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DEEPEND: The Impact of In Situ Data Assimilation in a Numerical Model on the Characterization of the Biophysical Habitat
Marine & Environmental Sciences Faculty Proceedings, Presentations, Speeches, Lectures
  • Brad Penta, Naval Research Laboratory at Stennis Space Center
  • Sergio DeRada, Naval Research Laboratory at Stennis Space Center
  • Tracey Sutton, Nova Southeastern University
  • Matthew Johnston, Nova Southeastern University
  • Rosanna Milligan, Nova Southeastern University
  • Cole Easson, Nova Southeastern University
  • April Cook, Nova Southeastern University
  • Kevin M. Boswell, Florida International University
  • Chad Lembke, University of South Florida
  • David English, University of South Florida
Event Name/Location
Gulf of Mexico Oil Spill & Ecosystem Science Conference, New Orleans, Louisiana, February 5-8, 2018
Document Type
Poster
Publication Date
2-1-2018
Abstract

The Deep-Pelagic Nekton Dynamics of the Gulf of Mexico consortium (DEEPEND) uses observational and multi-model approaches to characterize biophysical variability and investigates the dynamics of deep-pelagic animal assemblages at multiple temporal and spatial scales. Run in near-real time, at 1/25° horizontal-resolution, the HYCOM Gulf of Mexico (HYCOM-GOM) ocean model was used to support the five DEEPEND research cruises (2015-2017) and aid adaptive sampling strategies. Post-cruise, three additional simulations were performed with the HYCOM-GOM configuration to better understand biophysical relationships in the Northeastern Gulf of Mexico. First, a hindcast “nature run” was conducted with no data assimilation. Next two data assimilative runs were completed. One assimilated data from publicly available sources (e.g., the NOAA Global Telecommunication System [GTS]), and the other assimilated in-situ CTD and glider data collected during the cruises. We analyzed the impact of the various assimilated data on the model results and on the characterization of the biophysical habitat and associated environmental drivers.

ORCID ID
0000-0002-5280-7071, 0000-0002-8296-4780
ResearcherID
J-3058-2014
Citation Information
Brad Penta, Sergio DeRada, Tracey Sutton, Matthew Johnston, et al.. "DEEPEND: The Impact of In Situ Data Assimilation in a Numerical Model on the Characterization of the Biophysical Habitat" (2018)
Available at: http://works.bepress.com/matthew-johnston/35/