S
Shubha Sathyendranath
Researcher at Plymouth Marine Laboratory
Publications - 263
Citations - 20653
Shubha Sathyendranath is an academic researcher from Plymouth Marine Laboratory. The author has contributed to research in topics: Phytoplankton & SeaWiFS. The author has an hindex of 64, co-authored 246 publications receiving 18141 citations. Previous affiliations of Shubha Sathyendranath include Dalhousie University & National Institute of Oceanography, India.
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Journal ArticleDOI
The Sorcerer II Global Ocean Sampling Expedition: Northwest Atlantic through Eastern Tropical Pacific
Douglas B. Rusch,Aaron L. Halpern,Granger G. Sutton,Karla B. Heidelberg,Karla B. Heidelberg,Shannon J. Williamson,Shibu Yooseph,Dongying Wu,Dongying Wu,Jonathan A. Eisen,Jonathan A. Eisen,Jeff Hoffman,Karin A. Remington,Karen Beeson,Bao Duc Tran,Hamilton O. Smith,Holly Baden-Tillson,Clare Stewart,Joyce Thorpe,Jason Freeman,Cynthia Andrews-Pfannkoch,Joseph E. Venter,Kelvin Li,Saul A. Kravitz,John F. Heidelberg,John F. Heidelberg,T. Utterback,Yu-Hui Rogers,Luisa I. Falcón,Valeria Souza,Germán Bonilla-Rosso,Luis E. Eguiarte,David M. Karl,Shubha Sathyendranath,Trevor Platt,Eldredge Bermingham,Victor A. Gallardo,Giselle Tamayo-Castillo,Michael Ferrari,Robert L. Strausberg,Kenneth H. Nealson,Kenneth H. Nealson,Robert Friedman,Marvin Frazier,J. Craig Venter +44 more
TL;DR: A metagenomic study of the marine planktonic microbiota in which surface (mostly marine) water samples were analyzed as part of the Sorcerer II Global Ocean Sampling expedition, which yielded an extensive dataset consisting of 7.7 million sequencing reads.
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An estimate of global primary production in the ocean from satellite radiometer data
TL;DR: In this paper, an estimate of global net primary production in the ocean has been computed from the monthly mean near-surface chlorophyll fields for 1979-1986 obtained by the Nimbus 7 CZCS radiometer.
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An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials1
TL;DR: Results show that, though the spectral form of absorption by pigments can be considered as more or less invariant, the absorption “efficiency” per unit C depends on the nature of the water, and hence on the type of phytoplankton population considered.
Journal ArticleDOI
Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models
Corinne Le Quéré,Sandy P. Harrison,Sandy P. Harrison,I. Colin Prentice,I. Colin Prentice,Erik T. Buitenhuis,Olivier Aumont,Laurent Bopp,Hervé Claustre,Leticia Cotrim da Cunha,Richard J. Geider,Xavier Giraud,Christine Klaas,Christine Klaas,Karen E. Kohfeld,Louis Legendre,M. Manizza,M. Manizza,Trevor Platt,Richard B. Rivkin,Shubha Sathyendranath,Julia Uitz,Andrew J. Watson,Dieter Wolf-Gladrow +23 more
TL;DR: The Dynamic Green Ocean Model (DGOM) as mentioned in this paper is based on the identification of key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean, and sources of information necessary to parameterize each of these processes within a modeling framework.
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Oceanic Primary Production: Estimation by Remote Sensing at Local and Regional Scales
TL;DR: An algorithm is proposed that combines a spectral and angular model of submarine light with a model of the spectral response of algal photosynthesis to apply at large horizontal scale and a dynamic biogeography is needed for the physiological rate parameters and the biological structure of the water column.