Array · dataset · 2023
Data for the publication: "Seeding of Supercooled Low Stratus Clouds with a UAV to Study Microphysical Ice Processes": An Introduction to the CLOUDLAB Project
Listed in ETH Zürich Research Collection
Ice formation and growth processes play a crucial role in the evolution of cloud systems and the formation of precipitation.
Description
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.
Read the rest (2 more)
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.
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/638794 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-b-000638794 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Physics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Cloud physics 76% · Satellite remote sensing 65%
Provenance · 1 source records, 21 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ETH Zürich Research Collection | oai:www.research-collection.ethz.ch:20.500.11850/638794 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
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| license | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | /metadata/dc/rights |
| publication_date | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| title | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | /metadata/dc/title |