Evaluating the Performance of Era5 Reanalysis Datasets in Analysing Escs ‘Mocha’ Over the Bay of Bengal

Extremely severe cyclonic storm (ESCS) 'Mocha' (2023), formed over the Bay of Bengal, has been analyzed using the ERA5 reanalysis datasets. The track, mean sea level pressure (MSLP) and maximum sustained wind (MSW) datasets were arranged from India meteorological department (IMD) observational datasets during the life cycle of ESCS 'Mocha'. The available IMD observations along Bay of Bengal (BoB), and the GPM rainfall observations are used to compare ERA5 reanalysis datasets. The parameters, viz. track, MSLP, MSW have been analyzed and compared with IMD observed datasets. It is seen that up to $\mathbf{1 6 8} \mathbf{- h}$ ERA5 reanalysis datasets of track and intensities have significantly improved during intense stages and the MSLP and MSW parameters analysis is reliable for up to 48 h. The ERA5 reanalysis datasets showed that the low value of MSLP in the range 961.1807-1004.849 $\mathbf{h P a}$ along the track of the TC, MSW range of 21.88056183-64.25743103 kt. Intense rainfall along vertical direction of the quadrant of the system favored the rapid intensification of ESCS 'Mocha'. The MSW variation during the intense and system's landfall is also captured, and ERA5 agree with the observed data before ESCS stage and around the time of landfall.

• Publication year

  2025

• Venue

  2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)

• Publication date

  2025-01-16

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/IC3ECSBHI63591.2025.10991231
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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