Impact of Special Features of Numerically Predicted and Analysed Meteorological Data on the Results of Ozone Forecast by a PBL-CTM View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2000

AUTHORS

J. Flemming , E. Reimer , R. Stern

ABSTRACT

The Freie Universität Berlin and IVU1 develop a complex ozone forecast system, which combines statistical and fuzzy methods with regional Eulerian transport modelling. Each method is an independent forecast tool focussing on different spatial and temporal scales. The statistically and fuzzy based forecast is locally applied, whereas the Eulerian transport model predicts the large scale development of ozone patterns. The results of the transport modelling will be used as an additional parameter for the statistical and fuzzy methods in a framework of a neuro fuzzy module. Ideally, the combination of both approaches shall improve the forecast performance (Reimer and Dlabka, 1998). More... »

PAGES

39-46

Book

TITLE

Air Pollution Modeling and Its Application XIII

ISBN

978-1-4613-6863-2
978-1-4615-4153-0

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4615-4153-0_4

DOI

http://dx.doi.org/10.1007/978-1-4615-4153-0_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050437027


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