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Cyril Moulin

Researcher at Centre national de la recherche scientifique

Publications -  70
Citations -  5432

Cyril Moulin is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Mineral dust & SeaWiFS. The author has an hindex of 36, co-authored 70 publications receiving 5035 citations. Previous affiliations of Cyril Moulin include DSM.

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Control of atmospheric export of dust from North Africa by the North Atlantic Oscillation

TL;DR: In this article, the authors used daily satellite observations of airborne dusts to obtain an 11-year regional-scale analysis of dust transport out of Africa and found that the substantial seasonal variability over the Atlantic Ocean and Mediterranean Sea can be explained by the synoptic meteorology.
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The role of atmospheric deposition in the biogeochemistry of the Mediterranean Sea

TL;DR: In this article, the authors reviewed estimates of atmospheric inputs to the Mediterranean and some coastal areas, and uncertainities in these estimates considered, and indicated that eolian deposition is an important (50%) or even dominant (>80%) contribution to sediments in the offshore waters of the entire Mediterranean basin.
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Satellite climatology of African dust transport in the Mediterranean atmosphere

TL;DR: A daily analysis of African dust concentrations in the Mediterranean atmosphere has been made between June 1983 and December 1994 using the International Satellite Cloud Climatology Project (ISCCP-B2) archive of VIS channel images.
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Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery

TL;DR: In this article, a large set of quantitative inventories of phytoplankton pigments collected during nine cruises from Le Havre (France) to New Orleans (US) was used to distinguish between different species.
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Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: A satellite view

TL;DR: In this article, an algorithm called PHYSAT was developed to detect the major dominant phytoplankton groups from anomalies of the marine signal measured by ocean color satellites, which allows to identify nanoeucaryotes, Prochlorococcus, Synechococcus and diatoms.