6533b827fe1ef96bd1286584

RESEARCH PRODUCT

Pattern formation in clouds via Turing instabilities

Juliane RosemeierPeter Spichtinger

subject

Diffusion (acoustics)Structure formation010504 meteorology & atmospheric scienceslinear stability analysisQC1-999Pattern formationCloud computingDynamical Systems (math.DS)01 natural sciences86A10 (Primary) 37G02 (Secondary)numerical simulationspattern formationMeteorology. ClimatologyFOS: MathematicsStatistical physicsMathematics - Dynamical Systems0101 mathematicsSpecial caseTuringspatial patterns0105 earth and related environmental sciencescomputer.programming_languagePhysicsbusiness.industryPhysicscloud schemes010101 applied mathematicsNonlinear systemSpatial ecologyQC851-999businesscomputer

description

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.

https://doi.org/10.1515/mcwf-2020-0104