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A compilation of global bio-optical in situ data for ocean-colour satellite app...

Valente, André; Sathyendranath, Shubha; Brotas, Vanda; Groom, Steve; Grant, Michael; Taberner, Malcolm; Antoine, David; Arnone, Robert

A global compilation of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (including, inter alia, MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT and GeP&CO) and span t...


Patterns and drivers of phytoplankton phenology off SW Iberia: a phenoregion ba...

Krug, Lilian; Platt, Trevor; Sathyendranath, Shubha; Barbosa, Ana B.

Phytoplankton patterns, tightly linked to the dynamics of the ocean surface layer and its atmospheric forcing, have major impacts on ecosystem functioning and are valuable indicators of its response to environmental variability and change. Phytoplankton phenology and its underlying drivers are spatially variable, and the study of its patterns, particularly over heterogeneous regions, benefits from a delineation...


Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups

Brewin, Robert J. W.; Ciavatta, Stefano; Sathyendranath, Shubha; Jackson, Thomas; Tilstone, Gavin; Curran, Kieran; Airs, Ruth L.; Cummings, Denise

Over the past decade, techniques have been presented to derive the community structure of phytoplankton at synoptic scales using satellite ocean-color data. There is a growing demand from the ecosystem modeling community to use these products for model evaluation and data assimilation. Yet, from the perspective of an ecosystem modeler these products are of limited use unless: (i) the phytoplankton products prov...


Inter-comparison of OC-CCI chlorophyll-a estimates with precursor data sets

Belo Couto, André; Brotas, Vanda; Mélin, Frédéric; Groom, Steve; Sathyendranath, Shubha

Ocean colour is the only essential climate variable that targets a biological variable (chlorophyll-a concentration (chl-a)) and is also amenable to remote sensing at the global scale. However, the finite lifetime of individual ocean-colour sensors, and the differences in their characteristics increase the difficulty of creating a long-term, consistent, ocean-colour time series that meets the requirements of cl...


A compilation of global bio-optical in situ data for ocean-colour satellite app...

Valente, Andre; Sathyendranath, Shubha; Brotas, Vanda; Groom, Steve; Grant, Michael; Taberner, Malcolm; Antoine, David; Arnone, Robert

A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data records. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT, GeP&CO), span between 1997 and 2012, and have a...


Effect of phytoplankton size classes on bio-optical properties of phytoplankton...

Brito, Ana C.; Sá, Carolina; Brotas, Vanda; Brewin, Robert J.W.; Silva, Teresa; Vitorino, João; Platt, Trevor; Sathyendranath, Shubha

Chlorophyll-a satellite products are routinely used in oceanography, providing a synoptic and global view of phytoplankton abundance. However, these products lack information on the community structure of the phytoplankton, which is crucial for ecological modelling and ecosystem studies. To assess the usefulness of existing methods to differentiate phytoplankton functional types (PFT) or phytoplankton size clas...


Influence of light in the mixed-layer on the parameters of a three-component mo...

Brewin, Robert J.W.; Sathyendranath, Shubha; Jackson, Thomas; Barlow, Ray; Brotas, Vanda; Airs, Ruth; Lamont, Tarron

Phytoplankton size structure is an important indicator of the state of the pelagic ecosystem. Stimulated by the paucity of in situ observations on size structure, and by the sampling advantages of autonomous remote platforms, new efforts are being made to infer the size-structure of the phytoplankton from oceanographic variables that may be measured at high temporal and spatial resolution, such as total chlorop...


Deriving phytoplankton size classes from satellite data: validation along a tro...

Brotas, Vanda; Brewin, Robert J.W.; Sá, Carolina; Brito, Ana C.; Silva, Alexandra; Mendes, Carlos Rafael; Diniz, Tânia; Kaufmann, Manfred; Tarran, Glen

In recent years, the global distribution of phytoplankton functional types (PFT) and phytoplankton size classes (PSC) has been determined by remote sensing. Many of these methods rely on interpretation of phytoplankton size or type from pigment data, but independent validation has been difficult due to lack of appropriate in situ data on cell size. This work uses in situ data (photosynthetic pigments concentrat...


Connections between upwelling patterns and phytoplankton variability under diff...

Krug, Lilian; Silvano, Kathleen M.; Barbosa, Ana B.; Domingues, Rita B.; Galvão, Helena M.; Luis, Joaquim; Platt, Trevor; Relvas, Paulo

The region off southwestern Iberia (NE Atlantic) encompasses a wide variety of oceanographic regimes, including differently (geographic) oriented coastal areas impacted by upwelling, riverine inputs and submarine groundwater discharge, submarine canyons and seamounts, and open ocean waters, thereby potentially promoting zone-specific phytoplankton dynamics. Overall, this heterogeneous region is classified as be...


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