DocumentCode :
2422062
Title :
Dedicated High Performance Computer Project Investment (DHPI) for the Fleet Numerical/Air Force Weather Agency - The Navy Side
Author :
Sestak, Michael ; Bishop, Craig ; Holt, Teddy ; Nachamkin, Jason ; Chen, Sue ; McLay, Justin ; Doyle, James
Author_Institution :
Fleet Numerical Meteorol. & Oceanogr. Center, Monterey, CA
fYear :
2008
fDate :
14-17 July 2008
Firstpage :
259
Lastpage :
261
Abstract :
This Dedicated HPC Project Investment (DHPI) system is in support of the Fleet Numerical/Air Force Weather Agency Joint Ensemble Forecast System (JEFS). The objective of the JEFS project is to develop an ensemble modeling system for stochastic mesoscale weather forecasts which includes both initial condition uncertainty and model formulation uncertainty. These stochastic weather forecasts provide both probability of occurrence of weather events and an estimate of forecast reliability. The DHPI system is split between the Air Force Weather Agency (AFWA) in Omaha, NE, and the Fleet Numerical Meteorology and Oceanography Center (FNMOC) in Monterey, CA. Part of the model formulation uncertainty included in the ensemble is due to different forecast models and data assimilation systems in use at FNMOC and AFWA. Given the success indicated by the results from each of the individual AFWA and FNMOC mesoscale ensemble systems, it is expected that even more reliable probability forecasts and more robust estimates of forecast reliability will be possible with a combined ensemble.
Keywords :
parallel machines; weather forecasting; Air Force Weather Agency; Fleet Numerical Meteorology and Oceanography Center; dedicated high performance computer project investment; ensemble modeling system; weather forecasts; Data assimilation; High performance computing; Investments; Meteorology; Military computing; Predictive models; Stochastic processes; Stochastic systems; Uncertainty; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
DoD HPCMP Users Group Conference, 2008. DOD HPCMP UGC
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3323-0
Type :
conf
DOI :
10.1109/DoD.HPCMP.UGC.2008.81
Filename :
4755875
Link To Document :
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