Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model
ABSTRACT: Performance of non-hydrostatic Regional Atmospheric Modeling System (RAMS) in simulating the tropical cyclones of different intensities, formed during pre and post monsoon is evaluated. Study is carried out for Orissa, Sidr, Mala, h04B, 01A, and Agni cyclones. The simulated cyclone track,...
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2014-02-01
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doaj-6dc972f30d524e4d883196fd82a1167f2021-04-02T14:49:15ZengKeAi Communications Co., Ltd.Tropical Cyclone Research and Review2225-60322014-02-01314452Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction ModelAncy Thomas0Basanta Kumar Samala1Akshara Kaginalkar2Corresponding author address: Ms. Ancy Thomas, Computational Earth Science Group, Centre for Development of Advanced Computing, Pune University Campus, Ganeshkhind road, Pune - 411007, Maharashtra, India.; Centre for Development of Advanced Computing, Pune University Campus, Pune, IndiaCentre for Development of Advanced Computing, Pune University Campus, Pune, IndiaCentre for Development of Advanced Computing, Pune University Campus, Pune, IndiaABSTRACT: Performance of non-hydrostatic Regional Atmospheric Modeling System (RAMS) in simulating the tropical cyclones of different intensities, formed during pre and post monsoon is evaluated. Study is carried out for Orissa, Sidr, Mala, h04B, 01A, and Agni cyclones. The simulated cyclone track, winds at 850 hpa and 200 hpa and other thermodynamical features associated with the development of cyclones such as vertical wind shear and mid tropospheric humidity and sea surface temperature are compared with observations. The tracks of all cyclones are reasonably well simulated by the model except for h04B. The track error increases with the simulation time. The model overestimates the lowest mean sea level pressure as compared to the observations. The model represents the low level circulation and upper air divergence of wind realistic during all the cyclone cases. Keywords: RAMS, tropical cyclones, cyclone track simulationhttp://www.sciencedirect.com/science/article/pii/S2225603218300948 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ancy Thomas Basanta Kumar Samala Akshara Kaginalkar |
spellingShingle |
Ancy Thomas Basanta Kumar Samala Akshara Kaginalkar Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model Tropical Cyclone Research and Review |
author_facet |
Ancy Thomas Basanta Kumar Samala Akshara Kaginalkar |
author_sort |
Ancy Thomas |
title |
Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model |
title_short |
Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model |
title_full |
Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model |
title_fullStr |
Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model |
title_full_unstemmed |
Simulation of North Indian Ocean Tropical Cyclones Using RAMS Numerical Weather Prediction Model |
title_sort |
simulation of north indian ocean tropical cyclones using rams numerical weather prediction model |
publisher |
KeAi Communications Co., Ltd. |
series |
Tropical Cyclone Research and Review |
issn |
2225-6032 |
publishDate |
2014-02-01 |
description |
ABSTRACT: Performance of non-hydrostatic Regional Atmospheric Modeling System (RAMS) in simulating the tropical cyclones of different intensities, formed during pre and post monsoon is evaluated. Study is carried out for Orissa, Sidr, Mala, h04B, 01A, and Agni cyclones. The simulated cyclone track, winds at 850 hpa and 200 hpa and other thermodynamical features associated with the development of cyclones such as vertical wind shear and mid tropospheric humidity and sea surface temperature are compared with observations. The tracks of all cyclones are reasonably well simulated by the model except for h04B. The track error increases with the simulation time. The model overestimates the lowest mean sea level pressure as compared to the observations. The model represents the low level circulation and upper air divergence of wind realistic during all the cyclone cases. Keywords: RAMS, tropical cyclones, cyclone track simulation |
url |
http://www.sciencedirect.com/science/article/pii/S2225603218300948 |
work_keys_str_mv |
AT ancythomas simulationofnorthindianoceantropicalcyclonesusingramsnumericalweatherpredictionmodel AT basantakumarsamala simulationofnorthindianoceantropicalcyclonesusingramsnumericalweatherpredictionmodel AT aksharakaginalkar simulationofnorthindianoceantropicalcyclonesusingramsnumericalweatherpredictionmodel |
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