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Activity Number:
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271
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #308921 |
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Title:
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Calibration of an Air Quality Model
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Author(s):
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Serge Guillas*+ and Lew Lefton and Yunsoo Choi and Yuhang Wang
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Companies:
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Georgia Institute of Technology and Georgia Institute of Technology and Georgia Institute of Technology and Georgia Institute of Technology
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Address:
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686 Cherry Street, Atlanta, GA, 30332-0160,
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Keywords:
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calibration ; ozone ; computer model ; MCMC
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Abstract:
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We calibrate a regional chemical transport model (RAQAST) for surface ozone. The controllable input variables describe the meteorology. The calibration parameters are the diffusion (corresponding to boundary layer height), nitrogen oxides, anthropogenic VOC, biogenic isoprene, and effects of clouds on photolysis. A set of 100 runs of RAQAST enable us to find the best parameters. Time series and spatial approaches are discussed. We use a combination of Gaussian stochastic processes and MCMC techniques to find the best tuning parameters for forecasting purposes.
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