Literature DB >> 24804626

From silk to satellite: half a century of ocean colour anomalies in the Northeast Atlantic.

Dionysios E Raitsos1, Yaswant Pradhan, Samantha J Lavender, Ibrahim Hoteit, Abigail McQuatters-Gollop, Phillip C Reid, Anthony J Richardson.   

Abstract

Changes in phytoplankton dynamics influence marine biogeochemical cycles, climate processes, and food webs, with substantial social and economic consequences. Large-scale estimation of phytoplankton biomass was possible via ocean colour measurements from two remote sensing satellites - the Coastal Zone Colour Scanner (CZCS, 1979-1986) and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS, 1998-2010). Due to the large gap between the two satellite eras and differences in sensor characteristics, comparison of the absolute values retrieved from the two instruments remains challenging. Using a unique in situ ocean colour dataset that spans more than half a century, the two satellite-derived chlorophyll-a (Chl-a) eras are linked to assess concurrent changes in phytoplankton variability and bloom timing over the Northeast Atlantic Ocean and North Sea. Results from this unique re-analysis reflect a clear increasing pattern of Chl-a, a merging of the two seasonal phytoplankton blooms producing a longer growing season and higher seasonal biomass, since the mid-1980s. The broader climate plays a key role in Chl-a variability as the ocean colour anomalies parallel the oscillations of the Northern Hemisphere Temperature (NHT) since 1948.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  Northeast Atlantic; chlorophyll; northern hemisphere temperature; ocean colour; phytoplankton variability

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Year:  2014        PMID: 24804626     DOI: 10.1111/gcb.12457

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  1 in total

1.  Global trends in ocean phytoplankton: a new assessment using revised ocean colour data.

Authors:  Watson W Gregg; Cécile S Rousseaux; Bryan A Franz
Journal:  Remote Sens Lett       Date:  2017-07-24       Impact factor: 2.583

  1 in total

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