Statistics – Computation
Scientific paper
May 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011georl..3810808c&link_type=abstract
Geophysical Research Letters, Volume 38, Issue 10, CiteID L10808
Statistics
Computation
1
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801, 4906), Atmospheric Composition And Structure: Radiation: Transmission And Scattering, Atmospheric Composition And Structure: Troposphere: Constituent Transport And Chemistry, Biogeosciences: Pollution: Urban, Regional And Global (0345, 4251, 4325), Global Change: Coupled Models Of The Climate System
Scientific paper
Detailed urban-scale processing has not been included in global 3D chemical transport models due to its large computational demands. Here we present a metamodel for including this processing, and compare it with the use of the traditional approach of dilution of emissions into large grid boxes. This metamodel is used in a global 3D model to simulate the effects of cities around the world on aerosol chemistry, physics, and radiative effects at the global scale. We show that the biases caused by ignoring urban processing on the global values of total aerosol surface concentration, the total aerosol column abundance, the aerosol optical depth (AOD), the absorbing aerosol optical depth (AAOD), and the top of the atmosphere radiative forcing (TOA) respectively are +26 ± 32%, +51 ± 1012%, +42 ± 810%, +8 ± 1618%, and -0.27 ± 0.140.10 W/m2. These results show that failure to consider urban scale processing leads to significantly more negative aerosol radiative forcing compared to when detailed urban scale processing is considered.
Cohen Jason Blake
Prinn Ronald G.
Wang Chien
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