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

Bibliographic Details
Title: Analysis of Large-Scale Environmental Features during Maximum Intensity of Tropical Cyclones Using Reanalysis Data
Authors: Mohan Murali Krishna Gorja, Venkata Sai Gulakaram, Naresh Krishna Vissa, Yesubabu Viswanadhapalli, Bhishma Tyagi
Source: Atmosphere, Vol 14, Iss 2, p 333 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Meteorology. Climatology
Subject Terms: Bay of Bengal, ERA5, OLR dipole, tropical cyclones, Meteorology. Climatology, QC851-999
More Details: 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 k-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−2, 147, and 1782 km along with standard deviation of 14 Wm−2, 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2073-4433
Relation: https://www.mdpi.com/2073-4433/14/2/333; https://doaj.org/toc/2073-4433
DOI: 10.3390/atmos14020333
Access URL: https://doaj.org/article/6f4adc7cb49c4b8abd4f60964f31d3a9
Accession Number: edsdoj.6f4adc7cb49c4b8abd4f60964f31d3a9
Database: Directory of Open Access Journals
More Details
ISSN:20734433
DOI:10.3390/atmos14020333
Published in:Atmosphere
Language:English