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Antonio Mannino

Researcher at Goddard Space Flight Center

Publications -  71
Citations -  3070

Antonio Mannino is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Ocean color & Dissolved organic carbon. The author has an hindex of 28, co-authored 62 publications receiving 2507 citations. Previous affiliations of Antonio Mannino include University of Texas at Austin & University of Maryland Center for Environmental Science.

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Remote sensing retrievals of colored dissolved organic matter and dissolved organic carbon dynamics in North American estuaries and their margins

TL;DR: In this paper, the authors used a rich dataset of field observations to develop and validate new CDOM and DOC algorithms that are broadly applicable to different estuarine and coastal regions, over different seasons and a wide range of in-water conditions.
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The chemical composition and cycling of particulate and macromolecular dissolved organic matter in temperate estuaries as revealed by molecular organic tracers

TL;DR: In this paper, high molecular weight dissolved organic matter collected seasonally throughout the 200 km Delaware Estuary and nearby coastal ocean and compared its organic composition to particles collected in parallel was examined.
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Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast

TL;DR: In this paper, an extensive set of field measurements have been collected throughout the continental margin of the northeastern U.S. from 2004 to 2011 to develop and validate ocean color satellite algorithms for the retrieval of the absorption coefficient of chromophoric dissolved organic matter (aCDOM) and CDOM spectral slopes for the 275:295-nm and 300:600-nm spectral range (S275:295 and S300:600).
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Spatially Resolving Ocean Color and Sediment Dispersion in River Plumes, Coastal Systems, and Continental Shelf Waters

TL;DR: In this paper, the authors apply analytical approaches for determining optimal spatial resolution, dominant spatial scales of variability ("patches"), and proportions of patch variability that can be resolved from four river plumes around the world between 2008 and 2011.
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Remote sensing of phytoplankton pigment distribution in the United States northeast coast

TL;DR: In this paper, field measurements were applied to develop ocean color satellite algorithms of phytoplankton pigments from in-water radiometry measurements, with better agreement (e.g. 30-55% of uncertainty for SeaWiFS and 37-50% for MODIS-Aqua) to field data.