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Journal Articles Earth System Science Data Year : 2023

The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset


Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) oceanographic expeditions were conducted in 1997 and 1998 to examine the relationship between the optical properties of seawater and related biological and chemical properties across the coastal to open-ocean gradient in various European seas. A total of 379 stations were visited along the coasts of the Gulf of Lion in the Mediterranean Sea (n=61), the Adriatic Sea (n=39), the Baltic Sea (n=57), the North Sea (n=99), the English Channel (n=85), and the Atlantic Ocean (n=38). Particular emphasis was placed on the collection of a comprehensive set of apparent and inherent optical properties (AOPs and IOPs) to support the development of ocean color remote-sensing algorithms. The data were collected in situ using traditional ship-based sampling but also from a helicopter, which is a very efficient means for that type of coastal sampling. The dataset collected during the COASTℓOOC campaigns is unique in that it is fully consistent in terms of operators, protocols, and instrumentation. This rich and historical dataset is still today frequently requested and used by other researchers. Therefore, we present the result of an effort to compile and standardize a dataset which will facilitate its reuse in future development and evaluation of new bio-optical models adapted for optically complex waters. The dataset is available at (Massicotte et al., 2023).
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Dates and versions

hal-04191877 , version 1 (24-10-2023)



Philippe Massicotte, Marcel Babin, Frank Fell, Vincent Fournier-Sicre, David Doxaran. The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset. Earth System Science Data, 2023, 15 (8), pp.3529-3545. ⟨10.5194/essd-15-3529-2023⟩. ⟨hal-04191877⟩
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