沿海大气与海洋时间序列（CoASTS）和海洋光学特性生物光学绘图（BiOMaP）：CoASTS-BiOMaP 数据集

IF 11.2 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Earth System Science Data Pub Date : 2024-06-26 DOI:10.5194/essd-2024-240

Giuseppe Zibordi, Jean-François Berthon

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引用次数: 0

摘要

摘要近二十年来，沿海大气与amp; 海洋时间序列（CoASTS）和海洋光学特性生物光学绘图（BiOMaP）计划提供了支持卫星海洋颜色应用的生物光学数据。具体而言，从 1995 年到 2016 年，CoASTS 依靠亚得里亚海北部的 Acqua Alta 海洋学塔（AAOT），提供了海水表观和固有光学特性的时间序列，以及主要光学重要水成分的浓度。几乎与此同时，从 2000 年到 2022 年，BiOMaP 对欧洲主要海域进行了等效的空间分布测量。CoASTS 和 BiOMaP 都采用了相同的标准化仪器、测量方法、质量控制方案和处理代码，以确保数据产品在时间和空间上的一致性。这项工作介绍了 CoASTS 和 BiOMaP 的近表面数据产品，命名为 CoASTS-BiOMaP，与海洋颜色生物光学建模和验证活动有关。

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Coastal Atmosphere & Sea Time Series (CoASTS) and Bio-Optical mapping of Marine optical Properties (BiOMaP): the CoASTS-BiOMaP dataset

Abstract. The Coastal Atmosphere & Sea Time Series (CoASTS) and the Bio-Optical mapping of Marine optical Properties (BiOMaP) programs produced bio-optical data supporting satellite ocean color applications for almost two decades. Specifically, relying on the Acqua Alta Oceanographic Tower (AAOT) in the northern Adriatic Sea, from 1995 till 2016 CoASTS delivered time series of marine water apparent and inherent optical properties, in addition to the concentration of major optically significant water constituents. Almost concurrently, from 2000 till 2022 BiOMaP produced equivalent spatially distributed measurements across major European Seas. Both, CoASTS and BiOMaP applied equal standardized instruments, measurement methods, quality control schemes and processing codes to ensure temporal and spatial consistency to data products. This work presents the CoASTS and BiOMaP near surface data products, named CoASTS-BiOMaP, of relevance for ocean color bio-optical modelling and validation activities.

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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.