Library Digital Collections

Data from: Mechanisms of heat flux across the Southern Greenland continental shelf in 1/10° and 1/12° ocean/sea ice simulations

View Collection Items

Collections »

Data from: Mechanisms of heat flux across the Southern Greenland continental shelf in 1/10° and 1/12° ocean/sea ice simulations

About this collection

Extent

1 digital object.

Cite This Work

Morrison, Theresa J.; Dukhovskoy, Dmitry S.; McClean, Julie L.; Gille, Sarah T.; Chassignet, Eric P. (2023). Data from: Mechanisms of heat flux across the Southern Greenland continental shelf in 1/10° and 1/12° ocean/sea ice simulations. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0319W2S

Description

Volume and heat fluxes across the Greenland continental shelf in two eddy-active coupled ocean/sea-ice simulations. Daily time series of the fluxes are provided at each point along the transect for the period 2005-2009. These data come from coupled ocean/sea-ice simulations that were forced with atmospheric reanalysis fields.

Date Collected
  • 2005 to 2009
Date Issued
  • 2023
Author
Principal Investigators
Researcher
Funding

T.J. Morrison, J.L. McClean and S.T. Gille were funded by DOE Office of Science grants: DE-SC0014440 and DE-SC0020073. D. Dukhovskoy and E. Chassignet were funded by the DOE award DE‐SC0014378 and HYCOM NOPP (award N00014‐15‐1‐2594). The HYCOM‐CICE simulations were supported by a grant of computer time from the DoD High‐Performance Computing Modernization Program at NRL SSC. The POP/CICE simulation was run with a National Center for Atmospheric Research Climate Simulation Laboratory (CSL) allocation on Yellowstone (ark:/85065/d7wd3xhc), sponsored by the National Science Foundation. Some POP/CICE analyses were carried out using Rhea in the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory.

Geographics
Topics

Formats

View formats within this collection

Language
  • English
Identifier

Identifier: Dmitry S. Dukhovskoy: https://orcid.org/0000-0002-9114-9796

Identifier: Eric P. Chassignet: https://orcid.org/0000-0003-4710-7502

Identifier: Julie L. McClean: https://orcid.org/0000-0002-8221-2714

Identifier: Sarah T. Gille: https://orcid.org/0000-0001-9144-4368

Identifier: Theresa J. Morrison: https://orcid.org/0000-0001-7734-9444

Related Resources

    Primary associated publication

    • Morrison, T. J., Dukhovskoy, D. S., McClean, J. L., Gille, S. T., & Chassignet, E. P. (2023). Mechanisms of heat flux across the southern Greenland continental shelf in 1/10° and 1/12° ocean/sea ice simulations. Journal of Geophysical Research: Oceans, 128, e2022JC019021. https://doi.org/10.1029/2022JC019021

    Source data

    Reference

    • Bleck, R. (2002). An oceanic general circulation model framed in hybrid isopycnic- Cartesian coordinates. Ocean modelling, 4(1), 55–88. https://doi.org/10.1016/S1463-5003(01)00012-9
    • Chassignet, E. P., Hurlburt, H. E., Smedstad, O. M., Halliwell, G. R., Hogan, P. J., Wallcraft, A. J., . . . Bleck, R. (2007). The HYCOM (HYbrid Coordinate Ocean Model) data assimilative system. Journal of Marine Systems, 65(1-4), 60–83. https://doi.org/10.1016/j.jmarsys.2005.09.016
    • Chassignet, E. P., Smith, L. T., Halliwell, G. R., & Bleck, R. (2003). North atlantic simulations with the HYbrid Coordinate Ocean Model (HYCOM): Impact of the vertical coordinate choice, reference density, and thermobaricity. Journal of Physical Oceanography, 33, 2504–2526. https://doi.org/10.1175/1520-0485(2003)033<2504:NASWTH>2.0.CO;2
    • Dukowicz, J. K., & Smith, R. D. (1994). Implicit free-surface method for the Bryan- Cox-Semtner ocean model. Journal of Geophysical Research: Oceans, 99(C4), 7991–8014. https://doi.org/10.1029/93JC03455
    • Hunke, E. C., Lipscomb, W. H., Turner, A. K., Jeffery, N., & Elliott, S. (2010). CICE: the Los Alamos Sea Ice Model Documentation and Software User’s Manual Version 4.1 LA-CC-06-012. T-3 Fluid Dynamics Group, Los Alamos National Laboratory, 675.
    • Hurrell, J. W., Holland, M. M., Gent, P. R., Ghan, S., Kay, J. E., Kushner, P. J., et al. (2013). The Community Earth System Model: A framework for collaborative research. Bulletin of the American Meteorological Society, 94(9), 1339–1360. https://doi.org/10.1175/BAMS-D-12-00121.1
    • Large, W. G., & Yeager, S. (2009). The global climatology of an interannually vary- ing air–sea flux data set. Climate dynamics, 33(2-3), 341–364. https://doi.org/10.1007/s00382-008-0441-3
    • McClean, J. L., Bader, D. C., Maltrud, M. E., Evans, K. J., Taylor, M., Tang, Q., ... Mahajan, S. (2018). High-resolution fully-coupled ACME v0.1 approximate present day transient climate simulations. (Ocean Sciences Meeting 2018, 12-16/February, Portland/OR. Abstract ID: OM44C-2143.) https://agu.confex.com/agu/os18/meetingapp.cgi/Paper/315049
    • Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., . . . others (2010). The NCEP climate forecast system reanalysis. Bulletin of the American Meteorological Society, 91(8), 1015–1058. https://doi.org/10.1175/2010BAMS3001.1
    • Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., . . . others (2014). The NCEP climate forecast system version 2. Journal of climate, 27(6), 2185– 2208. https://doi.org/10.1175/JCLI-D-12-00823.1