## Abstract A physically based model for groundโlevel ozone forecasting is evaluated for Santiago, Chile. The model predicts the daily peak ozone concentration, with the daily rise of air temperature as input variable; weekends and rainy days appear as interventions. This model was used to analyse
โฆ LIBER โฆ
Nonlinear models for ground-level ozone forecasting
โ Scribed by Silvano Bordignon; Carlo Gaetan; Francesco Lisi
- Book ID
- 110544309
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Weight
- 922 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1613-981X
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## Abstract Multiโstep prediction using high frequency environmental data is considered. The complex dynamics of ground ozone often requires models involving covariates, multiple frequency periodicities, long memory, nonlinearity and heteroscedasticity. For these reasons parametric models, which in
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