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)Version | 1.0 |
Processing Level | 4 |
Start/Stop Date | 2011-Sep-13 to 2012-Nov-15 |
Short Name | MITgcm_LLC4320_Pre-SWOT_JPL_L4_LabradorSea_v1.0 |
Description | This 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. |
DOI | 10.5067/PRESW-LSJ10 |
Measurement | OCEANS > 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 Provider | Publisher: PO.DAAC Creator: Menemenlis, D., Hill, C., Henze, C. E., Wang, J., & Fenty, I. Release Place: PO.DAAC Release Date: 2021-Feb-10 |
Format | netCDF-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 |
DIRECT ACCESS | |
Browse Granule Listing | |
Search Granules | |
DIRECT S3-ACCESS | |
Available for access in-region with AWS Cloud | |
Region | |
us-west-2 | |
podaac-ops-cumulus-protected/MITgcm_LLC4320_Pre-SWOT_JPL_L4_LabradorSea_v1.0/ | |
podaac-ops-cumulus-public/MITgcm_LLC4320_Pre-SWOT_JPL_L4_LabradorSea_v1.0/ | |
AWS S3 Credentials | |
Get AWS S3 Credentials | Documentation |
Name | Long Name | Unit |
---|---|---|
Depth | model seafloor depth below ocean surface at rest | m |
DXC | cell_x_size_at_u_location | m |
DXG | cell_x_size_at_v_location | m |
DXV | cell_x_size_at_f_location | m |
DYC | cell_y_size_at_v_location | m |
DYG | cell_y_size_at_u_location | m |
DYU | cell_y_size_at_f_location | m |
Eta | Model sea level anomaly | m |
i | grid index in x for variables at tracer and 'v' locations | |
i_g | grid index in x for variables at 'u' and 'g' locations | |
j | grid index in y for variables at tracer and 'u' locations | |
j_g | grid index in y for variables at 'v' and 'g' locations | |
k | grid index in z for tracer variables | |
k_l | grid index in z for variables at upper 'w' location | |
k_p1 | grid index in z for variables at upper 'w' location | |
k_u | grid index in z for variables at lower 'w' location | |
KPPhbl | Ocean mixed layer thickness defined by mixing scheme | m |
nb | grid index for coordinate bounds | |
oceFWflx | Net freshwater flux into the ocean | kg m-2 s-1 |
oceQnet | Net heat flux into the ocean surface | W m-2 |
oceQsw | Net shortwave radiative flux across the ocean surface | W m-2 |
oceSflux | water_flux_into_sea_water | g m-2 s-1 |
oceTAUX | Ocean surface stress in the model +x direction | N m-2 |
oceTAUY | Ocean surface stress in the model +y direction | N m-2 |
PhiBot | Ocean hydrostatic bottom pressure anomaly | m2 s-2 |
RAZ | vertical face area of vorticity points | m2 |
Salt | Salinity | 1e-3 |
Theta | Potential temperature | degree_C |
time | time | hours since 2011-01-01 00:00:00 |
U | Horizontal velocity in the model +x direction | m s-1 |
V | Horizontal velocity in the model +y direction | m s-1 |
W | Vertical velocity | m s-1 |
XC | longitude of tracer grid cell center | degrees_east |
XC_bnds | longitudes of tracer grid cell corners | |
XG | longitude of 'southwest' corner of tracer grid cell | degrees_east |
YC | latitude of tracer grid cell center | degrees_north |
YC_bnds | latitudes of tracer grid cell corners | |
YG | latitude of 'southwest' corner of tracer grid cell | degrees_north |
Z | depth of tracer grid cell center | m |
Z_bnds | depths of tracer grid cell upper and lower interfaces | |
Zl | depth of tracer grid cell upper interface | m |
Zp1 | depth of tracer grid cell interface | m |
Zu | depth of tracer grid cell lower interface | m |
USER'S GUIDE | |
| |
READ-ME | |
DATA RECIPE | |
|
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
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 |