Ozone Data Analyses To Develop An Immediate
Warning System
Author(s)
U. Schlink, O. Herbarth & M. Richter
Abstract
A method is proposed for short-term ambient ozone prediction. The basic
assumption is that ozone concentration profiles can be implied from
preceeding parameters, the predictors. For this purpose, certain properties
have to be identified during the time period prior to the forecasting point in
order to calculate the probability that the threshold of 0.18 mg/nf ozone will
be exceeded.
Data analyses indicate that ambient ozone time series show periodicities and
autocorrelation that can be used for predictive purposes. On the one hand, the
wanted parameters are suitable features of the measurement recordings as the
Os and the NOz values at the forecasting point. These are the direct predictors.
On the other hand, it is possi
Keywords
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