Japan Geoscience Union Meeting 2024

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS03] Large-scale moisture and organized cloud systems

Wed. May 29, 2024 10:45 AM - 12:00 PM 103 (International Conference Hall, Makuhari Messe)

convener:Hiroaki Miura(The University of Tokyo), Daisuke Takasuka(Graduate School of Science, Tohoku University), Atsushi Hamada(University of Toyama), Satoru Yokoi(Japan Agency for Marine-Earth Science and Technology), Chairperson:Hiroaki Miura(The University of Tokyo), Daisuke Takasuka(Atmosphere and Ocean Research Institute, The University of Tokyo)

11:15 AM - 11:30 AM

[AAS03-09] A stochastic lattice model for convective self-aggregation

★Invited Papers

*Takuya Jinno1, Hiroaki Miura1 (1.Graduate School of Science, The University of Tokyo)

Keywords:convective self-aggregation, radiative-convective equilibrium

Self-aggregation of tropical convection is a universal feature which occurs in various environmental fields. Several preceding models conceptualized the self-aggregation as a phase transition driven by the collisions between cold pool gust fronts. However, the self-aggregation is controlled by various physical processes such as surface fluxes, radiation, moisture perturbations in planetary boundary layers, and it is unclear which process plays a dominant role. In this study, a simple stochastic lattice model for the pattern formation of deep convections is developed, inspired by two-dimensional Ising model. The current model incorporates the effect of clear-sky radiative cooling as an interaction between clouds, which suppresses deep convections. It also incorporates the effect of cold pool collisions, which triggers new convection. Our results show that by varying the intensity of clear-sky radiative cooling effects, the transition from the scattered to the aggregated cloud field is reproduced. It is implied that the feedback of longwave radiation also plays a key role in causing convective self-aggregation. The model also successfully explains the dependence of self-aggregation on several model parameters such as the experimental domain size and the characteristic size of cold pools.