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Pattern formation in clouds via Turing instabilities
- Source :
- Mathematics of Climate and Weather Forecasting, Vol 6, Iss 1, Pp 75-96 (2021)
- Publication Year :
- 2020
- Publisher :
- Portico, 2020.
-
Abstract
- Pattern formation in clouds is a well-known feature, which can be observed almost every day. However, the guiding processes for structure formation are mostly unknown, and also theoretical investigations of cloud patterns are quite rare. From many scientific disciplines the occurrence of patterns in non-equilibrium systems due to Turing instabilities is known, i.e. unstable modes grow and form spatial structures. In this study we investigate a generic cloud model for the possibility of Turing instabilities. For this purpose, the model is extended by diffusion terms. We can show that for some cloud models, i.e special cases of the generic model, no Turing instabilities are possible. However, we also present a general class of cloud models, where Turing instabilities can occur. A key requisite is the occurrence of (weakly) nonlinear terms for accretion. Using numerical simulations for a special case of the general class of cloud models, we show spatial patterns of clouds in one and two spatial dimensions. From the numerical simulations we can see that the competition between collision terms and sedimentation is an important issue for the existence of pattern formation.<br />21 pages, 7 figures
- Subjects :
- Diffusion (acoustics)
Structure formation
010504 meteorology & atmospheric sciences
linear stability analysis
QC1-999
Pattern formation
Cloud computing
Dynamical Systems (math.DS)
01 natural sciences
86A10 (Primary), 37G02 (Secondary)
numerical simulations
pattern formation
Meteorology. Climatology
FOS: Mathematics
Statistical physics
Mathematics - Dynamical Systems
0101 mathematics
Special case
Turing
spatial patterns
0105 earth and related environmental sciences
computer.programming_language
Physics
business.industry
cloud schemes
010101 applied mathematics
Nonlinear system
Spatial ecology
QC851-999
business
computer
Subjects
Details
- ISSN :
- 23536438
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Mathematics of Climate and Weather Forecasting
- Accession number :
- edsair.doi.dedup.....1de5c482712ff400fb243bea69de1c6b
- Full Text :
- https://doi.org/10.1515/mcwf-2020-0104