Quantifying turbulent mixing in plunging river inflows: Revelations from field measurements in Lake Geneva - supporting data and scripts

This folder includes raw and treated data resulting from measurements performed in the near-field zone of the Rhône River mouth in Lake Geneva, as well as MATLAB scripts that can be used for their analysis. The raw data folder includes ADCP measurement data of the velocity field and signal backscatter along a grid of transverse and longitudinal transects of the plunging hyperpycnal Rhône River inflow into Lake Geneva for 6 measurement campaigns (23 November 2017, 9 March 2019, 23 June 2019, 24 June 2019, 26 June 2019 and 11 July 2019). The treated data folder includes processed lake, river and inflow data (temperature, discharge, salinity, sediment concentration, density, Froude number, relative density difference and densimetric Froude number) that was based on data originally generated by the Commission Internationale pour la Protection des Eaux du Léman (CIPEL; Rimet et al., 2020) at the monitoring station SHL2 and the Swiss Federal Office for the Environment (FOEN) at the monitoring station at Porte du Scex (https://www.hydrodaten.admin.ch/de/2009.html).

These datasets were reported in the paper "Quantifying turbulent mixing in plunging river inflows: Revelations from field measurements in Lake Geneva" and can be downloaded here for validation and further analysis. The scripts used to open, treat and visualize the data as they are in the paper are included, as well as the figures included in the paper and the processed data visualized in the figures. The structure and contents of the folders are described in the README file. In order to run the scripts (.m) and open some of the treated data (.mat) successfully, the MATLAB software package is necessary. The MATLAB scripts are based on and include scripts from the adcptools software package (Bart Vermeulen, 2015; Vermeulen et al., 2014; https://sourceforge.net/projects/adcptools/). The MATLAB version used for the data treatment is MATLAB R2022a.

All data are protected under the Creative Commons Attribution 4.0 International license. All scripts are protected under the GNU General Public License v3.0 (or later).