Labrador Sea Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

(MITgcm_LLC4320_Pre-SWOT_JPL_L4_LabradorSea_v1.0)
Version1.0
Processing Level4
Start/Stop Date2011-Sep-13 to 2012-Nov-15
Short NameMITgcm_LLC4320_Pre-SWOT_JPL_L4_LabradorSea_v1.0
DescriptionThis dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the Labrador Sea region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.
DOI10.5067/PRESW-LSJ10
MeasurementOCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE
OCEANS > SALINITY/DENSITY > SALINITY
OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS
OCEANS > OCEAN CIRCULATION > FRESH WATER FLUX
OCEANS > OCEAN HEAT BUDGET > HEAT FLUX
Platform/Sensor
MITgcm
Platform
Name: Massachusetts Institute of Technology General Circulation Model (MITgcm)
/
Computer
SENSOR
Name: Computer (Computer)

Data ProviderPublisher: PO.DAAC
Creator: Menemenlis, D., Hill, C., Henze, C. E., Wang, J., & Fenty, I.
Release Place: PO.DAAC
Release Date: 2021-Feb-10

FormatnetCDF-4
Keyword(s)EARTH SCIENCE SERVICES > MODELS > EARTH SCIENCE MODELS
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 2 Kilometers x 2 Kilometers
Temporal Resolution: Hourly - < Daily
 
Coverage
Region: ATLANTIC OCEAN
North Bounding Coordinate: 63.79824 degrees
South Bounding Coordinate: 59.5549 degrees
West Bounding Coordinate: -63.61784 degrees
East Bounding Coordinate: -58.52856 degrees
Time Span: 2011-Sep-13 to 2012-Nov-15
 
Projection
Ellipsoid: WGS 84
 
NameLong NameUnit
Depthmodel seafloor depth below ocean surface at restm
DXCcell_x_size_at_u_locationm
DXGcell_x_size_at_v_locationm
DXVcell_x_size_at_f_locationm
DYCcell_y_size_at_v_locationm
DYGcell_y_size_at_u_locationm
DYUcell_y_size_at_f_locationm
EtaModel sea level anomalym
igrid index in x for variables at tracer and 'v' locations
i_ggrid index in x for variables at 'u' and 'g' locations
jgrid index in y for variables at tracer and 'u' locations
j_ggrid index in y for variables at 'v' and 'g' locations
kgrid index in z for tracer variables
k_lgrid index in z for variables at upper 'w' location
k_p1grid index in z for variables at upper 'w' location
k_ugrid index in z for variables at lower 'w' location
KPPhblOcean mixed layer thickness defined by mixing schemem
nbgrid index for coordinate bounds
oceFWflxNet freshwater flux into the oceankg m-2 s-1
oceQnetNet heat flux into the ocean surfaceW m-2
oceQswNet shortwave radiative flux across the ocean surfaceW m-2
oceSfluxwater_flux_into_sea_waterg m-2 s-1
oceTAUXOcean surface stress in the model +x directionN m-2
oceTAUYOcean surface stress in the model +y directionN m-2
PhiBotOcean hydrostatic bottom pressure anomalym2 s-2
RAZvertical face area of vorticity pointsm2
SaltSalinity1e-3
ThetaPotential temperature degree_C
timetimehours since 2011-01-01 00:00:00
UHorizontal velocity in the model +x directionm s-1
VHorizontal velocity in the model +y directionm s-1
WVertical velocitym s-1
XClongitude of tracer grid cell centerdegrees_east
XC_bndslongitudes of tracer grid cell corners
XGlongitude of 'southwest' corner of tracer grid celldegrees_east
YClatitude of tracer grid cell centerdegrees_north
YC_bndslatitudes of tracer grid cell corners
YGlatitude of 'southwest' corner of tracer grid celldegrees_north
Zdepth of tracer grid cell centerm
Z_bndsdepths of tracer grid cell upper and lower interfaces
Zldepth of tracer grid cell upper interfacem
Zp1depth of tracer grid cell interfacem
Zudepth of tracer grid cell lower interfacem
Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation Menemenlis, D., Hill, C., Henze, C. E., Wang, J., & Fenty, I.. 2021. Labrador Sea Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/PRESW-LSJ10

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For more information see Data Citations and Acknowledgments.

Journal Reference Yu, X., Ponte, A. L., Elipot, S., Menemenlis, D., Zaron, E. D., & Abernathey, R.. 2019. Surface kinetic energy distributions in the global oceans from a high‐resolution numerical model and surface drifter observations, Geophysical Research Letters, 46, 16. 10.1029/2019gl083074

Torres, H. S., Klein, P., Menemenlis, D., Qiu, B., Su, Z., Wang, J., et al.. 2018. Partitioning ocean motions into balanced motions and internal gravity waves: A modeling study in anticipation of future space missions, Journal of Geophysical Research: Oceans, 123, 11. 10.1029/2018JC014438

Arbic, B. K., et al.. 2018. A primer on global internal tide and internal gravity wave continuum modeling in HYCOM and MITgcm., New Frontiers in Operational Oceanography. 10.17125/gov2018.ch13

Su, Z., Wang, J., Klein, P., Thompson, A. F., & Menemenlis, D.. 2018. Ocean submesoscales as a key component of the global heat budget, Nature Communications, 9, 1. 10.1038/s41467-018-02983-w

Wang, J., Fu, L., Qiu, B., Menemenlis, D., Farrar, J. T., Chao, Y., Thompson, A. F., & Flexas, M. M.. 2018. An Observing System Simulation Experiment for the Calibration and Validation of the Surface Water Ocean Topography Sea Surface Height Measurement Using In Situ Platforms, Journal of Atmospheric and Oceanic Technology, 35, 2. 10.1175/jtech-d-17-0076.1

Rocha, C. B., Chereskin, T. K., Gille, S. T., & Menemenlis, D.. 2016. Mesoscale to submesoscale wavenumber spectra in Drake Passage, Journal of Physical Oceanography, 46, 2. 810.1175/JPO-D-15-0087.1