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

Dionysios E. Raitsos*, Yaswant Pradhan, Samantha J. Lavender, Ibrahim Hoteit, Abigail Mcquatters-Gollop, Phillip C. Reid, Anthony J. Richardson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)2117-2123
Number of pages0
JournalGlob Chang Biol
Volume20
Issue number7
Early online date23 Apr 2014
DOIs
Publication statusPublished - Jul 2014

Keywords

  • Northeast Atlantic
  • chlorophyll
  • northern hemisphere temperature
  • ocean colour
  • phytoplankton variability
  • Atlantic Ocean
  • Chlorophyll
  • Climate Change
  • Color
  • Eutrophication
  • North Sea
  • Phytoplankton
  • Remote Sensing Technology
  • Seasons
  • Spacecraft
  • Time Factors

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