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

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.

• 2005 to 2009

• 2023

• Morrison, Theresa J.

• Chassignet, Eric P.
• Gille, Sarah T.
• McClean, Julie L.

• Dukhovskoy, Dmitry S.

Data comes from two simulations. The POP output is from a global 62-year (1948-2009) simulation of POP version 2 (Dukowicz & Smith, 1994) and the Community Ice Code version 4 (CICE4; Hunke et al., 2010) coupled together in the Community Earth System Model (CESM; Hurrell et al., 2013) version 1.2 framework (McClean et al., 2018). The atmospheric forcing is given by the Coordinated Ocean-ice Reference Experiment–II (CORE-II) corrected interannually varying fluxes (CIAF; Large & Yeager, 2009). The HYCOM simulation is conducted using regional 0.08◦ Arctic Ocean (Bleck, 2002; Chassignet et al., 2003, 2007) domain run with the HYbrid Coordinate Ocean Model (HYCOM) coupled to CICE4. Atmospheric forcing fields are obtained from the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR, horizontal resolution of 38 km) (Saha et al., 2010) for 1993–2011 and CFSv2 (Saha et al., 2014) for 2012–2016.

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.

• Greenland
• North Atlantic
• Subpolar North Atlantic

• Continental shelf break
• Heat flux
• Heat transport
• Volume flux
• Volume transport

• data
• text

• English

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

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

• Corrected inter-annual forcing (ciaf) version 2.0, NOAA Geophysical Fluid Dynamics Laboratory https://data1.gfdl.noaa.gov/nomads/forms/core/COREv2/CIAF_v2.html
• Saha, S., et al. 2010. NCEP Climate Forecast System Reanalysis (CFSR) Selected Hourly Time-Series Products, January 1979 to December 2010. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6513W89

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

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2023-02-15