Number of the records: 1
A Rigorous Inter-Comparison of Ground-Level Ozone Predictions
- 1.0404801 - UIVT-O 20030021 RIV GB eng J - Journal Article
Schlink, U. - Dorling, S.R. - Pelikán, Emil - Nunnari, G. - Cawley, C. - Junninen, H. - Greig, A. - Foxall, R. - Eben, Kryštof - Chatterton, T. - Vondráček, Jiří - Richter, M. - Dostál, Michal - Bertucco, L. - Kolehmainen, M. - Doyle, M.
A Rigorous Inter-Comparison of Ground-Level Ozone Predictions.
Atmospheric Environment. Roč. 37, - (2003), s. 3237-3253. ISSN 1352-2310. E-ISSN 1873-2844
Grant - others:APPETISE(XE) IST-1999-11764
Institutional research plan: AV0Z1030915
Keywords : statistical methods * air polution * neural networks
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 2.338, year: 2003
Novel statistical approaches to prediction have recently been shown to perform well in several scientific fields but have not, until now, been comprehensively evaluated for predicting air pollution. In this paper we report on a model inter-comparison exercise in which 15 different statistical techniques for ozone forecasting were applied to ten data sets representing different meteorological and emission conditions throughout Europe.We also attempt to compare the performance of the statistical techniques...
Permanent Link: http://hdl.handle.net/11104/0125034
Number of the records: 1