Simulation and visualization of the cyclonic storm chapala over the arabian sea: a case study

Thomas Theubl, Hari Prasad Dasari, Ibrahim Hoteit, Madhusudhanan Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


We use the high resolution Weather Research and Forecasting (WRF) model to predict the characteristics of an intense cyclone, Chapala, which formed over the Arabian Sea in October/November 2015. The implemented model consists of two-way interactive nested domains of 9 and 3km. The prediction experiment of the cyclone started on 1200UTC of 26 October 2015 to forecast its landfall and its intensity based on NCEP global model forecasting fields. The results show that the movement of Chapala is well reproduced by our model up to 72 hours, after which track errors become significant. The intensity and cloud features of the extreme event as well as the distribution of hydrometeors is well represented by the model. All the characteristics including eye and eye-wall regions, mesoscale convective systems and distribution of different hydrometers during the lifetime of Chapala are very well simulated. The model output results in several hundred gigabytes of data, we analyze and visualize these data using state of the art computational and visualization software for representing different characteristics of Chapala and to verify the accuracy of the model. We further demonstrate the usefulness of a 3D virtual reality environment and its potential importance in decision-making system development.
Original languageEnglish (US)
Title of host publication2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781467389563
StatePublished - Dec 1 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by King Abdullah University of Science and Technology (KAUST), Saudi Arabia and the Saudi ARAMCO-KAUST Marine Environmental Research Center (SAKMERC). This research made use of the resources of the Supercomputing Laboratory at KAUST.


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