MOZART, a global chemical transport model for ozone and related chemical tracers: 2. Model results and evaluation

Hauglustaine, Didier; Brasseur, Guy; Walters, Stacy; Rasch, Philip J.; Müller, J. F.; Emmons, L. K.; Carroll, Mary Anne

doi:10.1029/98jd02398

Cited by 288 publications

(240 citation statements)

References 95 publications

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“…These atmospheric composition changes were found in observations (Chandra et al, 1998;Ziemke and Chandra, 1999;Fujiwara et al, 1999;Chandra et al, 2007;Logan et al, 2008) and confirmed by modelling studies (Hauglustaine et al, 1999;Sudo and Takashashi, 2001;Chandra et al, 2002;Doherty et al, 2006;Chandra et al, 2009;Nassar et al, 2009) which also tried to quantify the relative importance of the dynamically induced and the emissiondriven atmospheric composition changes. The reasons for the TCO 3 increase over the western Pacific and Indonesia durPublished by Copernicus Publications on behalf of the European Geosciences Union.…”

Section: Introductionmentioning

confidence: 54%

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

et al. 2015

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Abstract. The El Niño-Southern Oscillation (ENSO) not only affects meteorological fields but also has a large impact on atmospheric composition. Atmospheric composition fields from the Monitoring Atmospheric Composition and Climate (MACC) reanalysis are used to identify the ENSO signal in tropospheric ozone, carbon monoxide, nitrogen oxide and smoke aerosols, concentrating on the months October to December. During El Niño years, all of these fields have increased concentrations over maritime South East Asia in October. The MACC Composition Integrated Forecasting System (C-IFS) model is used to quantify the relative magnitude of dynamically induced and emission-driven changes in the atmospheric composition fields. While changes in tropospheric ozone are a combination of dynamically induced and emission-driven changes, the changes in carbon monoxide, nitrogen oxides and smoke aerosols are almost entirely emission-driven in the MACC model. The ozone changes continue into December, i.e. after the end of the Indonesian fire season while changes in the other fields are confined to the fire season.

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Section: Introductionmentioning

confidence: 54%

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

et al. 2015

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“…Unfortunately the NO/NO 2 and OH/HO 2 diagnostics were not available for the runs discussed here, but the result has been illustrated by other modeling studies e.g. Hauglustaine et al (1998) calculated a decrease by a factor five in HO 2 /OH in NH summer from the ground up to 12 km. Removal of NO x by conversion into HNO 3 followed by washout (reaction 1) is generally faster in the lower troposphere, which would appear to be inconsistent with the phenomenon occurring in the upper levels.…”

Section: Run 3 (2100 No X Fossil Fuel)mentioning

confidence: 85%

Sensitivity studies of oxidative changes in the troposphere in 2100 using the GISS GCM

2003

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“…Often, in GCM applications the oxidant concentrations are not calculated on-line. The global threedimensional daily averaged fields of OH, O 3 , H 2 O 2 and NO 3 from the NCAR MOZART model Hauglustaine et al, 1998] for one year are imported to CAM. A strong diurnal variation is imposed on mixing ratios of OH and NO 3 according to the cosine of solar zenith angle with an average values equal to that imported from MOZART.…”

Section: Clear-sky Processes 221 Sulphur Chemistrymentioning

confidence: 99%

Canadian Aerosol Module: A size‐segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development

Gong¹,

et al. 2003

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[1] 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 <1% accurate for sea-salt concentration. Furthermore, it is computationally more than 100 times faster. The sensitivity of the simulated size distributions to the number of size bins was also investigated. The diffusional behavior of each individual process was quantitatively characterized by the difference in the mode radius and standard deviation of a lognormal curve fit of distributions between the approximate solution and the 96-bin reference solution. Both the number and mass size distributions were adequately predicted by a sectional model of 12 bins in many situations in the atmosphere where the sink for condensable matter on existing aerosol surface area is high enough that nucleation of new particles is negligible. Total mass concentration was adequately simulated using lower size resolution of 8 bins. However, to properly resolve nucleation mode size distributions and minimize the numerical diffusion, a sectional model of 18 size bins or greater is needed. The number of size bins is more important in resolving the nucleation mode peaks than in reducing the diffusional behavior of aerosol processes. Application of CAM in a study of the global cycling of sea-salt mass accompanies this paper [Gong et al., 2002].

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MOZART, a global chemical transport model for ozone and related chemical tracers: 2. Model results and evaluation

Cited by 288 publications

References 95 publications

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

Sensitivity studies of oxidative changes in the troposphere in 2100 using the GISS GCM

Canadian Aerosol Module: A size‐segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development

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