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Michelle C. Tomlinson

Researcher at National Oceanic and Atmospheric Administration

Publications -  30
Citations -  1789

Michelle C. Tomlinson is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Algal bloom & Bloom. The author has an hindex of 15, co-authored 27 publications receiving 1486 citations. Previous affiliations of Michelle C. Tomlinson include Silver Spring Networks & National Ocean Service.

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Monitoring karenia brevis blooms in the gulf of mexico using satellite ocean color imagery and other data

TL;DR: The Gulf of Mexico Harmful algal blooms (HABs) of Karenia brevis are a recurrent problem in the Gulf of the USA as discussed by the authors, with nearly annual occurrences on the Florida southwest coast and fewer occurrences on northwest Florida and Texas coasts.
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Characterizing a cyanobacterial bloom in Western Lake Erie using satellite imagery and meteorological data

TL;DR: The distribution and intensity of a bloom of the toxic cyanobacterium, Microcystis aeruginosa, in western Lake Erie was characterized using a combination of satellite ocean-color imagery, field data, and meteorological observations as discussed by the authors.
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Relating spectral shape to cyanobacterial blooms in the Laurentian Great Lakes

TL;DR: In this paper, a change in the spectral shape at 681nm is used to distinguish blooms of cyanobacteria from bloom of other phytoplankton via MERIS satellite sensor imagery.
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Evaluation of the use of SeaWiFS imagery for detecting Karenia brevis harmful algal blooms in the eastern Gulf of Mexico

TL;DR: In this paper, a regional algorithm that compensates for the scattering of sediments in coastal waters can be applied to accurately estimate chlorophyll concentrations in coastal areas of Florida, which is the first step in an early warning system to forecast K. brevis blooms in the eastern Gulf of Mexico.
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Skill assessment for an operational algal bloom forecast system

TL;DR: The study indicates the importance of systematic sampling, even when using qualitative descriptors, the use of validation resolution to evaluate forecast capabilities, and the need to match forecast and validation resolutions.