the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics
Hamza Ahsan
Hailong Wang
Jingbo Wu
Mingxuan Wu
Steven J. Smith
Susanne Bauer
Harrison Suchyta
Dirk Olivié
Gunnar Myhre
Hitoshi Matsui
Huisheng Bian
Jean-François Lamarque
Ken Carslaw
Larry Horowitz
Leighton Regayre
Mian Chin
Michael Schulz
Ragnhild Bieltvedt Skeie
Toshihiko Takemura
Vaishali Naik
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detergent, removing air pollutants and greenhouse gases like methane from the atmosphere. Thus, understanding how it is changing and responding to its various drivers is important for air quality and climate. We found that OH has increased by about 5 % globally from 1980 to 2014 in our model, mostly driven by increasing nitrogen oxide (NOx) emissions. This suggests potential climate tradeoffs from air quality policies solely targeting NOx emissions.
closed loopfor aerosol formation, transport and growth.
climate-assessmentworkflow that was used in the IPCC AR6 Working Group III report. The paper provides key insight for anyone wishing to understand the assessment of climate outcomes of mitigation pathways in the context of the Paris Agreement.
hottest20 % of parcels.
global dimmingas found in observations. Only model experiments with anthropogenic aerosol emissions display any dimming at all. The discrepancies between observations and models are largest in China, which we suggest is in part due to erroneous aerosol precursor emission inventories in the emission dataset used for CMIP6.
variantsof the model using an implausibility metric. Despite many compensating effects in the model, the procedure constrains the probability distributions of many parameters, and direct radiative forcing uncertainty is reduced by 34 %.
agetracers. The largest variability occurs near the surface close to the tropical convergence zones, but the peak is further south and there is a smaller tropical–extratropical contrast for tracers with more rapid loss. Hence the variability of trace gases in the southern extratropics will vary with their chemical lifetime.
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A state-of-the-art thermodynamic model has been coupled with the city-scale chemistry transport model EPISODE–CityChem to investigate the equilibrium between the inorganic gas and aerosol phases over the greater Athens area, Greece. The simulations indicate that the formation of nitrates in an urban environment is significantly affected by local nitrogen oxide emissions, as well as ambient temperature, relative humidity, photochemical activity, and the presence of non-volatile cations.
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hiddensource of inter-model variability and may be leading to bias in some climate model results.