Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6342474 | Atmospheric Environment | 2012 | 17 Pages |
Abstract
Finally, PM10 performance was rather poor for both models in most regions. CAMx performed always better than CHIMERE in terms of bias, while CHIMERE score for correlation was always higher than CAMx. As already mentioned, vertical mixing is one cause of such discrepancies in correlation. Differently, the stronger underestimation experienced by CHIMERE was mainly influenced by temporal smoothing of the boundary conditions, underestimation of low level emissions (mainly related to fires) and more intense depletion by wet deposition.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
G. Pirovano, A. Balzarini, B. Bessagnet, C. Emery, G. Kallos, F. Meleux, C. Mitsakou, U. Nopmongcol, G.M. Riva, G. Yarwood,