README: Wave-induced mixing in a numerical wave flume

https://doi.org/10.5061/dryad.80gb5mkqw

The dataset covers numerical results of wave-induced vertical mixing and Matlab scripts for solution of advection-diffusion equation with a weakly-nonlinear input.

Author: Maciej Paprota, Institute of Hydro-Engineering, Polish Academy of Sciences, Kościerska 7, 80-328 Gdańsk, Poland, mapap@ibwpan.gda.pl
The dataset serves as a supplementary material to:
https://esd.copernicus.org/preprints/esd-2022-27/

Desription of the data and file structure

The *.dat files contain data used to prepare figures in the article linked to this dataset i.e.:

a) initial conditions for starting-up an advection-diffusion numerical model:

- ini_temp_profile.dat: initial temparature profile along the water depth;
the colums are:
1^st column - temperature (^oC;
2^nd column - relative water depth (z/h);

- ini_temp_space.dat: initial temperature spatial distribution in a wave flume;
h - water depth; x - horizontal coordinate; z - vertical coordinate;
the columns are:
1^st column - relative horizontal distance from the wavemaker (x/h);
2^nd column - relative water depth (z/h);
3^rd column - temperature (^oC);

You can use the script temp_ini_plots.m (on Zenodo) to plot the data and see more details on the data structure.

b) temperature and velocity fields in a wave flume:

\weakly_temp_kh[water_depth conditions]_Hh[wave_steepness].dat: temperature field for weakly-nonlinear model

\weakly_vel_kh[water_depth conditions]_Hh[wave_steepness].dat: velocity field for weakly-nonlinear model

\LMTV_temp_kh[water_depth conditions]_Hh[wave_steepness].dat: temperature field for fully-nonlinear model based on Lagrangian mean transport velocity

\LMTV_vel_kh[water_depth conditions]_Hh[wave_steepness].dat: Lagrangian mean transport velocity field for fully-nonlinear model

\EMTV_vel_kh[water_depth conditions]_Hh[wave_steepness].dat: Eulerian mean transport velocity field for fully-nonlinear model

the columns for temperature (temp) files are:
1^st column - relative horizontal distance from the wavemaker (x/h);
2^nd column - relative water depth (z/h);
3^rd column - temperature (^oC);

the columns for velocity (vel) files are:
1^st column - relative horizontal distance from the wavemaker (x/h);
2^nd column - relative water depth (z/h);
3^rd column - horizontal velocity component (m/s);
4^th column - vertical velocity component (m/s);

- u_profile_kh[water_depth conditions]: vertical velocity profile (along the depth) from a weakly-nonlinear theory;
the colums are:
1^st column - horizontal velocity component (m/s);
2^nd column - relative water depth (z/h);

[water_depth conditions] = 05, 10, 20 refer to kh = 0.5, 1.0, 2.0, respectively,
[wave_steepness] = 005, 010, 020 refeer to Hh = 0.05, 0.10, 0.20, respectively, where
k - wave number; h water depth; H - wave height;

You can use the scripts vel_field_plots.m, vel_field_diff_plots.m and temp_field_plots.m (on Zenodo) to plot the data and see more details on the data strructure.

c) MatLab scripts for plotting the *.dat files (on Zenodo):
- temp_field_ini_plots.m - plots initial values of temperature (profile and space);
- temp_field_plots.m - plots calculated temperature fields;
- vel_field_diff_plots.m - plots calculated differences between velocity fields;
- vel_field_plots.m - plots calculated velocity fields;

d) Matlab scripts of an advection-diffusion modelling of wave-induced vertical mixing:
- heat2D_RK4.m - main program and working example using weakly nonlinear theory as an input;
- remaining *.m scripts are functions used in the main program.

For more information inspect the scripts, where a large number of comments provides a guidance how the code works with relevant references to equations.

No other locations of the dataset are available.