E
Ellyn T. Montgomery
Researcher at Woods Hole Oceanographic Institution
Publications - 38
Citations - 1259
Ellyn T. Montgomery is an academic researcher from Woods Hole Oceanographic Institution. The author has contributed to research in topics: Bay & Ocean current. The author has an hindex of 7, co-authored 38 publications receiving 1171 citations. Previous affiliations of Ellyn T. Montgomery include United States Geological Survey.
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Journal ArticleDOI
Evidence for enhanced mixing over rough topography in the abyssal ocean
James R. Ledwell,Ellyn T. Montgomery,Kurt L. Polzin,L. St. Laurent,Raymond W. Schmitt,John M. Toole +5 more
TL;DR: This amount of mixing, probably driven by breaking internal waves that are generated by tidal currents flowing over the rough bathymetry, may be large enough to close the buoyancy budget for the Brazil basin and suggests a mechanism for closing the global overturning circulation.
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The dispersal of the Amazon and Orinoco River water in the tropical Atlantic and Caribbean Sea: Observation from space and S-PALACE floats
TL;DR: The temporal evolution of spatial patterns of the colored water mass associated with the discharges of the Amazon and Orinoco Rivers between 1997 and 2002 was examined using concurrent in situ and satellite observations in the region bounded by 0°N-24°N and 70°W-40°W as discussed by the authors.
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Enhanced Diapycnal Mixing by Salt Fingers in the Thermocline of the Tropical Atlantic
TL;DR: A tracer release experiment in the western tropical Atlantic staircase at ∼400 m depth implies an effective diapycnal diffusivity for tracer and salt of 0.8 to 0.9 × 10–4 m2/s, consistent with salt fingers and well above the mixing ascribable to mechanical turbulence.
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Physiological Smolt Characteristics of Anadromous and Non-anadromous Brook Trout (Salvelinus fontinalis) and Atlantic Salmon (Salmo salar)
TL;DR: Brook trout at high-salinity estuarine sites had greater gill Na+, K+-ATPase activity and hypoosmoregulatory ability than those from low- salinity sites.
OtherDOI
The United States Geological Survey Science Data Lifecycle Model
John L. Faundeen,Thomas E. Burley,Jennifer Carlino,David L. Govoni,Heather S. Henkel,Sally L. Holl,Vivian B. Hutchison,Elizabeth Martín,Ellyn T. Montgomery,Cassandra Ladino,Steven Tessler,Lisa S. Zolly +11 more
TL;DR: This paper presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and expensive and expensive process of designing and implementing data management systems.