Impacts of Diabatic Initialization and Cumulus Parameterization on Numerical Typhoon Prediction

Tsutsui, Junichi; Kasahara, Akira; Hirakuchi, Hiromaru

doi:10.2151/jmsj1965.76.6_889

Cited by 4 publications

(3 citation statements)

References 36 publications

(29 reference statements)

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“…They also found that the storm evolution with both cumulus parameterization schemes was sensitive to inclusion of the cooling effect of raindrop evaporation. Tsutsui et al (1998) conducted forecast experiments for tropical cyclones with a limited area model. They investigated the impact of two cumulus parameterization schemes, namely a relaxed Arakawa-Schubert scheme proposed by Moorthi and Suarez (1992) and Kuo (1974) scheme, on tropical cyclone prediction.…”

Section: Introductionmentioning

confidence: 99%

Impact of cloud parameterization on the numerical simulation of a super cyclone

2012

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Abstract. This study examines the role of parameterization of convection and explicit moisture processes on the simulated track, intensity and inner core structure of Orissa super cyclone (1999) in Bay of Bengal (north Indian Ocean). Sensitivity experiments are carried out to examine the impact of cumulus parameterization schemes (CPS) using MM5 model (Version 3.7) in a two-way nested domain (D1 and D2) configuration at horizontal resolutions (45-15 km). Three different cumulus parameterization schemes, namely Grell (Gr), Betts-Miller (BM) and updated Kain Fritsch (KF2), are tested. It is noted that track and intensity both are very sensitive to CPS and comparatively, KF2 predicts them reasonably well. Particularly, the rapid intensification phase of the super cyclone is best simulated by KF2 compared to other CPS. To examine the effect of the cumulus parameterization scheme at high resolution (5 km), the three-domain configuration (45-15-5 km resolution) is utilized. Based on initial results, KF2 scheme is used for both the domains (D1 and D2). Two experiments are conducted: one in which KF2 is used as CPS and another in which no CPS is used in the third domain. The intensity is well predicted when no CPS is used in the innermost domain. The sensitivity experiments are also carried out to examine the impact from microphysics parameterization schemes (MPS). Four cloud microphysics parameterization schemes, namely mixed phase (MP), Goddard microphysics with Graupel (GG), Reisner Graupel (RG) and Schultz (Sc), are tested in these experiments. It is noted that the tropical cyclone tracks and intensity variation have considerable sensitivity to the varying cloud microphysical parameterization schemes. The MPS of MP and Sc could very well capture the rapid intensification phase. The final intensity is well predicted by MP, which is overestimated by Sc. The MPS of GG and RG underestimates the intensity.

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Section: Introductionmentioning

confidence: 99%

Impact of cloud parameterization on the numerical simulation of a super cyclone

2012

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“…Thus, many researchers chose this typhoon as a target of their numerical studies on tropical cyclones (e.g., Yamasaki 1992;Murata et al 1996;Aonashi et al 1996;Kasahara et al 1996;Tsutsui et al 1998). …”

Section: Typhoon Flomentioning

confidence: 99%

“…They also found that the storm evolution with both cumulus parameterization schemes was sensitive to inclusion of the cooling effect of raindrop evaporation. Recently, Tsutsui et al (1998) conducted forecast experiments for tropical cyclones with a limited area model. They investigated the impact of two kinds of cumulus parameterization, which were a relaxed Arakawa-Schubert scheme proposed by Moorthi and Suarez (1992) and Kuo (1974) scheme, on tropical cyclone prediction.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Different Cumulus Parameterization Schemes on the Intensity Forecast of Typhoon Flo (1990)

Murata¹,

Ueno²

2000

Journal of the Meteorological Society of Japan

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The impact of two cumulus parameterizations on intensity of a simulated tropical cyclone was examined using a limited area numerical model. A moist convective adjustment scheme and Arakawa-Schubert scheme were used as a cumulus parameterization for each numerical experiment. Typhoon Flo (1990) was selected as a case study.Difference in the cumulus parameterizations had drastic influence on a difference in sea-level pressure averaged over the core region (within the 250 km radius from the storm center) of the simulated storm from an early stage of the integration. That is, compared with the experiment with moist convective adjustment, the averaged sea-level pressure with Arakawa-Schubert scheme was relatively low. Central pressure in the latter was also lower than the former, which showed that the latter produced a more intense tropical cyclone consistent with the observation. The difference in central pressure, however, appeared at a later stage, compared with the difference in the averaged sea-level pressure.Temperature tendency due to a moist convective adjustment was considerably negative in the lower troposphere and so was actual temperature tendency, which resulted in a rapid drop of temperature. Consequently, the total air mass within the inner-core region became greater in the experiment with moist convective adjustment than with the Arakawa-Schubert scheme. On the other hand, the difference in the low-level temperature field between the two experiments results in the difference in radial profile of rainfall, and the radius where the eyewall is located. The difference probably brings about the delayed appearance of the central pressure difference.Another numerical experiment was conducted with modified moist convective adjustment not to be cool in the lower troposphere. The result confirmed that cooling in the lower troposphere within the inner core-region greatly inhibits intensification of the simulated storm.

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