A fast Bayesian method for updating and forecasting hourly ozone levels
A Bayesian hierarchical space-time model is proposed by combining information from real-time ambient AIRNow air monitoring data, and output from a computer simulation model known as the Community Multi-scale Air Quality (Eta-CMAQ) forecast model. A model validation analysis shows that the model pred...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2009-11-09.
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| Subjects: | |
| Online Access: | Get fulltext |