The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters,Earth System Science Data

当前位置： X-MOL 学术 › Earth Syst. Sci. Data › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters
Earth System Science Data ( IF 11.2 ) Pub Date : 2022-11-08 , DOI: 10.5194/essd-14-4935-2022
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

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.

更新日期：2022-11-08

点击分享查看原文

点击收藏

公开下载

阅读更多本刊最新论文