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Improved Meteorological Data for Air Quality Forecasting Models: Assessment

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Air Pollution Modeling and its Application XXII

Abstract

In this study we assess the impact of improved meteorological data over the Milan area for the forecasting of air quality.

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References

  1. Borghi S, Corbetta G, De Biase L (2000) A heat island model for large urban areas and its application to Milan. Il Nuovo Ci- mento C 23(5):547–566

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  2. Borghi S, Favaron M, Frustaci G (2011) Surface meteorological monitoring network at mesoscale β, γ and microscale α: quality, reliability and representativeness requirements. In: EESMS 2011 Proceedings, Milan

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  3. Curci S, Virlan M, Lavecchia C (2011) Traceability and reliability on meteorological measures. In: EESMS 2011 Proceedings, Milan

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Acknowledgements

Cristina Lavecchia and SavinoCurci (Climate Consulting s.r.l.) provided data, metadata and technical information about CN stations and procedures.

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Correspondence to Sergio Borghi .

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© 2014 Springer Science+Business Media Dordrecht

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Borghi, S., Favaron, M., Frustaci, G. (2014). Improved Meteorological Data for Air Quality Forecasting Models: Assessment. In: Steyn, D., Builtjes, P., Timmermans, R. (eds) Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5577-2_43

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