Influence of Model Resolution on Ozone Predictions over Madrid Area (Spain)

Autor:	Fernando Martín, Mauricio Correa, Oier Azula, Inmaculada Palomino, Marta G. Vivanco
Rok vydání:	2008
Předmět:	chemistry.chemical_compound Model resolution Ozone chemistry Air pollution medicine Environmental science Air quality management Normalized absolute error Atmospheric sciences medicine.disease_cause Air quality index
Zdroj:	Computational Science and Its Applications – ICCSA 2008 ISBN: 9783540698388 ICCSA (1)
DOI:	10.1007/978-3-540-69839-5_13
Popis:	Modeling has become a very useful tool in air quality management. The use of an air quality model requires comparison between model results and previous observations in order to determine the capacity of the model to reproduce air pollution episodes. In this paper the influence of three different model resolutions on model predictions has been analyzed over Madrid area for 2004. A lower mean normalized absolute error was found for the highest resolution domain, when comparing hourly-predicted ozone to 2004 observations. The improvement of model predictions is more clearly observed for NO 2 . When considering an episode occurred in July, 2004, this improvement in model performance is significantly reduced. For this episode, meteorological evaluation indicates that temperature and speed predictions for the coarsest domain present worse agreement to observations than those for the other two domains.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ec1c0e89db50ae43655ac06c593521f4 https://doi.org/10.1007/978-3-540-69839-5_13 Zobrazit plný text záznamu