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The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters

  • Héloïse Lavigne
  • , Ana Dogliotti
  • , David Doxaran
  • , Fang Shen
  • , Alexandre Castagna
  • , Matthew Beck
  • , Quinten Vanhellemont
  • , Xuerong Sun
  • , Juan Ignacio Gossn
  • , Pannimpullath Remanan Renosh
  • , Koen Sabbe
  • , Dieter Vansteenwegen
  • , Kevin Ruddick
  • Royal Belgian Institute of Natural Sciences
  • Universidad de Buenos Aires
  • CNRS
  • Ghent University
  • East China Normal University
  • European Organization for the Exploitation of Meteorological Satellites
  • Flanders Marine Institute (VLIZ)

科研成果: 期刊稿件文章同行评审

摘要

Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from 0.9 to 180 mg m-3 respectively, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms. The HYPERMAQ dataset provides biogeochemical parameters (i.e. turbidity, pigment and chlorophyll-a concentration, suspended particulate matter), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze estuary in China, and the Gironde estuary in France), inland (i.e. the Spuikom in Belgium and Chascomùs lake in Argentina), and coastal waters (Belgium). The dataset is available from Lavigne et al. (2022) at 10.1594/PANGAEA.944313.

源语言英语
页(从-至)4935-4947
页数13
期刊Earth System Science Data
14
11
DOI
出版状态已出版 - 8 11月 2022

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 14 - 水下生物
    可持续发展目标 14 水下生物

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