Losa, Svetlana N; Soppa, Mariana A; Dinter, Tilman; Wolanin, Aleksandra; Oelker, Julia; Bracher, Astrid (2017): Global chlorophyll a surface concentrations for diatoms, coccolithophores and cyanobacteria as the synergistic SynSenPFT product combined PhytoDOAS and OC-PFT for the period of time August 2002 - April 2012, links to NetCDF files [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.875873, In supplement to: Losa, Svetlana N; Soppa, Mariana A; Dinter, Tilman; Wolanin, Aleksandra; Brewin, Robert J W; Bricaud, Annick; Oelker, Julia; Peeken, Ilka; Gentili, Bernard; Rozanov, Vladimir V; Bracher, Astrid (2017): Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT). Frontiers in Marine Science, 4(203), 22 pp, https://doi.org/10.3389/fmars.2017.00203
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
The SynSenPFT product is presented as chlorophyll "a" concentrations (Chla) for diatoms, coccolithophores and cyanobacteria (some of the phytoplankton functional types, PFT) obtained globally over the World Ocean on a 4 km sinusoidal grid on a daily basis over the period of August 2002 - March 2012. The SynSenPFT is a synergistic combination of the PFT products of initial-input OC-PFT (Hirata et al., 2011, Soppa et al., 2014) applied to
total chlorophyll "a" (TChla) data of Ocean Colour Climate Change Initiative (OC-CCI, Version 2, ESA) and PhytoDOAS (Bracher et al., 2009, Sadeghi et al., 2012) version 3.3 available at doi:10.1594/PANGAEA.870486 with an optimal interpolation (OI). The OI method is applied to OC-PFT and PhytoDOAS Chla products of diatoms, cyanobacteria (called prokarytoes by the OC-PFT method) and haptophytes (for OC-PFT) and coccolithophores (for PhytoDOAS). Note that OC-PFT retrieves haptophytes while PhytoDOAS retrieves coccolithophores, a (often dominating) sub-group of haptophytes. Algorithmically, the SynSenPFT is an update of OC-PFT Chla with PhytoDOAS Chla values weighted in accordance to our degree of belief to both initial-input data products. Within the current version of SynSenPFT algorithm the update is done for every sub-pixel of OC-PFT within a PhytoDOAS pixel. Thus, SynSenPFT in every OC-PFT sub-pixel on average is nudged towards PhytoDOAS values as close as allowed by the prescribed PhytoDOAS and OC-PFT error statistics.
Related to:
Bracher, Astrid; Vountas, Marco; Dinter, Tilman; Burrows, John Philipp; Röttgers, Rüdiger; Peeken, Ilka (2009): Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data. Biogeosciences, 6(5), 751-764, https://doi.org/10.5194/bg-6-751-2009
Dinter, Tilman; Rozanov, Vladimir V; Burrows, John Philipp; Bracher, Astrid (2015): Retrieving the availability of light in the ocean utilising spectral signatures of vibrational Raman scattering in hyper-spectral satellite measurements. Ocean Science, 11(3), 373-389, https://doi.org/10.5194/os-11-373-2015
European Space Agency: Ocean Colour Climate Change Initiative (OC-CCI) dataset Version 2. https://climate.esa.int/en/projects/ocean-colour/
Hirata, Takafumi; Hardman-Mountford, Nicolas J; Brewin, Robert J W; Aiken, James; Barlow, Raymond G; Suzuki, Koji; Isada, Tomonori; Howell, Evan; Hashioka, Taketo; Noguchi-Aita, Maki; Yamanaka, Yasuhiro (2011): Synoptic relationships between surface Chlorophyll-a and diagnostic pigments specific to phytoplankton functional types. Biogeosciences, 8(2), 311-327, https://doi.org/10.5194/bg-8-311-2011
Sadeghi, Alireza; Dinter, Tilman; Vountas, Marco; Taylor, Bettina B; Soppa, Mariana A; Peeken, Ilka; Bracher, Astrid (2012): Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data. Ocean Science, 8(6), 1055-1070, https://doi.org/10.5194/os-8-1055-2012
Soppa, Mariana A; Hirata, Takafumi; Silva, Brenner; Dinter, Tilman; Peeken, Ilka; Wiegmann, Sonja; Bracher, Astrid (2014): Global retrieval of diatom abundance based on phytoplankton pigments and satellite data. Remote Sensing, 6(10), 10089-10106, https://doi.org/10.3390/rs61010089
Further details:
Project(s):
Arctic Amplification (AC3)
Funding:
German Research Foundation (DFG), grant/award no. 268020496: TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms
Coverage:
Date/Time Start: 2002-08-01T00:00:00 * Date/Time End: 2012-03-31T00:00:00
Comment:
File names: syn_glb_level3_ YYYYMMDD.nc (organized in a similar to OC-CCI way given the 4 km sinusoidal grid) Variables:- diatom_concentration [mg Chl a/m**3]- coccolithophores_concentration [mg Chl a/m**3]- cyanobacteria_concentration [mg Chl a/m**3]
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Losa, Svetlana N | Geocode | ||
| 2 | File name | File name | Losa, Svetlana N | |||
| 3 | Uniform resource locator/link to file | URL file | Losa, Svetlana N | NetCDF, file size: 453 MB |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
7030 data points
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