Retrieval of coccolithophore calcite concentration from SeaWiFS Imagery

Gordon, Howard R.; Boynton, G. Chris; Balch, William M.; Groom, SB; Harbour, Derek; Smyth, Tim

doi:10.1029/2000gl012025

Cited by 129 publications

(111 citation statements)

References 18 publications

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“…However, the satellite-derived PIC concentration displays a clear seasonal signal tightly coupled to the coccolith fine fraction export. This result suggests that the algorithm used to derive coccolithophore presence from satellite data (Gordon et al, 2001;Balch et al, 2005) is sensitive, if not quantitative, over the central Kerguelen Plateau.…”

Section: Seasonality and Magnitude Of The Coccolith Fine Fraction Exportmentioning

confidence: 81%

Planktic foraminifer and coccolith contribution to carbonate export fluxes over the central Kerguelen Plateau

Rembauville

Meilland

Ziveri

et al. 2016

Deep Sea Research Part I: Oceanographic Research Papers

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a b s t r a c tWe report the contribution of planktic foraminifers and coccoliths to the particulate inorganic carbon (PIC) export fluxes collected over an annual cycle (October 2011/September 2012) on the central Kerguelen Plateau in the Antarctic Zone (AAZ) south of the Polar Front (PF). The seasonality of PIC flux was decoupled from surface chlorophyll a concentration and particulate organic carbon (POC) fluxes and was characterized by a late summer (February) maximum. This peak was concomitant with the highest satellite-derived sea surface PIC and corresponded to a Emiliania huxleyi coccoliths export event that accounted for 85% of the annual PIC export. The foraminifer contribution to the annual PIC flux was much lower (15%) and dominated by Turborotalita quinqueloba and Neogloboquadrina pachyderma. Foraminifer export fluxes were closely related to the surface chlorophyll a concentration, suggesting food availability as an important factor regulating the foraminifer's biomass. We compared size-normalized test weight (SNW) of the foraminifers with previously published SNW from the Crozet Islands using the same methodology and found no significant difference in SNW between sites for a given species. However, the SNW was significantly species-specific with a threefold increase from T. quinqueloba to Globigerina bulloides. The annual PIC:POC molar ratio of 0.07 was close to the mean ratio for the global ocean and lead to a low carbonate counter pump effect ( $ 5%) compared to a previous study north of the PF (6-32%). We suggest that lowers counter pump effect south of the PF despite similar productivity levels is due to a dominance of coccoliths in the PIC fluxes and a difference in the foraminifers species assemblage with a predominance of polar species with lower SNW.

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Section: Seasonality and Magnitude Of The Coccolith Fine Fraction Exportmentioning

confidence: 81%

Planktic foraminifer and coccolith contribution to carbonate export fluxes over the central Kerguelen Plateau

Rembauville

Meilland

Ziveri

et al. 2016

Deep Sea Research Part I: Oceanographic Research Papers

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“…OC4v4 by O'Reilly et al, 1998) and semianalytical algorithms (Carder et al, 2004) have been developed, relying on water-leaving radiance detected by satellite sensors at two to five specific wavelength bands. However, due to the phytoplankton biodiversity and differences in the optical properties of phytoplankton groups, remote identification of different phytoplankton functional types (PFTs; see summary by Nair et al, 2008) with improved algorithms and new retrieval methods has recently been in the focus of research (Ackleson et al, 1994;Brown and Yoder, 1994a;Tyrrell et al, 1999;Gordon et al, 2001;Subramaniam et al, 2002;Sathyendranath et al, 2004;Alvain et al, 2005). The development of PFT-based retrieval methods will also improve the estimates of the total phytoplankton biomass and deepen the understanding of the oceanic biogeochemical cycles.…”

Section: Background Of the Retrieval Methodsmentioning

confidence: 99%

“…Therefore, the above specific capabilities of the method are investigated by this study. More specifically, concerning coccolithophore retrieval, while other phytoplankton pigments cause a decrease in backscatter radiance mostly in the blue part (and slightly in the green), coccolithophores, due to their calcite plates, affect the solar irradiance uniformly in both the blue and the green (Gordon et al, 1988). Furthermore, as coccolithophore blooms cause flattening of the reflectance spectrum, the standard ratio pigment algorithms (Gordon and Morel, 1983) will not provide correct pigment retrievals within the blooms (Balch et al, 1989;Balch, 2004), whereas, by retrieving the differential absorption features, the PhytoDOAS method has the potential to obtain results on PFT chl a in high coccolithophore regions, when hyperspectral variations are still visible.…”

