Turbulence Sensing Profiling Floats

Abstract

Abstract (Approved for Public Release)The upper ocean evolves rapidly under strong atmospheric forcing, with its evolution controlle d by a variety of factors; stratification, wind stress, surface waves, buoyancy fluxes, and mixing dynamics. Improved understanding of these physics will ultimately lead to improvements in ocean modeling and predictability through improved parameterization of sma ll-scale processes, most importantly mixing. High-temporal resolution observations of the upper ocean are required to resolve the r apid evolution of the upper ocean during strong forcing events. The persistent autonomous observational platforms proposed here wil l directly address this problem by utilizing profiling floats to rapidly sample the upper ocean temperature, salinity structure as w ell as the small-scale mixing through microstructure sensors.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 07, 2021
Source ID
N000142112912

Entities

People

  • Steven R. Jayne

Organizations

  • Office of Naval Research
  • United States Navy
  • Woods Hole Oceanographic Institution

Tags

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
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