Implementation of a Markov Chain Monte Carlo method to inorganic aerosol modeling of observations from the MCMA-2003 campaign – Part I: Model description and application to the La Merced site

Implementation of a Markov Chain Monte Carlo method to inorganic aerosol modeling of observations from the MCMA-2003 campaign – Part I: Model description and application to the La Merced site

The equilibrium inorganic aerosol model ISORROPIA was embedded in a Markov Chain Monte Carlo algorithm to develop a powerful tool to analyze aerosol data and predict gas phase concentrations where these are unavailable. The method directly incorporates measurement uncertainty, prior knowledge, and p...

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Bibliographic Details
Main Authors: F. M. San Martini, E. J. Dunlea, M. Grutter, T. B. Onasch, J. T. Jayne, M. R. Canagaratna, D. R. Worsnop, C. E. Kolb, J. H. Shorter, S. C. Herndon, M. S. Zahniser, J. M. Ortega, G. J. McRae, L. T. Molina, M. J. Molina
Format: Article
Language:English
Published: Copernicus Publications 2006-01-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/6/4867/2006/acp-6-4867-2006.pdf

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http://www.atmos-chem-phys.net/6/4867/2006/acp-6-4867-2006.pdf

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