Bulk, Spectral and Deep Water Approximations for Stokes Drift: Implications for Coupled Ocean Circulation and Surface Wave Models. (22nd February 2021)
- Record Type:
- Journal Article
- Title:
- Bulk, Spectral and Deep Water Approximations for Stokes Drift: Implications for Coupled Ocean Circulation and Surface Wave Models. (22nd February 2021)
- Main Title:
- Bulk, Spectral and Deep Water Approximations for Stokes Drift: Implications for Coupled Ocean Circulation and Surface Wave Models
- Authors:
- Liu, Guoqiang
Kumar, Nirnimesh
Harcourt, Ramsey
Perrie, William - Abstract:
- Abstract: Surface waves modify upper ocean dynamics through Stokes drift related processes. Stokes drift estimated from a discrete wave spectrum is compared to Stokes drift approximations as a monochromatic profile based on bulk surface wave parameters, and to two additional superexponential functional forms. The impact of these different methods on ocean processes is examined in two test‐bed cases of a wave‐current coupled system: (1) a wind‐free shallow water inlet test case and (2) an idealized deep water hurricane case with high varying winds. In case (1), tidal currents and bathymetry can modify the waves and significantly affect Stokes drift computed from the wave spectrum. In case (2), rapid variation in atmospheric stress at high wind speed generates large departures from fully developed equilibrium seas. In both cases, large deviations in ocean current response are produced when the Stokes drift is approximated monochromatically from bulk wave parameters, rather than from integration over the wave spectra. Deep water simulations using the two superexponential approximations are in better agreement with those estimated from wave spectra than are those using the monochromatic, exponential profile based on bulk wave parameters. In order to represent the impact of Stokes drift at resolved scales, we recommend that for studies of nearshore processes and deep water events, like wave‐current interactions under storms, the Stokes drift should be calculated from full waveAbstract: Surface waves modify upper ocean dynamics through Stokes drift related processes. Stokes drift estimated from a discrete wave spectrum is compared to Stokes drift approximations as a monochromatic profile based on bulk surface wave parameters, and to two additional superexponential functional forms. The impact of these different methods on ocean processes is examined in two test‐bed cases of a wave‐current coupled system: (1) a wind‐free shallow water inlet test case and (2) an idealized deep water hurricane case with high varying winds. In case (1), tidal currents and bathymetry can modify the waves and significantly affect Stokes drift computed from the wave spectrum. In case (2), rapid variation in atmospheric stress at high wind speed generates large departures from fully developed equilibrium seas. In both cases, large deviations in ocean current response are produced when the Stokes drift is approximated monochromatically from bulk wave parameters, rather than from integration over the wave spectra. Deep water simulations using the two superexponential approximations are in better agreement with those estimated from wave spectra than are those using the monochromatic, exponential profile based on bulk wave parameters. In order to represent the impact of Stokes drift at resolved scales, we recommend that for studies of nearshore processes and deep water events, like wave‐current interactions under storms, the Stokes drift should be calculated from full wave spectra. For long simulations of open ocean dynamics, methods using superexponential profiles to represent equilibrium wind seas might be sufficient, but appear to be marginally more computationally efficient. Plain Language Summary: The surface wave could induce a net drift in the direction of the wave propagation, known as the Stokes drift. It impacts the Lagrangian trajectories of floating matter over the ocean surface and plays an essential role in the upper ocean mixing and the interaction between the surface wave and upper ocean processes. All these processes need an accurate estimation of Stokes drift profiles. The focus of this study is the implementation and validation of alternative and better methods to estimate the Stokes drift profiles in a coupled model system. We introduce a method that accounts for the complete frequency‐directional spectrum, and two other approximate methods for applications in deep waters. The implementation of these methods in the coupled model creates new opportunities to explore the roles of processes driven by Stokes drift in parameterized mixing processes. Key Points: Stokes drift from a full wave spectrum for a wave‐current coupled model is presented in this paper. A shallow water inlet test case and an idealized deep water hurricane case are simulated for developed methods of estimating Stokes drift. Large deviations result when the Stokes drift is estimated from bulk wave parameters, rather than from the wave spectra … (more)
- Is Part Of:
- Journal of advances in modeling earth systems. Volume 13:Number 2(2021)
- Journal:
- Journal of advances in modeling earth systems
- Issue:
- Volume 13:Number 2(2021)
- Issue Display:
- Volume 13, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 13
- Issue:
- 2
- Issue Sort Value:
- 2021-0013-0002-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-02-22
- Subjects:
- coupled model -- Langmuir turbulence -- Stokes drift -- vortex force -- wave‐current interaction
Geological modeling -- Periodicals
Climatology -- Periodicals
Geochemical modeling -- Periodicals
551.5011 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1942-2466 ↗
http://onlinelibrary.wiley.com/ ↗
http://adv-model-earth-syst.org/ ↗ - DOI:
- 10.1029/2020MS002172 ↗
- Languages:
- English
- ISSNs:
- 1942-2466
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22195.xml