Abstract. A global in-situ data set for validation of ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI) is presented. This version of the compilation, starting in 1997, now extends to 2021, which is important for the validation of the most recent satellite optical sensors such as Sentinel 3B OLCI and NOAA-20 VIIRS. The data set comprises in-situ observations of the following variables: spectral remote-sensing reflectance, concentration of chlorophyll-a, spectral inherent optical properties, spectral diffuse attenuation coefficient and total suspended matter. Data were obtained from multi-project archives acquired via open internet services, or from individual projects, acquired directly from data providers. Methodologies were implemented for homogenisation, quality control and merging of all data. Minimal changes were made on the original data, other than conversion to a standard format, elimination of some points after quality control and averaging of observations that were close in time and space. The result is a merged table available in text format. Overall, the size of the data set grew with 151,673 rows, with each row representing a unique station in space and time (cf 136,250 rows in previous version; Valente et al., 2019). Observations of remote-sensing reflectance increased to 68,641 (cf 59,781 in previous version; Valente et al., 2019). There was also a near tenfold increase in chlorophyll data since 2016. Metadata of each in situ measurement (original source, cruise or experiment, principal investigator) are included in the final table. By making the metadata available, provenance is better documented, and it is also possible to analyse each set of data separately. The compiled data are available at https://doi.pangaea.de/10.1594/PANGAEA.941318 (Valente et al., 2022).

中文翻译：

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海洋彩色卫星应用的全球生物光学原位数据汇编——第三版

摘要。提供了用于验证来自 ESA 海洋颜色气候变化倡议 (OC-CCI) 的海洋颜色产品的全球原位数据集。这个版本的编译从 1997 年开始，现在延伸到 2021 年，这对于验证最新的卫星光学传感器（如 Sentinel 3B OLCI 和 NOAA-20 VIIRS）非常重要。该数据集包括对以下变量的现场观测：光谱遥感反射率、叶绿素-a 浓度、光谱固有光学特性、光谱漫衰减系数和总悬浮物。数据来自通过开放互联网服务获取的多项目档案，或从直接从数据提供商处获取的单个项目。实施方法用于所有数据的均质化、质量控制和合并。除了转换为标准格式、在质量控制后消除一些点以及对时间和空间上接近的观测值进行平均之外，对原始数据进行了最小的更改。结果是一个以文本格式提供的合并表。总体而言，数据集的大小增加了 151,673 行，每行代表一个独特的空间和时间站点（参见之前版本的 136,250 行；Valente 等人，2019）。遥感反射率的观测值增加到 68,641（比较之前版本的 59,781；Valente 等人，2019）。自 2016 年以来，叶绿素数据也增加了近 10 倍。每次原位测量的元数据（原始来源、巡航或实验、首席研究员）都包含在最终表格中。通过提供元数据，可以更好地记录出处，也可以单独分析每组数据。编译后的数据可在 https://doi.pangaea.de/10.1594/PANGAEA.941318 (Valente et al., 2022) 获得。