Work Description

Title: Near-surface oceanic kinetic energy distributions from drifter observations and numerical models Open Access Deposited

h
Attribute Value
Methodology
  • We compare the low-frequency (< 0.5 cpd), near-inertial (0.9-1.1 f), diurnal (0.9-1.1 cpd), and semi-diurnal (1.9-2.1 cpd) kinetic energy (KE) at the surface (0 m) and 15 m depth in simulations of the HYbrid Coordinate Ocean Model (HYCOM),  https://www.hycom.org/, and the Massachusetts Institute of Technology general circulation model (MITgcm),  https://mitgcm.readthedocs.io/en/latest/, to KE observations from undrogued and drogued drifters, respectively.  We compare absolute KE levels as well as the vertical structure of KE, defined here as the ratio of undrogued to drogued drifter KE and the ratio of 0 m to 15 m KE in the two simulations.
Description
  • The datafiles and Matlab code files in this repository contain the information needed to produce the figures in the paper. We also include the code used to process the raw model output files into spectra.
Creator
Depositor
  • arbic@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
ORSP grant number
  • OCE-1851164
Citations to related material
  • B.K. Arbic, S. Elipot, J.M. Brasch, D. Menemenlis, A.L. Ponte, J.F. Shriver, X. Yu, E.D. Zaron, M.H. Alford, M.C. Buijsman, R. Abernathey, D. Garcia, L. Guan, P.E. Martin, and A.D. Nelson (2022), Near-surface oceanic kinetic energy distributions from drifter observations and numerical models. In review.
Resource type
Curation notes
  • Changed the title of the data set from "Frequency dependence of near-surface oceanic kinetic energy from drifter observations and global high-resolution models" to "Near-surface oceanic kinetic energy distributions from drifter observations and numerical models" on September 15, 2022. The title change was requested by depositor based on feedback from a peer reviewer.
Last modified
  • 11/18/2022
Published
  • 02/15/2022
DOI
  • https://doi.org/10.7302/ptg7-yw20
License
To Cite this Work:
Arbic, B., Elipot, S., Menemenlis, D., Shriver, J. (2022). Near-surface oceanic kinetic energy distributions from drifter observations and numerical models [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/ptg7-yw20

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Files (Count: 7; Size: 1.66 GB)

To make the figures in the paper, start by making a top level directory.
Within this directory, unzip the four zip files:

FIGURES_CODE.zip: zip file containing the main plotting code arbic_et_al_2022_figures.m and 7 auxiliary files

DRIFTERS_RESULTS_AND_README.zip: zip file of DRIFTER results plus README description of results and analysis performed to reach the results
HYCOM_ANALYSISCODE_RESULTS_AND_README.zip: zip file of HYCOM results plus README description of analysis performed to reach the results
MITgcm_ANALYSISCODE_RESULTS_AND_README.zip: zip file of MITgcm results plus README description of analysis performed to reach the results

These zip files will create their own directories within
the parent directory. The main figure plotting code
arbic_et_al_2022_figures.m uses a variable "path_repo = ../."
to these other directories.

The code arbic_et_al_2022_figures should then run and plot
the figures, as long as the jlab and cmocean packages are installed
and in your Matlab path (as described at the top of the code). Commands
to print the figures are not currently in the plotting code, but can easily
be added.

There are two additional README files, with self-explanatory names:
README_HYCOM_MITgcm_FINALRESULTS
README_RAW_HYCOM_OUTPUT



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