Section: Objectivesmentioning

confidence: 99%

“…Hence, monitoring coccolithophore blooms can also improve our understanding of the global distribution of diatoms. Some former studies aimed to exploit and develop remote sensing methods for monitoring the distribution of coccolithophores on a global scale (Groom and Holligan, 1987;Brown and Yoder, 1994a;Brown, 1995;Gordon et al, 2001), as well as studying corresponding blooms on regional scales (Balch et al, 1991;Holligan et al, 1993;Brown and Yoder, 1994b;Brown and Podesta, 1997;Smyth, 2004;Morozov et al, 2010).…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

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Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data

et al. 2012

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Abstract. In this study temporal variations of coccolithophore blooms are investigated using satellite data. Eight years (from 2003 to 2010) of data of SCIAMACHY, a hyperspectral satellite sensor on-board ENVISAT, were processed by the PhytoDOAS method to monitor the biomass of coccolithophores in three selected regions. These regions are characterized by frequent occurrence of large coccolithophore blooms. The retrieval results, shown as monthly mean time series, were compared to related satellite products, including the total surface phytoplankton, i.e. total chlorophyll a (from GlobColour merged data) and the particulate inorganic carbon (from MODIS-Aqua). The inter-annual variations of the phytoplankton bloom cycles and their maximum monthly mean values have been compared in the three selected regions to the variations of the geophysical parameters: sea-surface temperature (SST), mixed-layer depth (MLD) and surface wind-speed, which are known to affect phytoplankton dynamics. For each region, the anomalies and linear trends of the monitored parameters over the period of this study have been computed. The patterns of total phytoplankton biomass and specific dynamics of coccolithophore chlorophyll a in the selected regions are discussed in relation to other studies. The PhytoDOAS results are consistent with the two other ocean color products and support the reported dependencies of coccolithophore biomass dynamics on the compared geophysical variables. This suggests that PhytoDOAS is a valid method for retrieving coccolithophore biomass and for monitoring its bloom developments in the global oceans. Future applications of time series studies using the PhytoDOAS data set are proposed, also using the new upcoming generations of hyper-spectral satellite sensors with improved spatial resolution.

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“…The blooms are easily observed in the pseudo-true-colour images from satellites and can be monitored using ocean colour (Brown and Yoder 1994). Algorithms have been elaborated to quantitatively retrieve PIC at regional and global scales (Gordon et al 2001;Balch et al 2005) and the most recent have been used to process the whole SeaWiFS and MODIS data set. An important constraint of these algorithms is that, at typical non-bloom concentrations, the PIC scattering represents only a few percent of the total scattering.…”

Section: Marine Carbon Observations Frommentioning

confidence: 99%

Ocean-Atmosphere Interactions of Gases and Particles

2014

Springer Earth System Sciences

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Why a chapter on Perspectives and Integration in SOLAS Science in this book? SOLAS science by its nature deals with interactions that occur: across a wide spectrum of time and space scales, involve gases and particles, between the ocean and the atmosphere, across many disciplines including chemistry, biology, optics, physics, mathematics, computing, socio-economics and consequently interactions between many different scientists and across scientific generations. This chapter provides a guide through the remarkable diversity of cross-cutting approaches and tools in the gigantic puzzle of the SOLAS realm.Here we overview the existing prime components of atmospheric and oceanic observing systems, with the acquisition of ocean-atmosphere observables either from in situ or from satellites, the rich hierarchy of models to test our knowledge of Earth System functioning, and the tremendous efforts accomplished over the last decade within the COST Action 735 and SOLAS Integration project frameworks to understand, as best we can, the current physical and biogeochemical state of the atmosphere and ocean commons. A few SOLAS integrative studies illustrate the full meaning of interactions, paving the way for even tighter connections between thematic fields. Ultimately, SOLAS research will also develop with an enhanced consideration of societal demand while preserving fundamental research coherency.

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Retrieval of coccolithophore calcite concentration from SeaWiFS Imagery

Cited by 129 publications

References 18 publications

Planktic foraminifer and coccolith contribution to carbonate export fluxes over the central Kerguelen Plateau

Planktic foraminifer and coccolith contribution to carbonate export fluxes over the central Kerguelen Plateau

Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data

Ocean-Atmosphere Interactions of Gases and Particles

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