Horne John K.

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Horne
First Name
John K.
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  • Dataset
    Zooplankton densities collected from a seasonally hypoxic fjord on R/V Clifford A Barnes cruises from 2012-2013 (Pelagic Hypoxia project)
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-04-04) Keister, Julie E. ; Essington, Timothy ; Horne, John K. ; Parker-Stetter, Sandra
    Zooplankton densities collected from a seasonally hypoxic fjord on R/V Clifford A Barnes cruises from 2012-2013 (Pelagic Hypoxia project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/682074
  • Article
    Comparisons among ten models of acoustic backscattering used in aquatic ecosystem research
    (Acoustical Society of America, 2015-12-21) Jech, J. Michael ; Horne, John K. ; Chu, Dezhang ; Demer, David A. ; Francis, David T. I. ; Gorska, Natalia ; Jones, Benjamin A. ; Lavery, Andone C. ; Stanton, Timothy K. ; Macaulay, Gavin J. ; Reeder, D. Benjamin ; Sawada, Kouichi
    Analytical and numerical scatteringmodels with accompanying digital representations are used increasingly to predict acoustic backscatter by fish and zooplankton in research and ecosystem monitoring applications. Ten such models were applied to targets with simple geometric shapes and parameterized (e.g., size and material properties) to represent biological organisms such as zooplankton and fish, and their predictions of acoustic backscatter were compared to those from exact or approximate analytical models, i.e., benchmarks. These comparisons were made for a sphere, spherical shell, prolate spheroid, and finite cylinder, each with homogeneous composition. For each shape, four target boundary conditions were considered: rigid-fixed, pressure-release, gas-filled, and weakly scattering. Target strength (dB re 1 m2) was calculated as a function of insonifying frequency (f = 12 to 400 kHz) and angle of incidence (θ = 0° to 90°). In general, the numerical models (i.e., boundary- and finite-element) matched the benchmarks over the full range of simulation parameters. While inherent errors associated with the approximate analytical models were illustrated, so were the advantages as they are computationally efficient and in certain cases, outperformed the numerical models under conditions where the numerical models did not converge