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dc.contributorSonia Esperanca Program Manageren_US
dc.contributorMatthew Jones |en_US
dc.contributor.authorBursik, Marcus Principal Investigatoren_US
dc.contributor.othermib@buffalo.eduen_US
dc.dateMay 31, 2011en_US
dc.date.accessioned2011-04-08T19:27:35Zen_US
dc.date.accessioned2011-04-19T18:33:59Z
dc.date.availableJune 1, 2010en_US
dc.date.available2011-04-08T19:27:35Zen_US
dc.date.available2011-04-19T18:33:59Z
dc.date.issued2011-04-08T19:27:35Zen_US
dc.identifier1041775en_US
dc.identifier1041775en_US
dc.identifier.urihttp://hdl.handle.net/10477/1274
dc.descriptionGrant Amount: $ 76525en_US
dc.description.abstractThis RAPID (Rapid Response) project is a collaborative effort by scientists from University at Buffalo (UB), the Geophysical Institute at the University of Alaska - Fairbanks (UAF-GI) and University to make an attempt to model the ash dispersal due to the volcanic eruption at Eyjafjallajokull, Iceland, that has wreaked havoc on European aviation since ash emissions began on 14 April 2010. The advecting downwind plume is thought to be a serious hazard to aircraft, with potential for damage to jet engines and abrasion of airplane leading edges. The proposed work could have important ramifications for air traffic over the next months, as past Eyjafjallajokull eruptions have continued for over one year. It is proposed to use ensemble forecasting to develop probabilistic ash cloud maps at different times. More specifically, the 'Puff' simulation code will be used to hindcast the motion of the Eyjafjallajokull ash cloud through time beginning on 14 April 2010. Variability in the height and loading of the eruption column will be introduced through the column model Bent. Windfield data from several sources and with differing resolutions will be used. Output variability due to uncertain input parameters and initial conditions, and random forcing, will be determined. The output will be validated through comparison with satellite data. The principal scientific goals of this project are: to understand how uncertain input variables and random forcing affect the output of Puff simulations of the Eyjafjallajokull cloud, to validate output against satellite data, and to explore the possibility of producing improved assessments of ash cloud hazards. It is expected that the work will have implications for ash cloud tracking as well as probabilistic hazards assessment and ensemble forecasting.en_US
dc.titleRAPID RESEARCH: Particle Trajectories in Volcanic Plumes: Tracking the 2010 Eyjafjallajokull Plumeen_US
dc.typeNSF Granten_US


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