Data supporting Double-diffusive transport in multicomponent vertical convection

This repository contains post-processing Jupyter notebooks used to construct figures from the manuscript. The manuscript has been accepted for publication in Physical Review Fluids and is available on arXiv at https://arxiv.org/abs/2207.09230

The files provided are as follows

• collect_profiles.ipynb
  • This notebook creates the datasets stored in base_profiles.csv and ref_profiles.csv from the simulation output. This simulation output (consisting of time series of 1D profiles for various statistical quantities) is freely available on the 4TU ResearchData repository at https://doi.org/10.4121/21679772. Without this data, this notebook will fail to run.
• base_profiles.csv and ref_profiles.csv
  • These CSV formatted datasets are the output from the collect_profiles notebook. They contain time averaged profiles of a range of statistical quantities used by the remaining notebooks.
• afidtools
  • This directory contains a small Python package containing helper functions for accessing and manipulating the simulation output.
• fig2_active_passive.ipynb
  • Reconstructs figure 2 using the data provided. Compares simulations where temperature is a passive scalar with those where temperature contributes to the buoyancy.
• fig4_5_6_fluxes_BLs_and_diffusivity.ipynb
  • Reconstructs figures 4, 5, and 6 from the data provided. These present data about the global fluxes, boundary layer widths, and turbulent diffusivities.
• fig8_melt_rate_dependence.ipynb
  • Reconstructs figure 8, highlighting the theoretical dependence of melt rate on the heat-to-salt flux ratio.
• fig9_variance_budgets.ipynb
  • Reconstructs the appendix figure (9), describing the budgets for the evolution of temperature variance
• sec3A_linear_nonlinear.ipynb
  • This final notebook discusses the potential errors associated with using a linear equation of state as compared to the nonlinear equation of state provided by the gsw toolbox.

Prerequisites

To run these notebooks successfully, you need a recent version of Python, along with a Jupyter installation, and the packages listed in requirements.txt.