Probabilistic Visibility Forecasting Using Neural Networks |
| |
| Authors: | John Bjørnar Bremnes Silas Chr Michaelides |
| |
| Institution: | (1) Norwegian Meteorological Institute, Box 43 Blindern, NO-0313 Oslo, Norway;(2) Meteorological Service, Nicosia, 1418, Cyprus |
| |
| Abstract: | Statistical methods are widely applied in visibility forecasting. In this article, further improvements are explored by extending
the standard probabilistic neural network approach. The first approach is to use several models to obtain an averaged output,
instead of just selecting the overall best one, while the second approach is to use deterministic neural networks to make
input variables for the probabilistic neural network. These approaches are extensively tested at two sites and seen to improve
upon the standard approach, although the improvements for one of the sites were not found to be of statistical significance. |
| |
| Keywords: | Visibility forecasting neural networks |
| 本文献已被 SpringerLink 等数据库收录！ |
|
