Canadian Aerosol Module: A size-segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development
Fiche du document
- handle: 10670/1.x5l41d
- Gong, S. L.; Barrie, L. A.; Blanchet, J.-P.; von Salzen, K.; Lohmann, U,; Lesins, G.; Spacek, L.; Zhang, L.M.; Girard, E.; Lin, H.; Leaitch, R.; Leighton, H.; Chylek, P. et Huang, P. (2003). « Canadian Aerosol Module: A size-segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development ». Journal of Geophysical Research: Atmospheres, 108(D1), AAC3-1-AAC3-16.
Ce document est lié à :
http://archipel.uqam.ca/8235/
Ce document est lié à :
http://dx.doi.org/10.1029/2001JD002002
Ce document est lié à :
doi:10.1029/2001JD002002
Mots-clés
Atmospheric aerosols sectional modeling climate air qualitySujets proches
Pattern Model Science of climate Climate Climate science Quality of air Air--QualityCiter ce document
S. L. Gong et al., « Canadian Aerosol Module: A size-segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development », UQAM Archipel : articles scientifiques, ID : 10670/1.x5l41d
Métriques
Partage / Export
Résumé
A size-segregated multicomponent aerosol algorithm, the Canadian Aerosol Module (CAM), was developed for use with climate and air quality models. It includes major aerosol processes in the atmosphere: generation, hygroscopic growth, coagulation, nucleation, condensation, dry deposition/sedimentation, below-cloud scavenging, aerosol activation, a cloud module with explicit microphysical processes to treat aerosol-cloud interactions and chemical transformation of sulphur species in clear air and in clouds. The numerical solution was optimized to efficiently solve the complicated size-segregated multicomponent aerosol system and make it feasible to be included in global and regional models. An internal mixture is assumed for all types of aerosols except for soil dust and black carbon which are assumed to be externally mixed close to sources. To test the algorithm, emissions to the atmosphere of anthropogenic and natural aerosols are simulated for two aerosol types: sea salt and sulphate. A comparison was made of two numerical solutions of the aerosol algorithm: process splitting and ordinary differential equation (ODE) solver. It was found that the process-splitting method used for this model is within 15% of the more accurate ODE solution for the total sulphate mass concentration and