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

Handle URI:
http://hdl.handle.net/10754/622602
Title:
Simulation and visualization of the cyclonic storm chapala over the arabian sea: a case study
Authors:
Theubl, Thomas; Dasari, Hari Prasad ( 0000-0003-0628-4481 ) ; Hoteit, Ibrahim ( 0000-0002-3751-4393 ) ; Srinivasan, Madhusudhanan
Abstract:
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.
KAUST Department:
KAUST Visualization Laboratory (KVL); Physical Sciences and Engineering (PSE) Division
Citation:
Theubl T, Dasari HP, Hoteit I, Srinivasan M (2016) Simulation and visualization of the cyclonic storm chapala over the arabian sea: a case study. 2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT). Available: http://dx.doi.org/10.1109/KACSTIT.2016.7756074.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT)
Issue Date:
1-Dec-2016
DOI:
10.1109/KACSTIT.2016.7756074
Type:
Conference Paper
Sponsors:
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.
Additional Links:
http://ieeexplore.ieee.org/document/7756074/
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; KAUST Visualization Laboratory (KVL)

Full metadata record

DC FieldValue Language
dc.contributor.authorTheubl, Thomasen
dc.contributor.authorDasari, Hari Prasaden
dc.contributor.authorHoteit, Ibrahimen
dc.contributor.authorSrinivasan, Madhusudhananen
dc.date.accessioned2017-01-02T09:55:32Z-
dc.date.available2017-01-02T09:55:32Z-
dc.date.issued2016-12-01en
dc.identifier.citationTheubl T, Dasari HP, Hoteit I, Srinivasan M (2016) Simulation and visualization of the cyclonic storm chapala over the arabian sea: a case study. 2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT). Available: http://dx.doi.org/10.1109/KACSTIT.2016.7756074.en
dc.identifier.doi10.1109/KACSTIT.2016.7756074en
dc.identifier.urihttp://hdl.handle.net/10754/622602-
dc.description.abstractWe 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.en
dc.description.sponsorshipThis 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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7756074/en
dc.subjectVisualizationen
dc.subjectTropical Cycloneen
dc.subjectArabian Seaen
dc.subjectHydrometeorsen
dc.subjectCloud coveren
dc.subjectCyclone Tracken
dc.subjectSimulationen
dc.titleSimulation and visualization of the cyclonic storm chapala over the arabian sea: a case studyen
dc.typeConference Paperen
dc.contributor.departmentKAUST Visualization Laboratory (KVL)en
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journal2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT)en
kaust.authorTheubl, Thomasen
kaust.authorDasari, Hari Prasaden
kaust.authorHoteit, Ibrahimen
kaust.authorSrinivasan, Madhusudhananen
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