Bgj. Massart et al., OZONE FORECASTING FROM METEOROLOGICAL VARIABLES PART II - DAILY MAXIMUM GROUND-LEVEL OZONE CONCENTRATION FROM LOCAL WEATHER FORECASTS, Chemometrics and intelligent laboratory systems, 42(1-2), 1998, pp. 191-197
A ground-level ozone concentration prediction procedure is tested unde
r real-world circumstances. Models are constructed for measured meteor
ological variables to predict ozone concentrations. Subsequently, a we
ather forecast is used as input to the prediction in order to obtain a
n estimate of the next day's maximum ozone concentration. The work inv
estigates whether the additional variance, introduced by the use of we
ather forecasts, still allows accurate ozone concentration predictions
. Two simulation studies were performed in order to check the predicti
ve ability and the effect of the weather forecast accuracy. Good predi
ction accuracy was obtained. Only 2.6% of the predictions lead to resi
duals exceeding 40 mu g/m(3). In addition, the influence of the uncert
ainty in the weather forecasts is generally low in these cases (3.39 t
o 3.75 mu g/m(3)). Real predictions in the region of Grenland, Norway,
for the summer of 1996 showed good agreement between measured and cal
culated maximum ozone levels. Only 3.5% of the predictions yielded res
iduals exceeding 40 mu g/m(3). (C) 1998 Elsevier Science B.V. All righ
ts reserved.