The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Oui |
| Statut de publication | : | Publié |
| Année de publication | : | 2022 |
| Auteurs (13) | : | LAVIGNE Héloïse DOGLIOTTI A DOXARAN David SHEN F CASTAGNA A BECK Matthew VANHELLEMONT Quinten SUN X GOSSN Juan,ignacio PANNIMPULLATH REMANAN Renosh SABBE K VANSTEENWEGEN Dieter RUDDICK Kevin |
| Revue scientifique | : | Earth System Science Data |
| Volume | : | 14 |
| Fascicule | : | 11 |
| Pages | : | |
| DOI | : | 10.5194/essd-14-4935-2022 |
| URL | : | https://essd.copernicus.org/articles/14/4935/2022/ |
| 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) at https://doi.org/10.1594/PANGAEA.944313. |
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| Commentaire | : | - |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Lavigne H, Dogliotti A, Doxaran D, Shen F, Castagna A, Beck M, Vanhellemont Q, Sun X, Gossn JI, Pannimpullath Remanan R, Sabbe K, Vansteenwegen D, Ruddick K (2022) The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters. Earth Syst Sci Data 14 | doi: 10.5194/essd-14-4935-2022
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