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Large eddy simulation of the mixed layer, wind and cooling only

Consortium for Advanced Research on Transport of Hydrocarbon in the Environment II (CARTHE II)

DOI:
10.7266/N7BZ64FX
 
UDI:
R4.x265.241:0001
Last Update:
Apr 22 2018 17:12 UTC
 
Dataset Author(s):
Baylor Fox-Kemper, Nobuhiro Suzuki, Peter Hamlington, Luke Van Roekel
Point of Contact:
Fox-Kemper, Baylor
Brown University / Department of Earth, Environmental and Planetary Sciences
324 Brook St
Providence, Rhode Island  02912
USA
baylor@brown.edu
Funding Source:
RFP-IV
 
Extent Description:
The process model is not associated with any particular physical location.

Identified Submitted Review Available
3 3 3 3

Abstract:

A Large Eddy Simulation (LES) is used to model the 3D mixed layer on scales from 4 m to 20 km. This dataset contains snapshots of the state variables in the wind- and cooling-only forcing. The wave-driven data are available in GRIIDC dataset R6.x806.000:0017.

Purpose:

To examine the processes on scales from 4m to 20km in a typical upper ocean.

Theme Keywords:

Turbulence, Temperature, Velocity, Pressure, Large eddy simulation, LES

File Format:

netCDF, txt

Dataset Downloads:

0

Large eddy simulation of the mixed layer, wind and cooling only



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R4.x265.241-0001-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Baylor Fox-Kemper
      Organisation name: 
          Brown University / Department of Earth, Environmental and Planetary Sciences
      Position name: 
          Associate Professor
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  4018633979
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  324 Brook St
              City: 
                  Providence
              Administrative area: 
                  Rhode Island
              Postal code: 
                  02912
              Country: 
                  USA
              Electronic mail address: 
                  baylor@brown.edu
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2018-08-11T13:47:47+00:00
  Metadata standard name: 
      ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
  Metadata standard version: 
      ISO 19115-2:2009(E)
  Dataset URI: 
      https://data.gulfresearchinitiative.org/metadata/R4.x265.241:0001
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Identification info: Data identification: Citation: Citation: Title: Large eddy simulation of the mixed layer, wind and cooling only Alternate title: Date: Date: Date: 2014-09-03 Date type: Date type code: publication Abstract: A Large Eddy Simulation (LES) is used to model the 3D mixed layer on scales from 4 m to 20 km. This dataset contains snapshots of the state variables in the wind- and cooling-only forcing. The wave-driven data are available in GRIIDC dataset R6.x806.000:0017. Purpose: To examine the processes on scales from 4m to 20km in a typical upper ocean. Status: Progress code: completed Point of contact: Responsible party: Individual name: Baylor Fox-Kemper Organisation name: Brown University / Department of Earth, Environmental and Planetary Sciences Position name: Associate Professor Contact info: Contact: Phone: Telephone: Voice: 4018633979 Facsimile: Address: Address: Delivery point: 324 Brook St City: Providence Administrative area: Rhode Island Postal code: 02912 Country: USA Electronic mail address: baylor@brown.edu Role: Role code: pointOfContact Descriptive keywords: Keywords: Keyword: Turbulence Keyword: Temperature Keyword: Velocity Keyword: Pressure Keyword: Large eddy simulation Keyword: LES Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: inapplicable Type: Keyword type code: place Language: eng; USA Topic category: Topic category code: oceans Topic category: Topic category code: boundaries Extent: Extent: Description: The process model is not associated with any particular physical location. Supplemental Information: Distances (m): x, y, zu (cell centers), zw (cell edges). Velocities (m/s): u (horizontal), v (horizontal), w (vertical). Time (s). Pressure per unit background density (m^2/s^2). Potential temperature (K). Subgrid turbulent kinetic energy per unit mass (m^2/s^2).|The National Center for Atmospheric Research (NCAR) LES model (Moeng 1984) is used to solve wave-averaged Boussinesq (WAB) equations; this code is described at length in McWilliams et al. (1997) and Sullivan et al. (2007). Two simulations are contrasted in the present study; they are otherwise identical runs with and without Stokes drift forcing us. The present study builds upon the simulations described in Hamlington et al. [2014] by introducing tracers to the simulation and restarting the computations at roughly day 12, corresponding to the final fully developed state in the Hamlington et al. [2014] study. The physical setup for the current study is the spin-down of two submesoscale buoyancy fronts; where a warm 10 km wide filament of water was initialized within a domain of cooler water. The simulation with stokes drift forcing are associated with another dataset. The files associated to this dataset are all without stoke forcing, some are at day 0 and 1 of the simulations in a domain of cooler water and the others are at day 10 and 11 with no longer cooler waters. The physical domain size of the simulation is 20 km x 20 km x 160 m, with a computational grid of size 4096 x 4096 x 128, giving a horizontal resolution of 5 m and a vertical resolution of 1 m.||||Hamlington, P. E., L. P. V. Roekel, B. Fox-Kemper, K. Julien, and G. P. Chini (2014). Langmuir-submesoscale interactions: Descriptive analysis of multiscale frontal spin-down simulations, J. Phys. Oceanogr., 44, 2249–2272. doi:10.1175/JPO-D-13-0139.1 McWilliams, J. C., P. Sullivan, and C. Moeng (1997). Langmuir turbulence in the ocean. J. Fluid Mech., 334, 1–30. doi:10.1017/S0022112096004375. Smith, K. M., Hamlington, P. E., and B. Fox-Kemper (2016). Effects of submesoscale turbulence on ocean tracers. Journal of Geophysical Research: Oceans, 121(1), 908–933. doi:10.1002/2015jc011089 Sullivan, P. P., J. C. McWilliams, and W. K. Melville (2007). Surface gravity wave effects in the oceanic boundary layer: Large-eddy simulation with vortex force and stochastic breakers. J. Fluid Mech., 593, 405–452. doi:10.1017/S002211200700897X
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Distribution info: Distribution: Distributor: Distributor: Distributor contact: Responsible party: Organisation name: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) Contact info: Contact: Phone: Telephone: Voice: 3618253604 Address: Address: Delivery point: 6300 Ocean Drive City: Corpus Christi Administrative area: TX Postal code: 78412 Country: USA Electronic mail address: griidc@gomri.org Online Resource: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org Role: Role code: distributor Distributor format: Format: Name: netCDF, txt Version: inapplicable File decompression technique: tar, gz Distributor transfer options: Digital transfer options: Transfer size: 2988331.1501 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R4.x265.241:0001 Protocol: https
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Metadata maintenance: Maintenance information: Maintenance and update frequency: unknown Maintenance note: This ISO metadata record was automatically generated from information provided to GRIIDC for dataset: R4.x265.241:0001 on 2018-11-16T13:30:57+00:00
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