Association of Mesoscale Features With Tropical Cyclone Tauktae

An attempt has been made in this paper to examine the ability of various microphysical schemes (Morrison, Thompson, Lin) of Weather Research Forecasting (WRF) model in analyzing the convective features in a cyclone Tauktae over the Arabian Sea from May 14 th to May 19 th , 2021. This study explores...

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Bibliographic Details
Published in:Thalassas : revista de ciencias del mar 2024-12, Vol.40 (4), p.1521-1543
Main Authors: Umakanth, Nandivada, Kumar, Prathipati Vinay, Biswasharma, Rupraj, Gogineni, Rajesh, Ahammad, Shaik Hasane, Rao, Myla Chimpiri
Format: Article
Language:English
Subjects:
Coastal Sciences
Convection
Cyclones
Earth and Environmental Science
Earth Sciences
Error analysis
Fish & Wildlife Biology & Management
Freshwater & Marine Ecology
Helicity
Hurricanes
Marine & Freshwater Sciences
Mesoscale features
Oceanography
Parameters
Potential energy
Precipitation
Rainfall
Reflectance
Root-mean-square errors
Sea level pressure
Sea surface temperature
Statistical models
Storms
Tropical cyclones
Weather forecasting
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Summary:An attempt has been made in this paper to examine the ability of various microphysical schemes (Morrison, Thompson, Lin) of Weather Research Forecasting (WRF) model in analyzing the convective features in a cyclone Tauktae over the Arabian Sea from May 14 th to May 19 th , 2021. This study explores the model’s performance of various schemes with MERRA2 observations. For rainfall, India Meteorological Department (IMD) daily rainfall dataset has been considered as observation. In this study, the evaluation of various model parameters has been done using statistical metrics and skill scores. Among the three schemes, Morrison scheme stands out to be most reliable scheme with high correlation and less BIAS and Root Mean Square error (RMSE). The convective parameters used for the study of cyclonic activity are rainfall (RF), cloud top temperature (CTT), lifted index (LI), total precipitable water (TPW), convective available potential energy (CAPE), convective inhibition (CIN), sea level pressure (SLP), sea surface temperature (SST), geo potential height (GPH), Storm Relative Helicity (SRLH), composite reflectivity (COMP_ref) and divergence. CAPE has been a useful parameter in analyzing the cyclone’s energy. The WRF model was found to be useful in forecasting severe convection related cyclonic activity.
ISSN:0212-5919
2366-1674
DOI:10.1007/s41208-024-00740-z