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Volume 10, issue 4
Earth Syst. Sci. Data, 10, 2043-2054, 2018
https://doi.org/10.5194/essd-10-2043-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 2043-2054, 2018
https://doi.org/10.5194/essd-10-2043-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Nov 2018

15 Nov 2018

A 40-year global data set of visible-channel remote-sensing reflectances and coccolithophore bloom occurrence derived from the Advanced Very High Resolution Radiometer catalogue

Benjamin Roger Loveday and Timothy Smyth Benjamin Roger Loveday and Timothy Smyth
  • Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth, PL1 3DH, UK

Abstract. A consistently calibrated 40-year-long data set of visible-channel remote-sensing reflectance has been derived from the Advanced Very High Resolution Radiometer (AVHRR) sensor global time series. The data set uses as its source the Pathfinder Atmospheres – Extended (PATMOS-x) v5.3 Climate Data Record for top-of-atmosphere (TOA) visible-channel reflectances. This paper describes the theoretical basis for the atmospheric correction procedure and its subsequent implementation, including the necessary ancillary data files used and quality flags applied, in order to determine remote-sensing reflectance. The resulting data set is produced at daily, and archived at monthly, resolution, on a 0.1° × 0.1° grid at https://doi.org/10.1594/PANGAEA.892175. The primary aim of deriving this data set is to highlight regions of the global ocean affected by highly reflective blooms of the coccolithophorid Emiliania huxleyi (where lith concentration  > 2–5×104mL−1) over the past 40 years.

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A 40-year data set of ocean reflectance is derived from an atmospherically corrected climate quality record of top-of-atmosphere signals taken from the satellite-based AVHRR sensor. The data set provides a unique view of visible changes in the global ocean over timescales where climatic effects are demonstrable and spans coverage gaps left by more traditional satellite ocean colour sensors. It is particularly relevant to monitoring bright plankton blooms, such as coccolithophores.
A 40-year data set of ocean reflectance is derived from an atmospherically corrected climate...
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