Radon short range forecasting through time series preprocessing and neural network modeling

Details Radon short range forecasting through time series preprocessing and neural network modeling Radon short range forecasting through time series preprocessing and neural network modeling

Apr 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30g..39p&link_type=abstract

Geophysical Research Letters, Volume 30, Issue 7, pp. 39-1, CiteID 1386, DOI 10.1029/2002GL016726

Physics

4

Atmospheric Composition And Structure: General Or Miscellaneous, Meteorology And Atmospheric Dynamics: Boundary Layer Processes, Meteorology And Atmospheric Dynamics: Theoretical Modeling

Scientific paper

In the framework of studies about the relevance of radon progeny measurements for the estimation of the mixing height, here a time series of radon data is analyzed and used for a short range forecasting activity. After a preprocessing of the time series in order to subtract the known periodicities, we perform forecasts of the future values of the residual series by means of neural network modeling. Finally we apply a simple box model to real data and forecast results, and obtain useful predictions of the mixing height during stability conditions.

Affiliated with

Also associated with

No associations

Rating

Radon short range forecasting through time series preprocessing and neural network modeling 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 Radon short range forecasting through time series preprocessing and neural network modeling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Radon short range forecasting through time series preprocessing and neural network modeling will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-847435