A Rigorous Inter-Comparison of Ground-Level Ozone Predictions

0404801 - UIVT-O 20030021 RIV GB eng J - Článek v odborném periodiku
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 ostatní: APPETISE(XE) IST-1999-11764
Výzkumný záměr: AV0Z1030915
Klíčová slova: statistical methods * air polution * neural networks
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
Impakt faktor: 2.338, rok: 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...
Trvalý link: http://hdl.handle.net/11104/0125034