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Mediterranean ocean colour Level 3 operational multi-sensor processing

Gianluca Volpe; Simone Colella; Vittorio E. Brando; Vega Forneris; Flavio La Padula; Annalisa Di Cicco; Michela Sammartino; Marco Bracaglia; Florinda Artuso; Rosalia Santoleri
Ocean Science · Vol. 15, Issue 1 · pp. 127-146 · 2019

Abstract

The Mediterranean near-real-time multi-sensor processing chain has been set up and is operational in the framework of the Copernicus Marine Environment Monitoring Service (CMEMS). This work describes the main steps operationally performed to enable single ocean colour sensors to enter the multi-sensor processing applied to the Mediterranean Sea by the Ocean Colour Thematic Assembly Centre within CMEMS. Here, the multi-sensor chain takes care of reducing the inter-sensor bias before data from different sensors are merged together. A basin-scale in situ bio-optical dataset is used both to fine tune the algorithms for the retrieval of phytoplankton chlorophyll and the attenuation coefficient of light, Kd, and to assess the uncertainty associated with them. The satellite multi-sensor remote sensing reflectance spectra agree better with the in situ observations than those of the single sensors. Here, we demonstrate that the operational multi-sensor processing chain compares sufficiently well with the historical in situ datasets to also confidently be used for reprocessing the full data time series.

Bibliographic Information

JournalOcean Science
PublisherCopernicus Publications / European Geosciences Union
Publication Date2019-02-12
Publication Year2019
Volume15
Issue1
Pages127-146
Document TypeJournal Article
Print ISSN1812-0784
eISSN1812-0792
DOI10.5194/os-15-127-2019
SubjectOceanography; physical oceanography; chemical oceanography; biogeochemistry; ocean modelling

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NARA Access CoverageOA / free full text
Journal Homepagehttps://www.ocean-science.net/
Publisher PageOpen Publisher Page
This article is openly available from the publisher.