Tropical cyclones over the North Indian Ocean: experiments with the high-resolution global icosahedral grid point model GME

In this paper, an attempt has been made to conduct a numerical experiment with the high-resolution global model GME to predict the tropical storms in the North Indian Ocean during the year 2007. Numerical integrations using the icosahedral hexagonal grid point global model GME were performed to stud...

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Bibliographic Details
Published in:Meteorology and atmospheric physics 2018-02, Vol.130 (1), p.23-37
Main Authors: Kumkar, Yogesh V., Sen, P. N., Chaudhari, Hemankumar S., Oh, Jai-Ho
Format: Article
Language:English
Subjects:
Aquatic Pollution
Atmospheric Sciences
Boundary layers
Coastal zone
Computer simulation
Cyclone tracks
Cyclones
Earth and Environmental Science
Earth Sciences
Errors
Evolution
High resolution
Hurricanes
Icosahedral phase
Math. Appl. in Environmental Science
Mathematical models
Meteorology
Numerical simulations
Oceans
Original Paper
Resolution
Storms
Terrestrial Pollution
Tropical climate
Tropical cyclones
Tropical depressions
Tropical storms
Waste Water Technology
Water Management
Water Pollution Control
Water vapor
Water vapour
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Summary:In this paper, an attempt has been made to conduct a numerical experiment with the high-resolution global model GME to predict the tropical storms in the North Indian Ocean during the year 2007. Numerical integrations using the icosahedral hexagonal grid point global model GME were performed to study the evolution of tropical cyclones, viz., Akash, Gonu, Yemyin and Sidr over North Indian Ocean during 2007. It has been seen that the GME model forecast underestimates cyclone’s intensity, but the model can capture the evolution of cyclone’s intensity especially its weakening during landfall, which is primarily due to the cutoff of the water vapor supply in the boundary layer as cyclones approach the coastal region. A series of numerical simulation of tropical cyclones have been performed with GME to examine model capability in prediction of intensity and track of the cyclones. The model performance is evaluated by calculating the root mean square errors as cyclone track errors.
ISSN:0177-7971
1436-5065
DOI:10.1007/s00703-017-0503-3