Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-601-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-601-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2024
Research article |
| 26 Jan 2024
| 26 Jan 2024
Two new multirotor uncrewed aerial vehicles (UAVs) for glaciogenic cloud seeding and aerosol measurements within the CLOUDLAB project
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Fabiola Ramelli
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Christopher Fuchs
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Nadja Omanovic
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Robert Spirig
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Huiying Zhang
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Ulrike Lohmann
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Zamin A. Kanji
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
Jan Henneberger
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland
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Cited
17 citations as recorded by crossref.
- Multirotor UAV icing correlated to liquid water content measurements in natural supercooled clouds A. Miller et al. https://doi.org/10.1016/j.coldregions.2024.104262
- Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds A. Miller et al. https://doi.org/10.5194/acp-25-5387-2025
- Aircraft Conceptual Design for Cloud Seeding: A Comparative Study of Recent Many-Objective Metaheuristics P. Champasak et al. https://doi.org/10.3390/aerospace13020202
- Quantifying ice crystal growth rates in natural clouds from glaciogenic cloud seeding experiments C. Fuchs et al. https://doi.org/10.5194/acp-25-12177-2025
- A drone-based sampling platform for vertically resolved chemical characterization of aerosol particles using chemical ionization mass spectrometry L. Håkansson et al. https://doi.org/10.5194/amt-19-3083-2026
- Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project N. Omanovic et al. https://doi.org/10.5194/acp-24-6825-2024
- Microfluidics for the biological analysis of atmospheric ice-nucleating particles: Perspectives and challenges M. Tarn et al. https://doi.org/10.1063/5.0236911
- Glaciogenic seeding-induced hole-punch clouds and their sensitivity to the clouds' background state N. Omanovic et al. https://doi.org/10.5194/acp-26-5345-2026
- The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain N. Omanovic et al. https://doi.org/10.5194/acp-24-14145-2024
- Contribution of the 2DVD to the investigation of cloud microphysics during the MOSAiC and Cloudlab/PolarCAP campaigns T. Gaudek et al. https://doi.org/10.5194/amt-19-2245-2026
- Latent heat feedbacks and the self-lofting of seeded ice plumes: insights from bin microphysics simulations H. Zhang et al. https://doi.org/10.5194/acp-26-8677-2026
- The Flying Laboratory FLab: development and application of a UAS to measure aerosol particles and trace gases in the lower troposphere L. Moormann et al. https://doi.org/10.5194/amt-18-1441-2025
- Atmospheric Fungal Spore Injection: A Promising Breakthrough for Challenging the Impacts of Climate Change Through Cloud Seeding and Weather Modification G. Adam Ghebrezgiabher & G. Tedros Gebrezgiabhier https://doi.org/10.61927/igmin248
- Unmanned aircraft systems for precipitation enhancement: Advancements, challenges, and future prospects M. Kazim et al. https://doi.org/10.1016/j.atmosres.2025.108333
- Inferring the controlling factors of ice aggregation from targeted cloud seeding experiments H. Zhang et al. https://doi.org/10.5194/acp-26-1459-2026
- Analysis of hygroscopic cloud seeding materials using the Korea Cloud Physics Experimental Chamber (K-CPEC): a case study for powder-type sodium chloride and calcium chloride B. Kim et al. https://doi.org/10.5194/amt-18-3781-2025
- Copter-Type UAV-Based Sensing in Atmospheric Chemistry: Recent Advances, Applications, and Future Perspectives Y. Li et al. https://doi.org/10.1021/acs.est.5c00074
17 citations as recorded by crossref.
- Multirotor UAV icing correlated to liquid water content measurements in natural supercooled clouds A. Miller et al. https://doi.org/10.1016/j.coldregions.2024.104262
- Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds A. Miller et al. https://doi.org/10.5194/acp-25-5387-2025
- Aircraft Conceptual Design for Cloud Seeding: A Comparative Study of Recent Many-Objective Metaheuristics P. Champasak et al. https://doi.org/10.3390/aerospace13020202
- Quantifying ice crystal growth rates in natural clouds from glaciogenic cloud seeding experiments C. Fuchs et al. https://doi.org/10.5194/acp-25-12177-2025
- A drone-based sampling platform for vertically resolved chemical characterization of aerosol particles using chemical ionization mass spectrometry L. Håkansson et al. https://doi.org/10.5194/amt-19-3083-2026
- Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project N. Omanovic et al. https://doi.org/10.5194/acp-24-6825-2024
- Microfluidics for the biological analysis of atmospheric ice-nucleating particles: Perspectives and challenges M. Tarn et al. https://doi.org/10.1063/5.0236911
- Glaciogenic seeding-induced hole-punch clouds and their sensitivity to the clouds' background state N. Omanovic et al. https://doi.org/10.5194/acp-26-5345-2026
- The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain N. Omanovic et al. https://doi.org/10.5194/acp-24-14145-2024
- Contribution of the 2DVD to the investigation of cloud microphysics during the MOSAiC and Cloudlab/PolarCAP campaigns T. Gaudek et al. https://doi.org/10.5194/amt-19-2245-2026
- Latent heat feedbacks and the self-lofting of seeded ice plumes: insights from bin microphysics simulations H. Zhang et al. https://doi.org/10.5194/acp-26-8677-2026
- The Flying Laboratory FLab: development and application of a UAS to measure aerosol particles and trace gases in the lower troposphere L. Moormann et al. https://doi.org/10.5194/amt-18-1441-2025
- Atmospheric Fungal Spore Injection: A Promising Breakthrough for Challenging the Impacts of Climate Change Through Cloud Seeding and Weather Modification G. Adam Ghebrezgiabher & G. Tedros Gebrezgiabhier https://doi.org/10.61927/igmin248
- Unmanned aircraft systems for precipitation enhancement: Advancements, challenges, and future prospects M. Kazim et al. https://doi.org/10.1016/j.atmosres.2025.108333
- Inferring the controlling factors of ice aggregation from targeted cloud seeding experiments H. Zhang et al. https://doi.org/10.5194/acp-26-1459-2026
- Analysis of hygroscopic cloud seeding materials using the Korea Cloud Physics Experimental Chamber (K-CPEC): a case study for powder-type sodium chloride and calcium chloride B. Kim et al. https://doi.org/10.5194/amt-18-3781-2025
- Copter-Type UAV-Based Sensing in Atmospheric Chemistry: Recent Advances, Applications, and Future Perspectives Y. Li et al. https://doi.org/10.1021/acs.est.5c00074
Saved (final revised paper)
Latest update: 14 Jul 2026
Short summary
We present a method for aerosol and cloud research using two uncrewed aerial vehicles (UAVs). The UAVs have a propeller heating mechanism that allows flights in icing conditions, which has so far been a limitation for cloud research with UAVs. One UAV burns seeding flares, producing a plume of particles that causes ice formation in supercooled clouds. The second UAV measures aerosol size distributions and is used for measuring the seeding plume or for characterizing the boundary layer.
We present a method for aerosol and cloud research using two uncrewed aerial vehicles (UAVs)....
