Atmospheric and Climate Sciences

Volume 4, Issue 4 (October 2014)

ISSN Print: 2160-0414   ISSN Online: 2160-0422

Google-based Impact Factor: 1.38  Citations  

Study of Weak Intensity Cyclones over Bay of Bengal Using WRF Model

HTML  Download Download as PDF (Size: 6659KB)  PP. 534-548  
DOI: 10.4236/acs.2014.44049    3,646 Downloads   5,240 Views  Citations

ABSTRACT

Numerical simulations of four weak cyclonic storms [two cases of pre-monsoon cyclones: Laila (2010), Aila (2009) and two cases of post-monsoon cyclones: Jal (2010), SCS (2003)] are carried out using WRF-ARW mesoscale model. Betts-Miller-Janjic (BMJ) as cumulus parameterization (CP) scheme, Yonsei University(YSU) planetary boundary layer (PBL) scheme and WRF single moment 6 class (WSM6) microphysics (MP) scheme is kept same for all the cyclone cases. Three two-way interactive nested domains [60 km,20 kmand6.6 km] are used with initial and boundary conditions from NCEP Final Analysis data. The model integration is performed to evaluate the track, landfall time and position as well as intensity in terms of Central Sea Level Pressure (CSLP) and Maximum Surface Wind speed (MSW) of the storm. The track and landfall (time and position) of almost all cyclones are well predicted by the model (except for SCS cyclone case) which may be because of the accurate presentation of the steering flow by CP scheme. Irrespective of season, the intensity is overestimated in all the cases of cyclone, mainly because of the lower tropospheric and mid-tropospheric parameters are overestimated. YSU PBL scheme used here is responsible for the deep convection in and above PBL. Concentration of frozen hydrometeors at the mid-tropospheric levels and thus the latent heat released during auto conversion of hydrometeors is also responsible for overestimation of intensity.

Share and Cite:

Kanase, R. and Salvekar, P. (2014) Study of Weak Intensity Cyclones over Bay of Bengal Using WRF Model. Atmospheric and Climate Sciences, 4, 534-548. doi: 10.4236/acs.2014.44049.

Cited by

[1] Assessing the performance of the HARMONIE-AROME and WRF-ARW numerical models in North Atlantic Tropical Transitions
Sancho, L Quitián-Hernández… - Atmospheric …, 2023
[2] Simulation of Track and Landfall Process of Severe Cyclonic Storm Mora over the Bay of Bengal using WRF-ARW Model
… University Journal of …, 2023
[3] Analysis of the October 2014 subtropical cyclone using the WRF and the HARMONIE-AROME numerical models: Assessment against observations
2021
[4] Evaluation of cumulus schemes of HWRF model in forecasting tropical cyclone characteristics, Gonu tropical cyclone case study
2021
[5] Simulation of Intensity and Track of Tropical Cyclones Over the Arabian Sea Using the Weather Research and Forecast (WRF) Modeling System with Different Initial …
2020
[6] A study on the physical and biogeochemical responses of the Bay of Bengal due to cyclone Madi
2020
[7] Performance evaluation of WRF model with different cumulus parameterizations in forecasting monsoon depressions
2019
[8] Response of tropical cyclone Phailin (2013) in the Bay of Bengal to climate perturbations
2019
[9] Assessing the performance evaluation of different convective parameterization schemes in simulating the intensity of severe cyclonic storms over the Bay of Bengal region
Meteorological Applications, 2019
[10] Rashmi Mittal, Mukul Tewari, Chandrasekar Radhakrishnan, Pallav Ray, Tarkeshwar Singh & Alexander
Clim Dyn, 2019
[11] Endüstri 4.0, toplum 5.0 bakış açılarının şehir içi ulaşımına uygulanması mersin büyükşehir belediyesi için gelecek öngörüleri ve önerileri
2019
[12] The Chennai extreme rainfall event in 2015: The Bay of Bengal connection
Climate Dynamics, 2018
[13] Shoreline morphology changes along the Eastern Coast of India, Andhra Pradesh by using geospatial technology
Journal of Coastal Conservation, 2018
[14] Numerical simulation of tropical cyclone thane: role of boundary layer and surface drag parameterization schemes
Natural Hazards, 2017
[15] Effect of physical parameterization schemes on track and intensity of cyclone LAILA using WRF model
Asia-Pacific Journal of Atmospheric Sciences, 2015

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.