TY - GEN
T1 - Scalable and automated workflow in mining large-scale severe-storm simulations
AU - Jiang, Lei
AU - Allen, Gabrielle
AU - Chen, Qin
PY - 2011
Y1 - 2011
N2 - The simulation of large-scale complex systems, such as modeling the effects of hurricanes or storms in coastal environments, typically requires a large amount of computing resources in addition to data storage capacity. To make an efficient prediction of the potential storm surge height for an incoming hurricane, surrogate models, which are computationally cheap and can reach a comparable level of accuracy with simulations, are desired. In this paper, we present a scalable and automated workflow for surrogate modeling with hurricane-related simulation data.
AB - The simulation of large-scale complex systems, such as modeling the effects of hurricanes or storms in coastal environments, typically requires a large amount of computing resources in addition to data storage capacity. To make an efficient prediction of the potential storm surge height for an incoming hurricane, surrogate models, which are computationally cheap and can reach a comparable level of accuracy with simulations, are desired. In this paper, we present a scalable and automated workflow for surrogate modeling with hurricane-related simulation data.
KW - automated workflow
KW - data mining
KW - scalability
KW - severe-storm simulation
KW - surrogate model
UR - http://www.scopus.com/inward/record.url?scp=79961198406&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79961198406&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22351-8_45
DO - 10.1007/978-3-642-22351-8_45
M3 - Conference contribution
AN - SCOPUS:79961198406
SN - 9783642223501
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 579
EP - 580
BT - Scientific and Statistical Database Management - 23rd International Conference, SSDBM 2011, Proceedings
T2 - 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011
Y2 - 20 July 2011 through 22 July 2011
ER -