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  • American Meteorological Society  (1)
  • Copernicus Publications  (1)
  • 1
    Publication Date: 2022-05-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Earth System Science Data 11(3), (2019): 1037-1068, doi: 10.5194/essd-11-1037-2019.
    Description: A global compilation of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (including, inter alia, MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT and GeP&CO) and span the period from 1997 to 2018. Observations of the following variables were compiled: spectral remote-sensing reflectances, concentrations of chlorophyll a, spectral inherent optical properties, spectral diffuse attenuation coefficients and total suspended matter. The data were from multi-project archives acquired via open internet services or from individual projects, acquired directly from data providers. Methodologies were implemented for homogenization, quality control and merging of all data. No changes were made to the original data, other than averaging of observations that were close in time and space, elimination of some points after quality control and conversion to a standard format. The final result is a merged table designed for validation of satellite-derived ocean-colour products and available in text format. Metadata of each in situ measurement (original source, cruise or experiment, principal investigator) was propagated throughout the work and made available 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. This paper also describes the changes that were made to the compilation in relation to the previous version (Valente et al., 2016). The compiled data are available at https://doi.org/10.1594/PANGAEA.898188 (Valente et al., 2019).
    Description: This research has been supported by the ESA Climate Change Initiative – Ocean Colour project (ref: AO-1/6207/09/I-LG).
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
    Publication Date: 2017-04-01
    Description: Fisheries and Oceans Canada maintains a network of scientific buoys in the St. Lawrence estuary and gulf. Among a suite of environmental parameters documented, the in-water upwelling radiance is measured using an ocean color radiometer located underneath the center of the buoy. The shadow effect from the 1.05-m-radius buoy on the measured upwelling radiance is estimated and empirical models to correct for it are proposed. On average, the shading error (i.e., the percent of missing radiance) was and for the 555- and 412-nm channels, respectively. Two analytical models were tested to predict the shading error using measured inherent optical properties, the sun zenith angle, and the fraction of diffuse sky irradiance. Neglecting light scattering led to overestimates of the shading error. In contrast, the bias was removed when the scattering coefficient was accounted for, but the overall error was only barely improved (root-mean-square error ). Empirical relationships based on the uncorrected reflectance ratio measured by the buoy were used to predict both the shading error and the diffuse attenuation of the upwelling radiance, two quantities needed to calculate remote sensing reflectance . Overall, was retrieved with an averaged absolute percent difference ranging from 12% to 20%, which appears adequate for the validation of ocean color data such as the Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua) and Visible Infrared Imaging Radiometer Suite (VIIRS) products in the optically complex waters of the St. Lawrence estuary.
    Print ISSN: 0739-0572
    Electronic ISSN: 1520-0426
    Topics: Geography , Geosciences , Physics
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