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.
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References
Ohfuchi, W., Nakamura, H., Yoshioka, M.K., Enomoto, T., Takaya, K., Peng, X., Yamane, S., Nishimura, T., Kurihara, Y., Ninomiya, K.: 10-km Mesh meso-scale resolving simulations of the global atmosphere on the earth simulator–preliminary outcomes of AFES (AGCM for the Earth Simulator). J. Earth Simul. 1, 8–34 (2004)
Tomita, S., Sato, M.: A new dynamical framework of nonhydrostatic global model using the icosahedral grid. Fluid Dyn. Res. 34(6), 357–400 (2004)
Sato, M., Tomita, H., Yashiro, H., Miura, H., Kodama, C., Seiki, T., Noda, A.T., Yamada, Y., Goto, D., Sawada, M., Miyoshi, T., Niwa, Y., Hara, M., Ohno, T., Iga, S., Arakawa, T., Inoue, T., Kubokawa, H.: The Non-hydrostatic icosahedral atmospheric model: description and development. Prog. Earth Planet. Sci. 1(18), 1–32 (2014)
Miura, H., Satoh, M., Nasuno, T., Noda, A.T., Oouchi, K.: A madden-julien oscillation event realistically simulated by a global cloud-resolving model. Science 318, 1763–1765 (2007)
Nakano, M., Sawada, M., Nasuno, T., Satoh, M.: Intraseasonal variability and tropical cyclonenesis in the western north pacific simulated by a global nonhydrostatic atmospheric model. Geophys. Res. Lett. 42, 565–571 (2015)
Karlsson, K.-G.: Development of an operational cloud classification model. Int. J. Remote Sens. 10, 687–693 (1989)
MacĂas-MacĂas, M., GarcĂa-Orellana, C.J., González-Velasco, H., Gallardo-Caballero, R.: ICA and GA feature extraction and selection for cloud classification. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds.) ICAPR 2005. LNCS, vol. 3686, pp. 488–496. Springer, Heidelberg (2005)
Zibert, M.I., Derrien, M., Le Gleau, H.: Automatic cloud classification by supervised learning on SEVIRI data using support vector machines method. In: The 2005 EUMETSAT Meteorological Satellite Conference, pp. 188–192 (2006)
Kazantzidis, R., Tzoumanikas, P., Bais, A.F., Fotopoulos, S., EconomouU, G.: Equipment and methodologies for cloud detection and classification: a review. Sol. Energy 95, 392–430 (2012)
Heinle, A., Macke, A., Srivastav, A.: Automatic cloud classification of whole sky images. Atmos. Measur. Tech. 3, 557–567 (2010)
Liu, S., Zhang, Z., Mei, X.: Ground-based cloud classification using weighted local binary patterns. J. Appl. Remote Sens. 9(1), 095062 (2015)
The Ten Cloud Types. http://www.weathergamut.com/2011/10/14/cloud-nine/
Sinkevich, A.A., Krauss, T.W., Stepanenko, V.D., Dovgalyuk, Y.A., Veremey, N.E., Krov, A.B., Pivovarova, L.V.: Study of dynamics of the cumulonimbus anvil of large vertical extent. Russ. Meteorol. Hydrol. 34(12), 775–783 (2010)
Houze, R.A.: Clouds in tropical cyclones. Mon. Weather Rev. 138, 293–344 (2010)
Oouchi, K., Fudeyasu, H. (eds.): Cyclones: Formation, Triggers and Control. NOVA Publishers, New York (2012)
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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Matsuoka, D., Oouchi, K. (2016). 3-Dimensional Classification and Visualization of Clouds Simulated by Cloud-Resolving Atmospheric General Circulation Model. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-2669-0_7
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DOI: https://doi.org/10.1007/978-981-10-2669-0_7
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