Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data

The present study investigates the variation in large-scale environments during the maximum intensity of tropical cyclones (TCs) formed in the Bay of Bengal. TC tracks are classified into four groups based on their direction of movement using the <i>k</i>-means clustering technique. Resu...

Full description

Bibliographic Details
Main Authors: Mohan Murali Krishna Gorja, Venkata Sai Gulakaram, Naresh Krishna Vissa, Yesubabu Viswanadhapalli, Bhishma Tyagi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/2/333
_version_ 1797622417744461824
author Mohan Murali Krishna Gorja
Venkata Sai Gulakaram
Naresh Krishna Vissa
Yesubabu Viswanadhapalli
Bhishma Tyagi
author_facet Mohan Murali Krishna Gorja
Venkata Sai Gulakaram
Naresh Krishna Vissa
Yesubabu Viswanadhapalli
Bhishma Tyagi
author_sort Mohan Murali Krishna Gorja
collection DOAJ
description The present study investigates the variation in large-scale environments during the maximum intensity of tropical cyclones (TCs) formed in the Bay of Bengal. TC tracks are classified into four groups based on their direction of movement using the <i>k</i>-means clustering technique. Results from the pressure level and azimuthal-averaged radial-height wind fields near the vortex centre show weak deep layer wind shear (WS) and abundant moisture in all clusters. However, large-scale environmental differences in the northwest quadrant are identified with a contrasting combination of WS and humid environment between clusters. The composites of OLR are also analyzed during maximum intensities of TCs. Results show that anomalous high OLR in the west–northwest direction from the vortex centre, along with the low OLR around the vortex centre, signify the formation of a strong OLR dipole during TC peak intensity. Furthermore, OLR dipole metrics, such as magnitude, orientation, and distance, are observed by having mean of 235 Wm<sup>−2</sup>, 147, and 1782 km along with standard deviation of 14 Wm<sup>−2</sup>, 34°, and 492 km, respectively. The identified large-scale environmental fields from this study could provide valuable insights for predicting the intensity and movement of TCs.
first_indexed 2024-03-11T09:09:59Z
format Article
id doaj.art-6f4adc7cb49c4b8abd4f60964f31d3a9
institution Directory Open Access Journal
issn 2073-4433
language English
last_indexed 2024-03-11T09:09:59Z
publishDate 2023-02-01
publisher MDPI AG
record_format Article
series Atmosphere
spelling doaj.art-6f4adc7cb49c4b8abd4f60964f31d3a92023-11-16T19:03:22ZengMDPI AGAtmosphere2073-44332023-02-0114233310.3390/atmos14020333Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis DataMohan Murali Krishna Gorja0Venkata Sai Gulakaram1Naresh Krishna Vissa2Yesubabu Viswanadhapalli3Bhishma Tyagi4Department of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela 769008, IndiaIndian National Centre for Ocean Information Services (INCOIS), Hyderabad 500090, IndiaDepartment of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela 769008, IndiaWeather and Climate Research Group, National Atmospheric Research Laboratory, Gadanki, Tirupati 517112, IndiaDepartment of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela 769008, IndiaThe present study investigates the variation in large-scale environments during the maximum intensity of tropical cyclones (TCs) formed in the Bay of Bengal. TC tracks are classified into four groups based on their direction of movement using the <i>k</i>-means clustering technique. Results from the pressure level and azimuthal-averaged radial-height wind fields near the vortex centre show weak deep layer wind shear (WS) and abundant moisture in all clusters. However, large-scale environmental differences in the northwest quadrant are identified with a contrasting combination of WS and humid environment between clusters. The composites of OLR are also analyzed during maximum intensities of TCs. Results show that anomalous high OLR in the west–northwest direction from the vortex centre, along with the low OLR around the vortex centre, signify the formation of a strong OLR dipole during TC peak intensity. Furthermore, OLR dipole metrics, such as magnitude, orientation, and distance, are observed by having mean of 235 Wm<sup>−2</sup>, 147, and 1782 km along with standard deviation of 14 Wm<sup>−2</sup>, 34°, and 492 km, respectively. The identified large-scale environmental fields from this study could provide valuable insights for predicting the intensity and movement of TCs.https://www.mdpi.com/2073-4433/14/2/333Bay of BengalERA5OLR dipoletropical cyclones
spellingShingle Mohan Murali Krishna Gorja
Venkata Sai Gulakaram
Naresh Krishna Vissa
Yesubabu Viswanadhapalli
Bhishma Tyagi
Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
Atmosphere
Bay of Bengal
ERA5
OLR dipole
tropical cyclones
title Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
title_full Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
title_fullStr Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
title_full_unstemmed Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
title_short Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
title_sort analysis of large scale environmental features during maximum intensity of tropical cyclones using reanalysis data
topic Bay of Bengal
ERA5
OLR dipole
tropical cyclones
url https://www.mdpi.com/2073-4433/14/2/333
work_keys_str_mv AT mohanmuralikrishnagorja analysisoflargescaleenvironmentalfeaturesduringmaximumintensityoftropicalcyclonesusingreanalysisdata
AT venkatasaigulakaram analysisoflargescaleenvironmentalfeaturesduringmaximumintensityoftropicalcyclonesusingreanalysisdata
AT nareshkrishnavissa analysisoflargescaleenvironmentalfeaturesduringmaximumintensityoftropicalcyclonesusingreanalysisdata
AT yesubabuviswanadhapalli analysisoflargescaleenvironmentalfeaturesduringmaximumintensityoftropicalcyclonesusingreanalysisdata
AT bhishmatyagi analysisoflargescaleenvironmentalfeaturesduringmaximumintensityoftropicalcyclonesusingreanalysisdata