Document Type
Article
Publication Date
2-16-2024
Department
Department of Physics
Abstract
A large convection-cloud chamber has the potential to produce drizzle-sized droplets, thus offering a new opportunity to investigate aerosol-cloud-drizzle interactions at a fundamental level under controlled environmental conditions. One key measurement requirement is the development of methods to detect the low-concentration drizzle drops in such a large cloud chamber. In particular, remote sensing methods may overcome some limitations of in situ methods. Here, the potential of an ultrahigh-resolution radar to detect the radar return signal of a small drizzle droplet against the cloud droplet background signal is investigated. It is found that using a small sampling volume is critical to drizzle detection in a cloud chamber to allow a drizzle drop in the radar sampling volume to dominate over the background cloud droplet signal. For instance, a radar volume of 1 cubic centimeter (cm3) would enable the detection of drizzle embryos with diameter larger than 40μm. However, the probability of drizzle sampling also decreases as the sample volume reduces, leading to a longer observation time. Thus, the selection of radar volume should consider both the signal power and the drizzle occurrence probability. Finally, observations from the Pi Convection-Cloud Chamber are used to demonstrate the single-drizzle-particle detection concept using small radar volume. The results presented in this study also suggest new applications of ultrahigh-resolution cloud radar for atmospheric sensing.
Publication Title
Atmospheric Measurement Techniques
Recommended Citation
Zhu, Z.,
Yang, F.,
Kollias, P.,
Shaw, R.,
Kostinski, A.,
Krueger, S.,
Lamer, K.,
Allwayin, N.,
&
Oue, M.
(2024).
Detection of small drizzle droplets in a large cloud chamber using ultrahigh-resolution radar.
Atmospheric Measurement Techniques,
17(3), 1133-1143.
http://doi.org/10.5194/amt-17-1133-2024
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/595
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© Author(s) 2024. Publisher’s version of record: https://doi.org/10.5194/amt-17-1133-2024