effect of optical depth on the model parameters was also investigated and explicitly incorporated into the model. It is envisaged that future applications would include validating multi-plankton biogeochemical models and improving primary-production estimates by accounting for community composition. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: %
- long_name: Microphytoplankton_percent_Tchl
- var_id: Micro_percent_Tchl
- units: %
- long_name: Nanophytoplankton_percent_Tchl
- var_id: Nano_percent_Tchl
- units: %
- long_name: Picophytoplankton_percent_Tchl
- var_id: Pico_percent_Tchl
- units: mg/m^3
- long_name: Tchl
- standard_name: chlorophyll_concentration_in_sea_water
- var_id: Tchl
Co-ordinate Variables
- standard_name: latitude
- var_id: latitude
- units: degrees_east
- long_name: latitude
- units: degrees_east
- standard_name: longitude
- var_id: longitude
- long_name: longitude
Temporal Range
1997-01-01T00:00:00
1997-12-31T00:00:00
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
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-90.0000° |