Dataset for: Accumulation and Subduction of Buoyant Material at Submesoscale Fronts

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

DOI:
10.7266/N7T1520X
 
UDI:
R4.x265.250:0001
Last Update:
Jul 10 2018 22:12 UTC
 
Dataset Author(s):
John Taylor
Point of Contact:
Taylor, John R.
University of Cambridge / Department of Applied Mathematics and Theoretical Physics
Wilberforce Rd
Cambridge, England  CB3 0WA
GBR
J.R.Taylor@damtp.cam.ac.uk
Funding Source:
RFP-IV
 
Extent Description:
Dataset contains output from idealized numerical simulations.

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

John Taylor. 2018. Dataset for: Accumulation and Subduction of Buoyant Material at Submesoscale Fronts. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7T1520X

Abstract:

The dataset contains Fortran source code and input files needed to reproduce the large-eddy simulations (LES) reported in Taylor 2018, along with a full set of output files and post-processing scripts. Briefly, simulations were used to examine the dynamics of submesoscale eddies on the distribution and subduction of buoyant material, such as oil droplets and microplastics, in the mixed layer. The parameters used for the simulations are presented in Table 1 of Taylor 2018. The simulations were forced by applying a destabilizing surface buoyancy flux equivalent to cooling the ocean surface, while submesoscales were generated through mixed layer instability (MLI) associated to the horizontal buoyancy gradient. The simulations did not include the effects of wind and waves. This dataset supports the publication: J.R. Taylor (2018). Accumulation and Subduction of Buoyant Material at Submesoscale Fronts. American Meteorological Society, 48: 1233-1241. doi: 10.1175/JPO-D-17-0269.1

Purpose:

The data were generated from a large-eddy simulation used to study the movement of buoyant tracers (e.g. oil) in the ocean surface boundary layer.

Theme Keywords:

oil transport, large-eddy simulation, submesoscale, buoyant tracers, mixed layer instability

File Format:

all, dat, f, h5, m, o, sh, txt

Cold Storage:

NOTE: Due to the large size of this dataset it has been archived to cold storage. The dataset file has been replaced by a manifest file with instructions on how to request this data: R4.x265.250.0001-manifest.zip (22.11 KB).

Filename:

R4.x265.250.0001.tar.gz (120.8 GB)

Dataset Downloads:

2

Dataset for: Accumulation and Subduction of Buoyant Material at Submesoscale Fronts



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R4.x265.250-0001-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          John R. Taylor
      Organisation name: 
          University of Cambridge / Department of Applied Mathematics and Theoretical Physics
      Position name: 
          Lecturer
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  0122333703
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  Wilberforce Rd
              City: 
                  Cambridge
              Administrative area: 
                  England
              Postal code: 
                  CB3 0WA
              Country: 
                  GBR
              Electronic mail address: 
                  J.R.Taylor@damtp.cam.ac.uk
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2021-05-04T20:04:56+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.x265.250:0001
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Identification info: Data identification: Citation: Citation: Title: Dataset for: Accumulation and Subduction of Buoyant Material at Submesoscale Fronts Alternate title: Date: Date: Date: 2018-07-11 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N7T1520X title: DOI doi:10.7266/N7T1520X Abstract: The dataset contains Fortran source code and input files needed to reproduce the large-eddy simulations (LES) reported in Taylor 2018, along with a full set of output files and post-processing scripts. Briefly, simulations were used to examine the dynamics of submesoscale eddies on the distribution and subduction of buoyant material, such as oil droplets and microplastics, in the mixed layer. The parameters used for the simulations are presented in Table 1 of Taylor 2018. The simulations were forced by applying a destabilizing surface buoyancy flux equivalent to cooling the ocean surface, while submesoscales were generated through mixed layer instability (MLI) associated to the horizontal buoyancy gradient. The simulations did not include the effects of wind and waves. This dataset supports the publication: J.R. Taylor (2018). Accumulation and Subduction of Buoyant Material at Submesoscale Fronts. American Meteorological Society, 48: 1233-1241. doi: 10.1175/JPO-D-17-0269.1 Purpose: The data were generated from a large-eddy simulation used to study the movement of buoyant tracers (e.g. oil) in the ocean surface boundary layer. Status: Progress code: completed Point of contact: Responsible party: Individual name: John R. Taylor Organisation name: University of Cambridge / Department of Applied Mathematics and Theoretical Physics Position name: Lecturer Contact info: Contact: Phone: Telephone: Voice: 0122333703 Facsimile: Address: Address: Delivery point: Wilberforce Rd City: Cambridge Administrative area: England Postal code: CB3 0WA Country: GBR Electronic mail address: J.R.Taylor@damtp.cam.ac.uk Role: Role code: pointOfContact Descriptive keywords: Keywords: Keyword: oil transport Keyword: large-eddy simulation Keyword: submesoscale Keyword: buoyant tracers Keyword: mixed layer instability Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: inapplicable Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: John Taylor. 2018. Dataset for: Accumulation and Subduction of Buoyant Material at Submesoscale Fronts. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7T1520X Resource constraints: title: CC0 License Legal constraints: Use constraints: Restriction code: licenceUnrestricted Other constraints: This information is released under the Creative Commons license - No Rights Reserved - CC0 1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/). The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. Resource constraints: title: Liability and Warranty Legal constraints: Other constraints: All materials on this website are made available to GRIIDC and in turn to you "as-is." Content may only be submitted by an individual who represents and warrants that s/he has sufficient rights to be able to make the content available under a CC0 waiver. There is no warranty (expressed or implied) to these materials, their title, accuracy, non-infringement of third party rights, or fitness for any particular purpose, including the performance or results you may obtain from their use. Use these materials at your own risk. Under no circumstances shall GRIIDC be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use or the inability to use either this website or the materials available via this website. If you are dissatisfied with any website feature, content, or terms of use, your sole and exclusive remedy is to discontinue use. Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Taylor, J. R. (2018). Accumulation and subduction of buoyant material at submesoscale fronts. Journal of Physical Oceanography. doi:10.1175/jpo-d-17-0269.1 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1175/jpo-d-17-0269.1 title: DOI doi:10.1175/jpo-d-17-0269.1 Association Type: Association type code: crossReference Language: eng; USA Topic category: Topic category code: oceans Extent: Extent: Description: Dataset contains output from idealized numerical simulations. Supplemental Information: This directory contains input and output files from large-eddy simulations reported in Taylor, JPO, 2018: "Accumulation and subduction of buoyant material at submesoscale fronts". Refer to Table 1 in Taylor (2018) for details of each simulation. The output directories are: R0_run1, R0_run2, R0_run3: M^2=3e-8, B0=0 R0p1_run1, R0p1_run2: M^2=3e-8, B0=-0.019e-8 R1_run1, R1_run2: M^2=3e-8, B0=-0.19e-8 R10_run1, R10_run2: M^2=3e-8, B0=-1.9e-8 R0p1_nofront: M^2=0, B0=-0.019e-8 R1_nofront: M^2=0, B0=-0.19e-8 R10_nofront: M^2=0, B0=-1.9e-8 Where M^2 is the background buoyancy gradient and B0 the constant surface buoyancy flux. The end.h5 files in each directory contain a 3D snapshot of all simulation variables at the end of each run. movie.h5 contains a timeseries of 2D slices for each variable. Both files are in the HDF5 file format.The “th” variables in the movie.h5 and end.h5 file mean the following: Th1= Buoyancy (m/s^2), Th2= slip velocity, w_s=0 (mm/s), Th3= slip velocity, w_s=0.05 (mm/s), Th4= slip velocity, w_s=0.5 (mm/s), Th5 = w_s=5 (mm/s), nu_t is the subgrid_scale viscosity from the LES and P is the pressure Horizontally averaged statistics can be obtained from mean*.txt, while volume-averaged statistics are in stats.txt. The post_process directory contains Matlab/Octave scripts for reading these files. mean*.txt contains horizontal averages of the resolved flow variables mean_th*.txt contains horizontal averages of terms involving tracers mean_les*.txt contains horizontal averages of diagnostics from the subgrid-scale model. The 1,2,3,4 labels indicate which MPI slab the data came from - these are recombined in the Matlab scripts. The snapshots were saved every N_SAVE_STATS timesteps, where that variable is defined in input.dat|||||
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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: all, dat, f, h5, m, o, sh, txt Version: inapplicable File decompression technique: tar, gz Distributor transfer options: Digital transfer options: Transfer size: 0.0221 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R4.x265.250:0001 Protocol: https Name: Data Landing Page Description: GRIIDC dataset landing page Function: Online function code: information
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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.x265.250:0001 on 2021-11-29T15:04:07-06:00
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