Article

 

Evaluation of directly wind-coherent near-inertial surface currents off Oregon using a statistical parameterization and analytical and numerical models Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/articles/5712mb961

Descriptions

Attribute NameValues
Creator
Abstract
  • Directly wind-coherent near-inertial surface currents off the Oregon coast are investigated with a statistical parameterization of observations and outputs of a regional numerical ocean model and three one-dimensional analytical models including the slab layer, Ekman, and near-surface averaged Ekman models. The transfer functions and response functions, statistically estimated from observed wind stress at NDBC buoys and surface currents derived from shored-based high-frequency radars, enable us to isolate the directly wind-forced near-inertial surface currents. Concurrent observations of the wind and currents are crucial to evaluate the directly wind-forced currents. Thus, the wind stress and surface current fields obtained from a regional ocean model, which simulates variability of the wind and surface currents on scales comparable to those in observations, are analyzed with the same statistical parameterization to derive the point-by-point transfer functions and response functions. Model and data comparisons show that the regional ocean model describes near-inertial variability of surface currents qualitatively and quantitatively correctly. The estimated response functions exhibit decay time scales in a range of 3-5 days, and about 40% of the near-inertial motions are explained by local wind stress. Among the one-dimensional analytical models, the near-surface averaged Ekman model explains the statistically derived wind-current relationship better than other analytical models.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Kim, S. Y., Kosro, P. M., & Kurapov, A. L. (2014). Evaluation of directly wind-coherent near-inertial surface currents off Oregon using a statistical parameterization and analytical and numerical models. Journal of Geophysical Research: Oceans, 119(10), 6631–6654. doi:10.1002/2014JC010115
Journal Title
Journal Volume
  • 119
Journal Issue/Number
  • 10
Keyword
Rights Statement
Funding Statement (additional comments about funding)
  • Sung Yong Kim is supported by the Basic Science Research Program through the National Research Foundation (NRF), Ministry of Education (NRF-2013R1A1A2057849), a program on the Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), Ministry of Trade, Industry and Energy (20134030200300), and a program on Management of Marine Organisms Causing Ecological Disturbance and Harmful Effects through Korea Integrated Marine Science Technology (KIMST) and Ministry of Fishery (MOF), Republic of Korea. P. Michael Kosro is supported by the National Science Foundation (NSF) (grants 0434810 and 0237710) and the National Oceanic Atmospheric Administration (NOAA) IOOS program (most recently NA11NOS0120036). Alexander L. Kurapov is supported by the NSF (grants OCE-0000734, OCE-0648314, and OCE-1030922), the Office of Naval Research Physical Oceanography Program (grant N000140810942), and NOAA (including CIOSS and IOOS-NANOOS).
Publisher
Peer Reviewed
Language
Replaces

Relationships

Parents:

This work has no parents.

Items