A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions

Details A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions

2008-02-27

arxiv.org/abs/0802.3969v1

Environmental Modelling and Software 22, 9 (2007) 1261-1269

Statistics

Applications

Scientific paper

A neural network combined to a neural classifier is used in a real time forecasting of hourly maximum ozone in the centre of France, in an urban atmosphere. This neural model is based on the MultiLayer Perceptron (MLP) structure. The inputs of the statistical network are model output statistics of the weather predictions from the French National Weather Service. With this neural classifier, the Success Index of forecasting is 78% whereas it is from 65% to 72% with the classical MLPs. During the validation phase, in the Summer of 2003, six ozone peaks above the threshold were detected. They actually were seven.

Affiliated with

Also associated with

No associations

Rating

A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-25569