the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Aerosol-cloud interactions in Saharan mineral dust over the Eastern Mediterranean
Abstract. Mineral dust is a major component of atmospheric aerosol mass, yet its role in cloud processes remains poorly understood. While laboratory studies have explored its ability to act as cloud condensation nuclei (CCN) and ice nucleating particles (INPs), in situ atmospheric measurements are scarce.
This study presents unique in situ and remote sensing observations of dust-embedded clouds from the A-LIFE campaign in the Eastern Mediterranean. In situ observations on 20 April 2017 including shadow images and size distributions of aerosol and cloud particles combined with Doppler wind lidar (DWL) measurements were used to characterize dust and cloud microphysical properties. A novel size distribution retrieval for the second-generation Cloud, Aerosol, and Precipitation Spectrometer (CAPS) was developed – accounting for instrumental uncertainties, particle non-sphericity, and refractive index via a Monte Carlo method – and a machine learning-based calibration of the CAPS hotwire sensor for LWC measurements was introduced.
Using the newly developed analysis tools, this study presents a quantitative assessment of two different aerosol-cloud interaction processes in dust-embedded clouds: Measurements at the cloud-top indicated heterogeneous ice nucleation, in accordance with laboratory experiments and INP parameterizations. Furthermore, small-scale CCN activation of mineral dust particles into liquid droplets (~10 µm) was observed in the middle part of the cloud, with activation diameters as small as 0.13–0.23 µm, consistent with laboratory findings. DWL observations revealed vertical lifting as the driver of increased water supersaturation, enabling CCN activation. These findings provide new insights into the microphysical processes of dust-embedded clouds and their interactions with the atmosphere.
- Preprint
(2564 KB) - Metadata XML
- BibTeX
- EndNote
Status: closed (peer review stopped)
- RC1: 'Comment on egusphere-2026-531', Anonymous Referee #1, 17 Apr 2026
- RC2: 'Comment on egusphere-2026-531', Anonymous Referee #2, 28 Apr 2026
Status: closed (peer review stopped)
-
RC1: 'Comment on egusphere-2026-531', Anonymous Referee #1, 17 Apr 2026
This manuscript presents a unique and comprehensive set of airborne in situ and remote sensing observations to characterize aerosol-cloud interactions within Saharan mineral dust layers over the Eastern Mediterranean. The study is technically innovative, introducing a novel Monte Carlo-based size distribution retrieval and a machine learning-based calibration for liquid water content measurements. The scientific conclusions regarding both heterogeneous ice nucleation and CCN activation of mineral dust appear robust and provide valuable insights into atmospheric microphysical processes. Overall, the paper is very well written and properly organized. I recommend accepting the paper for publication after a few, relatively minor revisions.
Detailed Comments
- Abstract, Line 23: The acronym LWC should be explicitly defined at its first mention to ensure clarity for all readers.
- Introduction, Lines 24-25: The authors state that heterogeneous ice nucleation is the primary mechanism for ice formation at temperatures larger than 235 K. Given that this is a foundational physical threshold in atmospheric science, the manuscript should include a formal reference to support this specific value.
- Section 2.2.1 (Instrument description): While the spatial resolution and size ranges of the CAS and CIP are well-defined, the authors should include the temporal resolution (sampling frequency) of these instruments.
- Section 2.2.4 (Novel machine learning method for hotwire calibration): The application of a neural network to determine the convection component of the LWC sensor is a modern approach. However, to ensure scientific reproducibility and robustness, the authors must specify the architecture characteristics of the network (e.g., architecture type, number of hidden layers, activation functions) and provide details about the training process, including dataset split sizes and training strategies used to predict the convective loss.
- Section 3.2 (Investigation of ice crystals in the dust-embedded clouds): The manuscript utilizes the DeMott et al. (2010 and 2015) parameterizations (D10 and D15) to predict INP concentrations. However, these theoretical frameworks are introduced directly in the Results section without prior mention in the Methods. I recommend including a brief description of these parameterizations in Section 2.
- Section 4.2 (Mineral dust as CCN): The authors report that CCN activation was observed at supersaturations (SS) between 2% and 4%. This is significantly higher than the 0.2-0.3% SS typically reported in laboratory studies for similar dust samples. While the authors suggest that instrumental resolution may play a role, the manuscript would be strengthened by a deeper discussion of the physical implications.
Citation: https://doi.org/10.5194/egusphere-2026-531-RC1 - RC2: 'Comment on egusphere-2026-531', Anonymous Referee #2, 28 Apr 2026
Viewed
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 535 | 168 | 24 | 727 | 25 | 35 |
- HTML: 535
- PDF: 168
- XML: 24
- Total: 727
- BibTeX: 25
- EndNote: 35
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
This manuscript presents a unique and comprehensive set of airborne in situ and remote sensing observations to characterize aerosol-cloud interactions within Saharan mineral dust layers over the Eastern Mediterranean. The study is technically innovative, introducing a novel Monte Carlo-based size distribution retrieval and a machine learning-based calibration for liquid water content measurements. The scientific conclusions regarding both heterogeneous ice nucleation and CCN activation of mineral dust appear robust and provide valuable insights into atmospheric microphysical processes. Overall, the paper is very well written and properly organized. I recommend accepting the paper for publication after a few, relatively minor revisions.
Detailed Comments