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Titel |
Impact of cloud parameterization on the numerical simulation of a super cyclone |
VerfasserIn |
M. S. Deshpande, S. Pattnaik, P. S. Salvekar |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
0992-7689
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Digitales Dokument |
URL |
Erschienen |
In: Annales Geophysicae ; 30, no. 5 ; Nr. 30, no. 5 (2012-05-07), S.775-795 |
Datensatznummer |
250017220
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Publikation (Nr.) |
copernicus.org/angeo-30-775-2012.pdf |
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Zusammenfassung |
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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