Abstract
We have been challenging the simulation of tropical cyclone (TC) geneses using a global/regional cloud-system resolving model (GCSRM), non-hydrostatic ICosahedral-grid atmospheric model (NICAM) (Satoh et al. 2008). A GCSRM has the advantages that it can deal with the organization of meso-scale cloud systems into a tropical cyclone during the cyclogenesis process, and that it can cover the long-distance movement of TC sources such as tropical waves. Using a GCSRM, our goal is to reveal the relation between predictabilities and mechanisms of TC geneses. In the previous studies, two important perspectives have been suggested related to TC geneses: environments and sources. The large-scale environments explain probability distribution of TC geneses including climatological seasonal change, interannual variability like ENSO, and intraseasonal oscillation such as Madden-Julian Oscillation. On the other hand, the precise timings of TC geneses seem to be triggered by synoptic-scale sources such as tropical waves, extratropical disturbances, and energy dispersions from neighboring TCs. Recently we have demonstrated that the 14-km-grid GCSRM can predict the timing of Typhoon 21st in 2006 with the lead time of more than 3 days, which was controlled by the westward propagating wave over the North Pacific. In 2008, Cyclone Nargis caused terrible disaster in Myanmar; we examined the predictability of Nargis genesis using the NICAM model.
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References
Bister M, Emanuel KA (2002) Low frequency variability of tropical cyclone potential intensity. 1. Interannual to interdecadal variability. J Geophys Res 107, doi:10.1029/2001JD000776
Camargo SJ, Emanuel KA, Sobel AH (2007) Use of a genesis potential index to diagnose ENSO Effects on tropical cyclone genesis. J Clim 20:4819-4834
Murakami T, Nakazawa T, He J (1984) On the 40-50 day oscillations during the 1979 northern hemisphere summer. Part I: phase propagation. J Meteorol Soc Jpn 62:440-468
Satoh M, Matsuno T, Tomita H, Nasuno T, Iga S (2008) Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations. J Comp Phys 227:3486-3514. doi:10.1016/j.jcp. 2007.02.006
Webster PJ, Magana VO, Palmer TN, Shukla J, Tomas RA, Yanai M, Yasunari T (1998) Monsoons: processes, predictability, and the prospects for prediction. J Geophys Res 103:14451-14510
Acknowledgment
The present study was supported by Core Research for Evolutional Science and Technology, Japan Science and Technology Agency (CREST, JST) and by KAKENHI 20740266. The simulation discussed in this study was performed on the National Institute for Environmental Studies (NIES) supercomputer system (NEC SX-8R/128M16), and on the Earth Simulator at the Japan Agency for Marine-Earth Science and Technology. The potential intensity was calculated using the FORTRAN program on the website of Dr. Kerry Emanuel. The best-track data were obtained from the University of Hawaii. The analysis data used here are JMA GPV, JCDAS reanalysis, and NCEP final analysis.
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Yanase, W., Taniguchi, H., Satoh, M. (2010). Numerical Simulation of the Genesis of Cyclone Nargis Using a Global Cloud-System Resolving Model, NICAM. In: Charabi, Y. (eds) Indian Ocean Tropical Cyclones and Climate Change. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3109-9_10
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DOI: https://doi.org/10.1007/978-90-481-3109-9_10
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