Diagnosis and Validation of the Time and Spatial Variability of Remotely Generated Internal Waves in

Abstract

This USM/UM/NRL proposal and the SIO/WHOI/JPL proposal "A Distributed Network of Internal Wave Resolving Moored Arrays for Assessing, Tide-Resolving Model Fields and Improving Forecasts in the Coastal Ocean" are two synergistic pieces of a two-piece puzzle; both ha,ve been submitted to this NOPP call. In the SIO/WHOI/JPL proposal a full water column Internal Wave Resolving (IWR) Array is designe,d and deployed in the Cal/Val area off the U.S. West Coast to resolve unidirectional near-inertial, diurnal, and semidiurnal interna,l waves from remote and local sources, and their continuum. In this proposal, which is in front of you, we will use several data set,s to verify and improve the internal wave predictability in the far field in global HYbrid Coordinate Ocean Model (HYCOM) simulation,s with tides, data assimilation, and realistic atmospheric forcing. While near-field internal waves are reasonably well simulated in, HYCOM, the model performance in the far field is not-well studied and understood. We will validate HYCOM using the IWR Array and SW,OT data collected during the fast-sampling and science orbit phases. We will apply directional filtering techniques to separate unid,irectional waves, allowing us to study the wave energy decay along a beam. Moreover, we will prepare SWOT data to be ingested in HYC,OM s data-assimilative system to further improve predictability of internal waves, whose phase and amplitude in the far field are af,fected by the location of mesoscale eddies. Finally, we will perform ensemble HYCOM simulations with perturbed eddy fields to quanti,fy uncertainty in model internal wave fields.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 08, 2022
Source ID
N000142212576

Entities

People

  • Maarten C Buijsman

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Southern Mississippi

Tags

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space