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Data from: Effect of atmospheric forcing resolution on simulated mixed layer depth in the North Pacific

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Data from: Effect of atmospheric forcing resolution on simulated mixed layer depth in the North Pacific

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1 digital object.

Cite This Work

Chen, Ru; McClean, Julie L.; Gille, Sarah T.; Yulaeva, Elena; Ivanova, Detelina P.; Cerovečki, Ivana (2021). Data from: Effect of atmospheric forcing resolution on simulated mixed layer depth in the North Pacific. UC San Diego Library Digital Collections. https://doi.org/10.6075/J09P3008

Description

This dataset contains daily output from two numerical simulations in the North Pacific domain, using the 0.1 degree Parallel Ocean Program (POP) model in the Community Climate System Model 4 framework. The atmospheric forcing in the first simulation is taken from a 0.6 degree resolution Weather Research and Forecasting (WRF) simulation, and the forcing in the second simulation is the low-pass filtered forcing used in the first experiment. Therefore, these two simulations would be valuable for potential studies evaluating the role of mesoscale atmospheric forcing on the physical state of the ocean (e.g. circulation, sea surface height and mixed layer conditions).

Scope And Content

This dataset includes forcing variables (wind stress, heat flux, and virtual salt flux), surface variables (velocities, sea surface height, temperature and salinity), mixed layer depth, boundary layer depth, etc. File names distinguish between the two sets of model runs. NPRC=North Pacific Regional Configuration; hb3=unsmoothed winds; sm4=smoothed winds, with smoothing intended to suppress high-wavenumber structures that are not included in Coordinated Ocean-ice Reference Experiments-II (CORE-II) forcing.

The two original data files released here in 2021 contained the two model outputs, NPRC_WRF06_hb3 and NPRC_WRF06_sm4. On 2023-04-06, the model outputs were rebundled into smaller components, each containing 3 months of daily fields. In addition, the following data were added: unfiltered atmospheric forcing from WRF, filtered atmospheric forcing from WRF, ocean model grid variables, and lists of variables for each data type.

Creation Date
  • 2014 to 2018
Date Issued
  • 2021
Creators
Principal Investigators
Researcher
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Note

Figure caption: Snapshots of a) unfiltered and b) filtered atmospheric surface meridional wind (m/s) from the Weather Research and Forecasting Model that were used to force the North Pacific Regional Configuration (NPRC) of the Community Climate System Model 4.

Funding

This study was supported by US Dept. of Energy (DOE), Biological and Environmental Research (BER) in the Office of Science grants: DE-SC00019933, DE-SC00013371, DE-SC0012778, DE-SC0014440, and as part of a US DOE/BER funded project entitled “Ultra-High Resolution Global Climate Simulation" via a Los Alamos National Laboratory subcontract.
This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

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Language
  • English
Identifier

Identifier: Ivana Cerovečki: https://orcid.org/0000-0001-8979-9952

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

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

Related Resource

    Reference

    • Community Climate System Model (CCSM) 4.0: https://www2.cesm.ucar.edu/models/ccsm4.0/

    • Coordinated Ocean-ice Reference Experiments-II (CORE-II IAF) fluxes: Large, W., Yeager, S., 2009. The global climatology of an interannually varying air-sea flux data set. Clim. Dyn. 33, 341-364. https://doi.org/10.1007/s00382-008-0441-3

    • Los Alamos National Laboratory Parallel Ocean Program (POP) model: Dukowicz, J.K., Smith, R.D., 1994. Implicit free-surface method for the Bryan-Cox-Semtner ocean model. J. Geophys. Res.: Oceans 99, 7991-8014. https://doi.org/10.1029/93JC03455

    • WRF simulation: Dorman, C.E., Mejia, J.F., Koraˇcin, D., 2013. Impact of US west coastline inhomogeneity and synoptic forcing on winds, wind stress, and wind stress curl during upwelling season. J. Geophys. Res.: Oceans 118, 4036–4051. https://doi.org/10.1002/jgrc.20282

Data from: Effect of atmospheric forcing resolution on simulated mixed layer depth in the North Pacific
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