Near-inertial Wave Studies using Historical Mooring Records and a High-Resolution General Circulation Model

Abstract

We are interested in the general problems of internal waves and ocean mixing. Knowledge of these topics is important for advancing the performance of operational and climate models, as well as for understanding local problems such as pollutant dispersal and biological productivity. Consequently, a long-term goal of the oceanographic community has been to develop a global internal wave prediction system analogous to those already in place for surface waves. Early steps have been accomplished with simulations of internal tides at basin and global scale and near-inertial waves (NIWs). However, near-inertial waves and mesoscale variability have not been studied carefully in the context of global simulations. This project takes another step toward this larger goal. The objectives of the project are as follows: to understand the generation mechanisms and subsequent propagation of near-inertial waves in an eddy-resolving global model, and to validate model predictions with historical and new data sets and determine improvements. Our approach is to force Simmons' eddy-resolving GOLD numerical model with wind and tides, and to examine the spatial scales and dynamics of near-inertial waves in it. Model output will be compared with historical moorings compiled by Alford.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA526932

Entities

People

  • Harper L. Simmons

Organizations

  • University of Alaska Fairbanks

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atlantic Ocean
  • Climate Change
  • Data Sets
  • Data Storage Systems
  • Energy
  • Frequency
  • Frequency Bands
  • Fungi
  • High Resolution
  • Internal Waves
  • North Atlantic Ocean
  • Oceans
  • Simulations
  • Spatial Distribution
  • Spectra
  • Surface Waves
  • Waves

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation