Tropical cyclone size asymmetry index and climatology

Chan, Kelvin T. F.; Zhang, Kailin; Xu, Lifeng

doi:10.1007/s00382-023-06840-5

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…This study implemented the non-hydrostatic equation in the WRF version 3.8.1. (Chan et al, 2023) downloaded from the official MMM NCAR website. The WRF model was developed as a result of the collaboration between the National Centre for Atmospheric Research (NCAR), National Centre for Environmental Prediction (NCEP), Forecast System Laboratory of the NOAA (NOAA/FSL) and Air Force Weather Agency (AFWA).…”

Section: Wrf Modelmentioning

confidence: 99%

Investigation of the Development of Tropical Storm Nicholas based on Global and Regional Climate Data

Wahyuni,

Shabrina,

Lobma

et al. 2023

For. Geo.

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This paper studies the simulation of Cyclone Nicholas that occurred close to the coastal area of Western Australia and fell on the mainland of Southwestern Australia. The simulation was conducted via a dynamical downscaling model, Weather Research and Forecasting (WRF), to obtain a higher resolution with reference to the regional climate data. The model simulation is generated using a global reanalysis of climate data for the initial and lateral boundary conditions. We investigated the response of the tropical storm to the model regarding the track and intensity using a modified Kyklop method that appears more appropriate for a landfall cyclone. Our study suggests that the regional climate data computed by the model deviates from the storm track of the global climate data forcing field. In this study, the track of the simulated storm is parallel to the satellite data, but it is shifted slightly to the east, closer to the mainland. Nevertheless, the model simulation can implement the intensity of the storm as strongly as the observation, while the forcing data delivers substantial underestimation.

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Section: Wrf Modelmentioning

confidence: 99%