TY - GEN
T1 - Designing a collaborative cyberinfrastructure for event-driven coastal modeling
AU - Bogden, Philip
AU - Allen, Gabrielle
AU - Creager, Gerry
AU - Graves, Sara
AU - Luettich, Rick
AU - Ramakrishnan, Lavanya
PY - 2006
Y1 - 2006
N2 - The SURA Coastal Ocean Observing & Prediction (SCOOP) program is building cyberinfrastructure (CI) to enable advanced real-time ensemble forecasting of the coastal impacts from storms and hurricanes. This prototype of a reliable, flexible, grid-enabled forecast system integrates real-time distributed data and computer models for the coasts of the southeastern United States. The SCOOP system employs a service-oriented architecture with archive and transport services, metadata catalog, resource management, and portal interfaces. Currently, the SCOOP system uses distributed HPC machines (SCOOP, SURAgrid, others) to meet on-demand requirements. Geospatial web services disseminate the forecast results.We provide the architecture overview and describe the currently deployed system for Hurricane Season 2006 as an example in which a storm advisory automatically initiates a workflow that delivers timely forecasts. The system generates a wind-ensemble and then configures, deploys, and analyzes a variety of water level and wave models across distributed HPC resources to deliver timely forecasts.
AB - The SURA Coastal Ocean Observing & Prediction (SCOOP) program is building cyberinfrastructure (CI) to enable advanced real-time ensemble forecasting of the coastal impacts from storms and hurricanes. This prototype of a reliable, flexible, grid-enabled forecast system integrates real-time distributed data and computer models for the coasts of the southeastern United States. The SCOOP system employs a service-oriented architecture with archive and transport services, metadata catalog, resource management, and portal interfaces. Currently, the SCOOP system uses distributed HPC machines (SCOOP, SURAgrid, others) to meet on-demand requirements. Geospatial web services disseminate the forecast results.We provide the architecture overview and describe the currently deployed system for Hurricane Season 2006 as an example in which a storm advisory automatically initiates a workflow that delivers timely forecasts. The system generates a wind-ensemble and then configures, deploys, and analyzes a variety of water level and wave models across distributed HPC resources to deliver timely forecasts.
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U2 - 10.1145/1188455.1188646
DO - 10.1145/1188455.1188646
M3 - Conference contribution
AN - SCOPUS:34548206773
SN - 0769527000
SN - 9780769527000
T3 - Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06
BT - Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06
ER -