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 associat...
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing Sy...
ABSTRACT A feasibility study is presented which examined the application of a distributed sensor sys...
A global in-situ data set for validation of ocean-colour products from the ESA Ocean Colour Climate ...
The Mediterranean near-real-time multi-sensor processing chain has been set up and is operational in...
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data r...
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data r...
International audienceThe societal benefits of satellite ocean colour include aiding the management ...
A global in situ data set for validation of ocean colour products from the ESA Ocean Colour Climate ...
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data r...
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing Sy...
Ocean colour is defined as the water hue due to the presence of tiny plants containing the pigment c...
Spectrally-resolved water-leaving radiances (ocean colour) and inferred chlorophyll concentration ar...
The utility of global and regional algorithms for retrieving surface chlorophyll-a values from satel...
Multi Layer Perceptron (MLP) neural networks for regional satellite ocean color applications have be...
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing Sy...
ABSTRACT A feasibility study is presented which examined the application of a distributed sensor sys...
A global in-situ data set for validation of ocean-colour products from the ESA Ocean Colour Climate ...
The Mediterranean near-real-time multi-sensor processing chain has been set up and is operational in...
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data r...
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data r...
International audienceThe societal benefits of satellite ocean colour include aiding the management ...
A global in situ data set for validation of ocean colour products from the ESA Ocean Colour Climate ...
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data r...
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing Sy...
Ocean colour is defined as the water hue due to the presence of tiny plants containing the pigment c...
Spectrally-resolved water-leaving radiances (ocean colour) and inferred chlorophyll concentration ar...
The utility of global and regional algorithms for retrieving surface chlorophyll-a values from satel...
Multi Layer Perceptron (MLP) neural networks for regional satellite ocean color applications have be...
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing Sy...
ABSTRACT A feasibility study is presented which examined the application of a distributed sensor sys...
A global in-situ data set for validation of ocean-colour products from the ESA Ocean Colour Climate ...