Back to Search Start Over

Seeding of Supercooled Low Stratus Clouds with a UAV to Study Microphysical Ice Processes: An Introduction to the CLOUDLAB Project.

Authors :
Henneberger, Jan
Ramelli, Fabiola
Spirig, Robert
Omanovic, Nadja
Miller, Anna J.
Fuchs, Christopher
Zhang, Huiying
Bühl, Johannes
Hervo, Maxime
Kanji, Zamin A.
Ohneiser, Kevin
Radenz, Martin
Rösch, Michael
Seifert, Patric
Lohmann, Ulrike
Source :
Bulletin of the American Meteorological Society. Nov2023, Vol. 104 Issue 11, pE1962-E1979. 18p.
Publication Year :
2023

Abstract

SIGNIFICANCE STATEMENT: A novel experimental approach to conduct laboratory-type experiments in natural clouds is introduced within the CLOUDLAB project: a unique combination of uncrewed aerial vehicles (UAVs) and state-of-the-art instrumentation is used to perform targeted cloud seeding experiments in persistent supercooled stratus clouds. The results will enhance the process understanding of mixed-phase clouds and improve the ice-phase parameterizations in weather and climate models, ultimately leading to more reliable precipitation forecasts and climate projections. In addition, the gained knowledge will be important to quantify the consequences of artificial weather modification and climate interventions. Ice formation and growth processes play a crucial role in the evolution of cloud systems and the formation of precipitation. However, the initial formation and growth of ice crystals are challenging to study in the real atmosphere resulting in uncertainties in weather forecasts and climate projections. The CLOUDLAB project tackles this problem by using supercooled stratus clouds as a natural laboratory for targeted glaciogenic cloud seeding to advance the understanding of ice processes: Ice nucleating particles are injected from an uncrewed aerial vehicle (UAV) into supercooled stratus clouds to induce ice crystal formation and subsequent growth processes. Microphysical changes induced by seeding are measured 3–15 min downstream of the seeding location using in situ and ground-based remote sensing instrumentation. The novel application of seeding with a multirotor UAV combined with the persistent nature of stratus clouds enables repeated seeding experiments under similar and well-constrained initial conditions. This article describes the scientific goals, experimental design, and first results of CLOUDLAB. First, the seeding plume is characterized by using measurements of a UAV equipped with an optical particle counter. Second, the seeding-induced microphysical changes observed by cloud radars and a tethered balloon system are presented. The seeding signatures were detected by regions of increased radar reflectivity (>−20 dBZ), which were 10–20 dBZ higher than the natural background. Simultaneously, high concentrations of seeding particles and ice crystals (up to 2,000 L−1) were observed. A cloud seeding case was simulated with the numerical weather model ICON to contextualize the findings. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00030007
Volume :
104
Issue :
11
Database :
Academic Search Index
Journal :
Bulletin of the American Meteorological Society
Publication Type :
Academic Journal
Accession number :
174391353
Full Text :
https://doi.org/10.1175/BAMS-D-22-0178.1