Using a global aerosol model adjoint to unravel the footprint of spatially-distributed emissions on cloud droplet number and cloud albedo
The adjoints of the GEOS‐Chem Chemical Transport Model and a comprehensive cloud droplet parameterization are coupled to study the sensitivity of cloud droplet number concentration (Nd) over US regions and Central Europe to global emissions of anthropogenic fine mode aerosol precursors. Simulations...
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Published in | Geophysical research letters Vol. 39; no. 24 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Washington, DC
Blackwell Publishing Ltd
28.12.2012
American Geophysical Union John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | The adjoints of the GEOS‐Chem Chemical Transport Model and a comprehensive cloud droplet parameterization are coupled to study the sensitivity of cloud droplet number concentration (Nd) over US regions and Central Europe to global emissions of anthropogenic fine mode aerosol precursors. Simulations reveal that the Nd over the midwestern and southeastern US is mostly sensitive to SO2 emissions during August, and to NH3 emissions during February. Over the western US, Nd is mostly sensitivity to SO2 and primary organic aerosol emissions. In Central Europe, Nd is most sensitive to NH3 and NOx emissions. As expected, local emissions strongly affect Nd; long‐range transport, however, is also important for the western US and Europe. Emissions changes projected for the year 2050 are estimated to have the largest impacts on cloud albedo andNd over Central Europe during August (42% and 82% change, respectively) and western US during February (12% and 36.5% change, respectively).
Key Points
Adjoint modeling unravels the impact of aerosol on cloud properties
Long range transport of aerosol has important impacts on clouds
Future emissions will impact droplet number mostly central Europe |
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Bibliography: | istex:2420B13342DF0B7EE776BDCD8495D184DC6FD1A1 ArticleID:2012GL053346 ark:/67375/WNG-41B1BL0P-2 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0094-8276 1944-8007 |
DOI: | 10.1029/2012GL053346 |