the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurements of water droplets in a turbulent wind tunnel
Abstract. In order to study the behaviour of cloud droplets at the cloud-clear interface, the “Solving The Entrainment Puzzle” (STEP) project examined a droplet stream in the Turbulent Leipzig Aerosol Cloud Interaction Simulator (LACIS-T). LACIS-T comprises two particle free air streams, that are turbulently mixed, and during the experiment one air stream was resembling in-cloud conditions, whereas the other air stream was set to out-of-cloud conditions. A droplet stream was injected by a droplet generator into the mixing plane of the two air streams. Droplet size distributions were observed with a phase Doppler anemometer at various levels in the measurement section of LACIS-T, corresponding to different residence times of the droplets in the turbulent environment. Additionally, observations were made using different flow speeds in the two air streams to create shear flows in the wind tunnel. The experiment was accompanied by computational fluid dynamics simulations to provide a full 3d representation of meteorological fields and turbulence parameters.
This manuscript provides a description of the laboratory settings and instrumentation, the experimental design, the simulations, and a general overview of the data. We invite the scientific community for joint data analysis and numerical studies using the data which is freely available from the Eurochamp Data Centre, see Table 2 in the Data availability section for details.
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Status: final response (author comments only)
- RC1: 'Comment on essd-2025-658', Anonymous Referee #1, 03 Jan 2026
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RC2: 'Comment on essd-2025-658', Anonymous Referee #2, 09 Jan 2026
Review of "Measurements of water droplet in a turbulent wind tunnel" by Frey et al. 2025
The manuscript presents a data set from the cloud-clear air entrainment-mixing experiments conducted at the LACIS-T wind tunnel facility. The experimental data are supplemented by simulations using the OpenFOAM CFD package. The combined data set provides a unique opportunity to perform a process-level investigation of mixing characteristics at the cloud-clear air interface in a turbulent/shear environment resembling stratocumulus cloud tops or a fog layer. The data set could also be useful for model inter-comparison projects (e.g., a case for the next International Cloud Modeling Workshop) and evaluating different subgrid turbulence-microphysics interaction schemes. The authors should consider highlighting that in the manuscript.
In my view, the manuscript is well written, with a clear explanation of the data set, experimental conditions, model setup, and other relevant details. I have a few minor suggestions for the authors' consideration:
- L35: The authors could also mention the CloudKite measurements as another unique way to collect high-resolution data for entrainment-mixing studies.
- L82: It's confusing to see uncertainties reported as % +- some value. Do you mean '1.5% |v| + 0.03 m/s' here?
- L179: Can the authors add a paragraph describing turbulence statistics in the measurement section? It would also be helpful to show PDFs of temperature, water vapor, and velocity fluctuations (and their moments) at different vertical locations in the mixing zone.
- L204: The sentence starting with 'However' seems abrupt. I can't see any statement above that you are contrasting. Is there something missing?
- Please discuss the assumptions underlying the simulation setup in more detail. For example, does the condensation growth model include the curvature and solute effects (or a pure water drop assumed)?
- L227-229: Growth by drop collision-coalescence - But the droplet concentration distribution (left plot in Fig. 6) shows hardly any change for the large droplet tail concentrations. Normalized distributions (PDFs) can be misleading when comparing tails if the mode decreases more than the tails.
- L234: As I mentioned earlier, it would be very useful to discuss the turbulence statistics relevant for collision-coalescence (e.g., turbulent dissipation rates, Taylor's micro-scale Reynolds number, Stokes number, PDFs of velocity fluctuations, etc.).
Citation: https://doi.org/10.5194/essd-2025-658-RC2
Data sets
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-16 Wiebke Frey http://dx.doi.org/10.25326/3F1J-GQ35
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-21 Wiebke Frey http://dx.doi.org/10.25326/6M2H-VC29
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-21 Wiebke Frey http://dx.doi.org/10.25326/M1AE-G137
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-22 Wiebke Frey http://dx.doi.org/10.25326/6WVK-9153
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-23 Wiebke Frey http://dx.doi.org/10.25326/BT77-NA95
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-23 Wiebke Frey http://dx.doi.org/10.25326/SV3H-CV11
Atmospheric simulation chamber study: water + None - Cloud study - 2022-02-23 Wiebke Frey http://dx.doi.org/10.25326/CATS-D655
Atmospheric simulation chamber study: water + None - Cloud study - 2022-03-01 Wiebke Frey http://dx.doi.org/10.25326/T0TG-VV79
Atmospheric simulation chamber study: water + None - Cloud study - 2022-03-02 Wiebke Frey http://dx.doi.org/10.25326/1F17-VZ46
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