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

IF 13.6 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Earth System Science Data Pub Date : 2022-11-08 DOI:10.5194/essd-14-4935-2022

H. Lavigne, A. Dogliotti, D. Doxaran, Fang Shen, A. Castagna, M. Beck, Q. Vanhellemont, Xuerong Sun, J. I. Gossn, P. R. Renosh, K. Sabbe, D. Vansteenwegen, K. Ruddick

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引用次数: 3

Abstract

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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HYPERMAQ数据集：中度至极度浑浊水域的生物光学特性

摘要由于案例2水域的多样性很大，从极度吸收到极度散射，以及外部陆地输入导致的光传输的复杂性，检索这些水域中的主要生物地球化学参数，如叶绿素a或悬浮颗粒物质浓度仍然具有挑战性。通过为180个浊度和叶绿素a浓度在1至700之间的采样站提供光学和生物地球化学参数 FNU和0.9至180 毫克 HYPERMAQ数据集将有助于更好地描述光学复杂水体中的海洋光学，并有助于科学界开发算法。HYPERMAQ数据集提供了六个不同研究区域的生物地球化学参数（即浊度、色素和叶绿素a浓度、悬浮颗粒物）、表观光学特性（即水上测量的水反射率）和固有光学特性（如吸收和衰减系数）。这些研究区域包括大型河口（即阿根廷的拉普拉塔河、中国的长江口和法国的吉伦特河口）、内陆（即比利时的斯普伊科姆和阿根廷的查斯科姆湖）和沿海水域（比利时）。数据集可从Lavigne等人获得。（2022）https://doi.org/10.1594/PANGAEA.944313.

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来源期刊

Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

18.00

自引率

5.30%

发文量

231

审稿时长

35 weeks

期刊介绍： Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.