Document of bibliographic reference 359394

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters
Abstract
Because of the large diversity of case 2 waters rangingfrom extremely absorbing to extremely scattering waters and the complexityof light transfer due to external terrestrial inputs, retrieving mainbiogeochemical parameters such as chlorophyll-a or suspended particulatematter concentration in these waters is still challenging. By providingoptical and biogeochemical parameters for 180 sampling stations withturbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from0.9 to 180 mg m−3 respectively, the HYPERMAQ dataset will contribute toa better description of marine optics in optically complex water bodies andcan 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 opticalproperties (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 andChascomùs lake in Argentina), and coastal waters (Belgium). The dataset isavailable from Lavigne et al. (2022) at https://doi.org/10.1594/PANGAEA.944313.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000879812600001
Bibliographic citation
Lavigne, H.; Dogliotti, A.; Doxaran, D.; Shen, F.; Castagna, A.; Beck, M.; Vanhellemont, Q.; Sun, X.; Gossn, J.I.; Renosh, P.R.; Sabbe, K.; Vansteenwegen, D.; Ruddick, K. (2022). The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters. ESSD 14(11): 4935-4947. https://dx.doi.org/10.5194/essd-14-4935-2022
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Héloise Lavigne
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen
author
Name
Ana Dogliotti
author
Name
David Doxaran
author
Name
Fang Shen
author
Name
Alexandre Castagna
Identifier
https://orcid.org/0000-0002-6069-1574
Affiliation
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Laboratorium voor Protistologie en Aquatische Ecologie
author
Name
Matthew Beck
Identifier
https://orcid.org/0000-0003-2847-8826
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen; Operationele Directie Natuurlijk Milieu
author
Name
Quinten Vanhellemont
Identifier
https://orcid.org/0000-0001-9195-6347
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen
author
Name
Xuerong Sun
author
Name
Juan Ignacio Gossn
author
Name
Pannimpullath Remanan Renosh
author
Name
Koen Sabbe
Identifier
https://orcid.org/0000-0001-5163-5581
Affiliation
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Laboratorium voor Protistologie en Aquatische Ecologie
author
Name
Dieter Vansteenwegen
Identifier
https://orcid.org/0000-0001-7085-4173
Affiliation
Vlaams Instituut voor de Zee
author
Name
Kevin Ruddick
Affiliation
Koninklijk Belgisch Instituut voor Natuurwetenschappen

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.5194/essd-14-4935-2022

Document metadata

date created
2022-11-21
date modified
2022-12-01