Parametric modeling of tropical cyclone wind fields in India

Convective activity such as tropical cyclone (TC) governed by geophysical fluid dynamics is among the most devastating natural disasters known to human society. Modeling TC wind field is of specific importance for the engineering, climatological and insurance point of view. The present study discuss...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) 2018-09, Vol.93 (2), p.1049-1084
Main Author: Das, Yashvant
Format: Article
Language:English
Subjects:
Case studies
Civil Engineering
Climate models
Climatology
Computational fluid dynamics
Convective activity
Cyclones
Disasters
Dynamics
Earth and Environmental Science
Earth Sciences
Environmental Management
Fluid dynamics
Geophysical fluids
Geophysics
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hazard assessment
Hurricanes
Hydrodynamics
Hydrogeology
Modelling
Natural disasters
Natural Hazards
Original Paper
Parameter sensitivity
Parametric statistics
Risk management
Storms
Surface wind
Tropical climate
Tropical cyclones
Two dimensional models
Wind
Wind fields
Winds
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Summary:Convective activity such as tropical cyclone (TC) governed by geophysical fluid dynamics is among the most devastating natural disasters known to human society. Modeling TC wind field is of specific importance for the engineering, climatological and insurance point of view. The present study discusses the development of tropical cyclone wind fields based on the most commonly used gradient wind model of Holland. The model creates a two-dimensional surface wind field using the best track information on cyclone characteristics as input parameter from India Meteorological Department. A total of five significant historical storms making landfall along the east and west coast of Indian subcontinent are considered for the case study. Modeled winds are calibrated and validated against the anemometer observations. Model sensitivity to varying Holland’s parameter ( B ) and peripheral pressure ( P n ) is also elucidated. Comparisons of modeled winds with observations show good agreement indicating the capability of model for the application of hazard assessment and risk management.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-018-3340-x