Related Experiment Video
Updated: Oct 27, 2025
09:19
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
Published on: April 18, 2025
953
A multi-site, year-round turbulence microstructure atlas for the deep perialpine Lake Garda
Sebastiano Piccolroaz1,2,3, Bieito Fernández-Castro4,5, Marco Toffolon6
1Ecole Polytechnique Fédérale de Lausanne, Physics of Aquatic Systems Laboratory, Margaretha Kamprad Chair, School of Architecture, Civil and Environmental Engineering, Lausanne, CH-1015, Switzerland. s.piccolroaz@unitn.it.
Scientific Data
|July 23, 2021
Summary
A comprehensive dataset of Lake Garda turbulence and temperature profiles is now available. This valuable resource aids research into aquatic mixing and hydrodynamic model validation.
Area of Science:
- Environmental Science
- Fluid Dynamics
- Limnology
Background:
- Understanding turbulent mixing in lakes is crucial for ecosystem health and water resource management.
- High-resolution data on turbulence and temperature gradients are essential for accurate lake modeling.
Purpose of the Study:
- To present a novel, multi-site, year-round dataset of turbulence microstructure profiles for Lake Garda.
- To facilitate research on seasonal and spatial variability of turbulent mixing in a large lake.
- To support the validation of hydrodynamic lake models.
Main Methods:
- Collected 606 high-resolution turbulence microstructure profiles (shear and temperature gradient) in the upper 100m of Lake Garda.
- Conducted monthly fieldwork campaigns over 15 months (March 2017-June 2018) across four distinct sites.
- Integrated turbulence data with concurrent meteorological and water quality measurements.
Main Results:
- Developed a unique turbulence atlas for Lake Garda, merging microstructure, water quality, and meteorological data.
- The dataset captures turbulence variability driven by factors like lake-valley breezes and convection.
- Data quality was ensured through rigorous estimation and checking procedures.
Conclusions:
- The released dataset provides an unprecedented resource for studying lake turbulence dynamics.
- It enables investigations into the drivers of turbulent mixing across various spatial and temporal scales.
- The data is vital for advancing the accuracy and application of hydrodynamic lake models.
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