Two-dimensional Numerical Simulations of Mixing under Ice Keels Data

This deposition contains time series of relevant outputs from the ice keel simulations. These include: The buoyancy frequency squared (Nstar_sq) The spatially-average irreversible mixing rate (phi_d) The spatially-averaged dimensionless diapycnal diffusivity (K) The mixing depth (95% of mixing occur...

Full description

Bibliographic Details
Main Authors: De Abreu, Sam, Cormier, Rosalie M., Schee, Mikhail M., Zemskova, Varvara E., Rosenblum, Erica, Grisouard, Nicolas
Format: Other/Unknown Material
Language:English
Published: Zenodo 2024
Subjects:
Ice keel
Mixing
Arctic Ocean
Sea Ice
Sea ice
Online Access:https://doi.org/10.5281/zenodo.12627827
Description
Summary:This deposition contains time series of relevant outputs from the ice keel simulations. These include: The buoyancy frequency squared (Nstar_sq) The spatially-average irreversible mixing rate (phi_d) The spatially-averaged dimensionless diapycnal diffusivity (K) The mixing depth (95% of mixing occurs above this depth) in meters (z_mix) The relative mixing depth (z_mix_rel). This differs from the previous quantity as it is relative to the keel depth. That is, if the mixing depth was the keel height then the relative mixing depth would be 0. The files are formatted to be imported as a dictionary into a Python file via the Json package. The keys are the simulation names. The key values are a tuple with the first value being the time series and the second being an array of times at which the respective values were recorded. All values are separated into upstream and downstream files.

Similar Items