Connecting global HYCOM to FLEAT

Abstract

The objectives of this proposal are to better integrate global simulations of the HYbridCoordinate Ocean Model (HYCOM) with another" Office of Naval Research (ONR)-funded effort, the FLow Encountering Abrupt Topography (FLEAT) Directed Research Initiative (DRI). T""he PI, Brian Arbic, proposes to achieve this integration in two ways: First, the funding requested here will allow Arbic to attend F"LEAT project meetings and collaborate with FLEAT project scientists. Arbic will leverage FLEAT-relevant HYCOM simulations that have" already been performed by Arbic~s former postdoc, Dr. David Trossman (now a scientist at the NASA Global Modeling and Assimilation"" Office). Trossman~s HYCOM simulations were performed without tides, and were done with an inline insertion of parameterized interna"l lee wave drag. These HYCOM simulations are therefore relevant to the FLEAT project goal of understanding the impact of topography" upon the low-frequency oceanic general circulation. Second, the supplemental funding requested here will allow Arbic to send his gr""aduate student Conrad Luecke to FLEAT project meetings. Luecke has been primarily supported by ONR funds, and is writing a PhD prima""rily on our HYCOM tidal simulations. However, Luecke has a significant interest in observational physical oceanography, and is there"fore a perfect student to send to FLEAT DRI meetings. Luecke will contribute to the FLEAT project in ways to be determined in consul"tation with the FLEAT Science Steering Committee. This could include participation in cruises, analysis of data, or comparison of da"ta with the output of HYCOM simulations.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 29, 2017
Source ID
N000141712958

Entities

People

  • Brian K. Arbic

Organizations

  • Board of Regents of the University of Michigan
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers