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Gulf of Mexico NCOM forecasts during the GLAD experiment (July - December, 2012)

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

DOI:
10.7266/N72Z13F4
 
UDI:
R1.x134.114:0001
Last Update:
Sep 09 2013 00:26 UTC
 
Dataset Author(s):
Jacobs, Gregg
Point of Contact:
Jacobs, Gregg A.
Naval Research Laboratory at Stennis Space Center / Ocean Dynamics and Prediction Branch
Building 1009
Stennis Space Center, Mississippi  39529
USA
gregg.jacobs@nrlssc.navy.mil
Funding Source:
RFP-I
Data Collection Period:
2012-07-01 to 2013-12-31

Identified Submitted Review Available
3 3 3 3

Abstract:

The model represents the 3D temperature, salinity, velocity and surface elevation of the Gulf of Mexico during the Grand Lagrangian Deployment (GLAD) time period from July through December 2012. This dataset includes the Global Navy Coastal Ocean Model (NCOM) run B06. This dataset was created by the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE). This research was made possible by a grant from BP/The Gulf of Mexico Research Initiative.

Purpose:

To represent the synoptic positions of ocean features larger than about 100km. Features much smaller than this will exist in the model though may not be synoptically placed.

Theme Keywords:

Modeling, Forecast, Currents, Temperature, Salinity, Circulation

File Format:

NetCDF

Dataset Downloads:

7

Gulf of Mexico NCOM forecasts during the GLAD experiment (July - December, 2012)



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R1.x134.114-0001-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Gregg A. Jacobs
      Organisation name: 
          Naval Research Laboratory at Stennis Space Center / Ocean Dynamics and Prediction Branch
      Position name: 
          Branch Head
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  2286884720
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  Building 1009
              City: 
                  Stennis Space Center
              Administrative area: 
                  Mississippi
              Postal code: 
                  39529
              Country: 
                  USA
              Electronic mail address: 
                  gregg.jacobs@nrlssc.navy.mil
      Role: 
        Role code: 
          principalInvestigator
  Date stamp: 
      2018-08-11T13:35:35+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/R1.x134.114:0001
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Identification info: Data identification: Citation: Citation: Title: Gulf of Mexico NCOM forecasts during the GLAD experiment (July - December, 2012) Alternate title: Gulf of Mexico NCOM forecasts during the GLAD experiment Date: Date: Date: 2013-09-05 Date type: Date type code: publication Abstract: The model represents the 3D temperature, salinity, velocity and surface elevation of the Gulf of Mexico during the Grand Lagrangian Deployment (GLAD) time period from July through December 2012. This dataset includes the Global Navy Coastal Ocean Model (NCOM) run B06. This dataset was created by the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE). This research was made possible by a grant from BP/The Gulf of Mexico Research Initiative. Purpose: To represent the synoptic positions of ocean features larger than about 100km. Features much smaller than this will exist in the model though may not be synoptically placed. Status: Progress code: completed Point of contact: Responsible party: Individual name: Gregg A. Jacobs Organisation name: Naval Research Laboratory at Stennis Space Center / Ocean Dynamics and Prediction Branch Position name: Branch Head Contact info: Contact: Phone: Telephone: Voice: 2286884720 Facsimile: Address: Address: Delivery point: Building 1009 City: Stennis Space Center Administrative area: Mississippi Postal code: 39529 Country: USA Electronic mail address: gregg.jacobs@nrlssc.navy.mil Role: Role code: principalInvestigator Descriptive keywords: Keywords: Keyword: Modeling Keyword: Forecast Keyword: Currents Keyword: Temperature Keyword: Salinity Keyword: Circulation Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: Gulf of Mexico Type: Keyword type code: place Language: eng; USA Topic category: Topic category code: environment Topic category: Topic category code: oceans Extent: Extent: Geographic element: Geographic bounding box: West bound longitude: -100.15137 East bound longitude: -79.89258 South bound latitude: 16.88866 North bound latitude: 30.86451 Geographic element: BoundingPolygon: Polygon: Polygon: Outer boundary: Linear ring: gml:posList: 17.64402 -98.78906 16.88866 -79.89258 30.86451 -80.02441 30.67572 -100.15137 17.64402 -98.78906 Temporal element: Temporal extent: Extent: Time period: Description: modeled period Begin date: 2012-07-01 End date: 2013-12-31 Supplemental Information: Input files: COADS Wind or flux file in NRL format. tau[en]wd zero.[ab] Annual mean wind offset file. Output files: airtmp.[ab] Surface air temperature field in degrees C. precip.[ab] Precipitation field in m/s. radflx.[ab] Radiation heat flux field in W/m2 (positive into ocean). shwflx.[ab] Short-wave radiation heat flux field in W/m2 (positive into ocean). tauewd.[ab] Surface wind stress in N/m2 (tau x, positive eastwards). taunwd.[ab] Surface wind stress in N/m2 (tau y, positive northwards). vapmix.[ab] Water vapor mixing ratio in kg/kg. wndspd.[ab] Wind speed field at 10 m in m/s. The output data sets consist of atmospheric forcing in MKS units. Heat flux is positive into the ocean. The output files consist of the COADS fields interpolated to the HYCOM grid in HYCOM 2.1 array “.a” and header “.b” format. |The model is a finite difference forward integration in time. The numerical model is the Navy Coastal Ocean Model (NCOM) (Barron, C.N., A.B. Kara, P.J. Martin, and R.C. Rhodes (2006), Formulation, implementation and examination of the vertical coordinate choices in the Global Navy Coastal Ocean Model (NCOM), Ocean Modelling, 11, 347-375.). A single-nested domain is constructed for the experiment covering the entire Gulf of Mexico. The domain is forced by boundary conditions from the operational global NCOM (Barron, C.N., A.B. Kara, P.J. Martin, and R.C. Rhodes (2006), Formulation, implementation and examination of the vertical coordinate choices in the Global Navy Coastal Ocean Model (NCOM), Ocean Modelling, 11, 347-375.). The vertical setup is uses with 34 sigma levels >and 16 Z levels beneath (50 total levels). Sigma levels cover the surface to 550m depth, and the Z levels cover the lower water column. The thinnest layer at the surface has a thickness of 0.5m, and deeper layers telescope to the thickest sigma layer of 85m at a depth of 510m. The high resolution in the surface is intended to properly represent submesoscale physics. Both model experiments are forced by the same atmospheric conditions from the Navy Operational Global Atmospheric Prediction System (Rosmond, T. E., J. Teixeira, M. Peng, T. F. Hogan and R. Pauley (2002), Navy Operational Global Atmospheric Prediction System (NOGAPS): Forcing for ocean models, Oceanography, 15, 99–108; J.S. Goerss (2009), Impact of satellite observations on the tropical cyclone track forecasts of the navy operational global atmospheric prediction system, Mon. Weather Rev., 137.) The surface wind stress is determined from the atmospheric model wind velocity. Surface heat fluxes are computed using bulk flux formulations that use the 10-m air-temperature and humidity along with the ocean model SST. Tidal potential forcing is applied to the inner domain, and tidal boundary conditions for water level and barotropic velocity are provided by the Oregon State University global Ocean Tide Inverse Solution (OTIS) (Egbert, G. D., and S. Y. Erofeeva (2002), Efficient inverse modeling of barotropic ocean tides. J. Atmos. Oceanic Tec., 19, 183-204.). Thus, locally generated internal tides are present in the model. Data assimilation is used to produce similar mesoscale structure in the experiment. In the analysis cycle each day, all data over the 24 hours prior to 00Z for the present day are used in the analysis. The analysis is accomplished through a 3D variational (3DVar) approach (Cummings, J.A., 2005: Operational multivariate ocean data assimilation. Quart. J. Roy. Met. Soc. 131, 3583-3604.). Observation increments are computed by differencing observation values and model forecasts at the same time. The analysis increment is inserted into a 24 hour hindcast by rerunning the model over the prior 24 hours and adding the analysis divided by the number of time steps to the state variables throughout the 24 hour hindcast. This represents a correction to the slowly evolving state field rather than resetting the initial condition at 00Z. Direct insertion of the corrections and resetting the initial conditions can generate spurious internal and inertial waves that, in ocean models, require several days to damp out. The 24 hour forecast then provides the background for the next assimilation cycle. The horizontal covariance length scales used are based on latitudinally varying Rossby radius of deformation and vertical scales are based vertical gradients. The Rossby radius varies from 80 km at the southern extent of the domain to 31 km at the northern extent. A factor of 0.82 is used to scale the Rossby radius to provide the decorrelation length scales in the MVOI resulting in an average decorrelation scale of 45 km. Satellite SSH and SST observations are used to construct synthetic profiles through subsurface covariances (Fox, D. N., C. N. Barron, M. R. Carnes, M. Booda, G. Peggion and J. V. Gurley (2002), The Modular Ocean Data Assimilation System, Oceanography, 15, 22-28.) which are used in the 3DVar. Rosmond, T. E., J. Teixeira, M. Peng, T. F. Hogan and R. Pauley (2002), Navy Operational Global Atmospheric Prediction System (NOGAPS): Forcing for ocean models, Oceanography, 15, 99–108. Barron, C.N., A.B. Kara, R.C. Rhodes, C. Rowley and L.F. Smedstad (2007), Validation Test Report for the 1/8 Global Navy Coastal Ocean Model Nowcast/Forecast System, NRL Tech Report NRL/MR/7320--07-9019, Naval Research Laboratory, Washington, DC. P. J. Martin, C. N. Barron, L. F. Smedstad, T. J. Campbell, A. J. Wallcraft, R. C. Rhodes, C. Rowley, T. L. Townsend and S. N. Carroll, 2009: User's Manual for the Navy Coastal Ocean Model (NCOM) version 4.0 NRL Report NRL/MR/7320--09-9151 P. J. Martin, C. N. Barron, L. F. Smedstad, A. J. Wallcraft, R C. Rhodes, T. J. Campbell, C. Rowley and S. N. Carroll, 2008: Software Design Description for the Navy Coastal Ocean Model (NCOM) Version 4.0 NRL Report NRL/MR/7320--08-9149 |||P. J. Martin, J. W. Book, D. M. Burrage, C. D. Rowley and M. Tudor, 2009: Comparison of model-simulated and observed currents in the central Adriatic during DART Journal of Geophysical Research vol 114, C01S05, doi:10.1029/2008JC004842 A. B. Kara, C. N. Barron, P. J. Martin, L. F. Smedstad and R. C. Rhodes, 2006: Validation of interannual simulations from the 1/8 degree global Navy Coastal Ocean Model (NCOM) Ocean Modelling vol 11, 376-398 P. J. Martin, P. J. Hogan and J. G. Richman, 2013: Comparison of 1-D and 3-D Simulations of Upper-Ocean Structure Observed at the Hawaii Ocean Time Series Mooring NRL Report NRL/MR/7320--13-9443 P. J. Martin, E. Rogers, R. A. Allard, P. J. Hogan and J. G. Richman, 2012: Results from Tests of Direct Wave Mixing in the Ocean's Surface Mixed Layer NRL Report NRL/FR/7320--12-10216 |P. J. Martin, C. N. Barron, L. F. Smedstad, T. J. Campbell, A. J. Wallcraft, R. C. Rhodes, C. Rowley, T. L. Townsend and S. N. Carroll, 2009: User's Manual for the Navy Coastal Ocean Model (NCOM) version 4.0 NRL Report NRL/MR/7320--09-9151 P. J. Martin, C. N. Barron, L. F. Smedstad, A. J. Wallcraft, R C. Rhodes, T. J. Campbell, C. Rowley and S. N. Carroll, 2008: Software Design Description for the Navy Coastal Ocean Model (NCOM) Version 4.0 NRL Report NRL/MR/7320--08-9149
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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 Version: inapplicable File decompression technique: gz, tar Distributor transfer options: Digital transfer options: Transfer size: 72854.0315 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R1.x134.114:0001 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: R1.x134.114:0001 on 2018-12-13T15:12:44+00:00
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Publications:

Jacobs, G. A., Bartels, B. P., Bogucki, D. J., Beron-Vera, F. J., Chen, S. S., Coelho, E. F., … Wei, M. (2014). Data assimilation considerations for improved ocean predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD). Ocean Modelling, 83, 98–117. doi:10.1016/j.ocemod.2014.09.003

Huntley, H. S., Lipphardt, B. L., Jacobs, G., & Kirwan, A. D. (2015). Clusters, deformation, and dilation: Diagnostics for material accumulation regions. Journal of Geophysical Research: Oceans, 120(10), 6622–6636. doi:10.1002/2015jc011036

Jacobs, G. A., Huntley, H. S., Kirwan, A. D., Lipphardt, B. L., Campbell, T., Smith, T., … Bartels, B. (2016). Ocean processes underlying surface clustering. Journal of Geophysical Research: Oceans, 121(1), 180–197. doi:10.1002/2015jc011140

Wei, M., Jacobs, G., Rowley, C., Barron, C. N., Hogan, P., Spence, P., … Coelho, E. (2016). The performance of the US Navy’s RELO ensemble, NCOM, HYCOM during the period of GLAD at-sea experiment in the Gulf of Mexico. Deep Sea Research Part II: Topical Studies in Oceanography, 129, 374–393. doi:10.1016/j.dsr2.2013.09.002

Beron-Vera, F. J., & LaCasce, J. H. (2016). Statistics of Simulated and Observed Pair Separations in the Gulf of Mexico. Journal of Physical Oceanography, 46(7), 2183–2199. doi:10.1175/jpo-d-15-0127.1

Beron-Vera, F. J., Hadjighasem, A., Xia, Q., Olascoaga, M. J., & Haller, G. (2018). Coherent Lagrangian swirls among submesoscale motions. Proceedings of the National Academy of Sciences, 201701392. doi:10.1073/pnas.1701392115

Beron-Vera, F. J., Olascoaga, M. J., Wang, Y., Triñanes, J., & Pérez-Brunius, P. (2018). Enduring Lagrangian coherence of a Loop Current ring assessed using independent observations. Scientific Reports, 8(1). doi:10.1038/s41598-018-29582-5