An optimal interpolation technique is formalized and applied to the output of an air quality deterministic model in order to improve the description of the evolution of pollutant (namely particulate matter, PM10 in atmosphere. The paper presents an application of the methodology to the Northern Italy region, often affected by high concentration of PM10. The validation of the methodology performed for winter 2004 shows that the re-analysis highly improves the description of the phenomena both in terms of mean error and correlation coefficient.
Optimal interpolation to re-analyse PM10 concentration modelling simulations
Candiani Gabriele;
2009
Abstract
An optimal interpolation technique is formalized and applied to the output of an air quality deterministic model in order to improve the description of the evolution of pollutant (namely particulate matter, PM10 in atmosphere. The paper presents an application of the methodology to the Northern Italy region, often affected by high concentration of PM10. The validation of the methodology performed for winter 2004 shows that the re-analysis highly improves the description of the phenomena both in terms of mean error and correlation coefficient.File in questo prodotto:
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