TY - GEN
T1 - Simulation and visualization of the cyclonic storm chapala over the arabian sea: a case study
AU - Theubl, Thomas
AU - Dasari, Hari Prasad
AU - Hoteit, Ibrahim
AU - Srinivasan, Madhusudhanan
N1 - 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.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/622602
UR - http://ieeexplore.ieee.org/document/7756074/
UR - http://www.scopus.com/inward/record.url?scp=85006699174&partnerID=8YFLogxK
U2 - 10.1109/KACSTIT.2016.7756074
DO - 10.1109/KACSTIT.2016.7756074
M3 - Conference contribution
SN - 9781467389563
BT - 2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -