Simulating the characteristics of tropical cyclones over the South West Indian Ocean using a Stretched-Grid Global Climate Model

Maoyi, Molulaqhooa Linda; Abiodun, Babatunde J.; Prusa, Joseph M.; Veitch, Jennifer A.

doi:10.1007/s00382-017-3706-x

Cited by 10 publications

(1 citation statement)

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“…Both reanalyses data sets were interpolated to a common longitude and latitude using bilinear interpolation. Maoyi et al (2018) reported that the reanalysis data sets (ERA-Interim in particular) perform low in producing TCs with a deep pressure center as low as the observed; thus it is acknowledged that the reanalysis data sets might have limitations when used to study TC. Fig.…”

Section: Methodsmentioning

confidence: 99%

Can synoptic patterns influence the track and formation of tropical cyclones in the Mozambique Channel?

Ibebuchi¹

2021

Preprint

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The influence of large-scale circulation patterns on the track and formation of tropical cyclones (TCs) in the Mozambique Channel is investigated in this paper. The output of the hourly classification of circulation types (CTs), in Africa, south of the equator, using rotated principal component analysis on the T-mode matrix (variable is time series and observation is grid points) of sea level pressure (SLP) from ERA5 reanalysis from 2010 to 2019 was used to investigate the time development of the CTs at a sub-daily scale. The result showed that at specific seasons, certain CTs can persist for a longer time so that their features overlap with other CTs. CTs with synoptic features favorable for the development of TC in the Mozambique Channel were noted. The 2019 TC season in the Mozambique Channel characterized by TC Idai in March and TC Kenneth afterward in April was used in evaluating how the CTs designated to have TC characteristics played role in the formation and track of the TCs towards their maximum intensity. The results were discussed and it generally showed that large-scale circulation patterns might influence the formation and track of the TCs in the Mozambique Channel especially through the different modes of variability associated with the western branch of the Mascarene high.

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Section: Methodsmentioning

confidence: 99%