Preprints
https://doi.org/10.5194/essd-2022-189
https://doi.org/10.5194/essd-2022-189
 
17 Jun 2022
17 Jun 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

The HYPERMAQ dataset

Héloïse Lavigne1, Ana Dogliotti2, David Doxaran3, Fang Shen4, Alexandre Castagna5, Matthew Beck1, Quinten Vanhellemont1, Xuerong Sun4, Juan Ignacio Gossn2,7, Renosh Pannimpullath3, Koen Sabbe5, Dieter Vansteenwegen6, and Kevin Ruddick1 Héloïse Lavigne et al.
  • 1Royal Belgian Institute of Natural Sciences, Brussels, Belgium
  • 2Instistuto de Astronomía y Física del Espacio (IAFE), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina
  • 3Laboratoire d’Océanographie de Villefranche, UMR7093 Sorbonne Université/CNRS, Villefranche-sur-Mer, France
  • 4State Key Laboratory of Estuarine and Coastal Research (SKLEC), East China Normal University, Shanghai, China
  • 5Laboratory of Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
  • 6Flanders Marine Institute (VLIZ), Ostend, Belgium
  • 7European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany

Abstract. 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),  https://doi.pangaea.de/10.1594/PANGAEA.944313.

Héloïse Lavigne et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-189', Anonymous Referee #1, 23 Jul 2022
    • AC1: 'Reply on RC1', LAVIGNE Héloïse, 22 Sep 2022
  • RC2: 'Comment on essd-2022-189', Giorgio Dall'Olmo, 03 Aug 2022
    • AC2: 'Reply on RC2', LAVIGNE Héloïse, 22 Sep 2022

Héloïse Lavigne et al.

Data sets

The HYPERMAQ dataset Lavigne, Héloise; Dogliotti, Ana I; Doxaran, David; Shen, Fang; Castagna, Alexandre; Beck, Matthew; Vanhellemont, Quinten; Sun, Xuerong; Gossn, Juan Ignacio; Pannimpullath, Renosh; Sabbe, Koen; Vansteenwegen, Dieter; Ruddick, Kevin https://doi.pangaea.de/10.1594/PANGAEA.944313

Héloïse Lavigne et al.

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Short summary
Because of the large diversity of case 2 waters and the complexity of light transfer, retrieving main biogeochemical parameters in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from low to extreme values, 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.