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3-Dimensional Classification and Visualization of Clouds Simulated by Cloud-Resolving Atmospheric General Circulation Model

  • Daisuke Matsuoka
  • Kazuyoshi Oouchi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 645)

Abstract

Cloud-resolving atmospheric general circulation models using large scale supercomputers reproduce realistic behavior of atmospheric field on a global scale. To understand the simulation result for scientists, visualizing individual clouds and their physical characteristics is necessary. In this study, we propose a new feature extraction and classification method of simulated clouds based on their 3-dimensional shape and physical properties. The results of applying the proposed method show the clouds’ distribution of a tropical cyclone during its generation, development and disappearance process, and the relation between cloud-forms and precipitation.

Keywords

Visualization Atmospheric simulation Cloud Feature extraction Classification 

Notes

Acknowledgement

We are grateful to Dr. Miyakawa (University of Tokyo), Dr. Nakano (JAMSTEC) and the NICAM team for their data production and model development. This work is supported by KAKENHI (26700010) Grant-in-Aid for Young Scientists (A).

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Japan Agency for Marine-Earth Science and Technology (JAMSTEC)YokohamaJapan

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