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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. PANGAEA,, 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,

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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 Philip; Röttgers, Rüdiger; Peeken, Ilka (2009): Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data. Biogeosciences, 6(5), 751-764,
Dinter, Tilman; Rozanov, Vladimir V; Burrows, John Philip; 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,
European Space Agency: Ocean Colour Climate Change Initiative (OC-CCI) dataset Version 2.
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,
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,
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,
Date/Time Start: 2002-08-01T00:00:00 * Date/Time End: 2012-03-31T00:00:00
File names: syn_glb_level3_ (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]
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeLosa, Svetlana NGeocode
2File nameFile nameLosa, Svetlana N
3Uniform resource locator/link to fileURL fileLosa, Svetlana NNetCDF, file size: 453 MB
7030 data points

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