Rethinking the global secondary organic aerosol (SOA) budget: stronger  production, faster removal, shorter lifetime

Hodzic, Alma; Kasibhatla, Prasad S.; Jo, Duseong S.; Cappa, Christopher D.; Jimenez, Jose L.; Madronich, Sasha; Park, Rokjin J.

doi:https://doi.org/10.5194/acp-16-7917-2016

Articles | Volume 16, issue 12

https://doi.org/10.5194/acp-16-7917-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-7917-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 12

Research article

|

29 Jun 2016

Research article |

| 29 Jun 2016

Rethinking the global secondary organic aerosol (SOA) budget: stronger production, faster removal, shorter lifetime

Alma Hodzic, Prasad S. Kasibhatla, Duseong S. Jo, Christopher D. Cappa, Jose L. Jimenez, Sasha Madronich, and Rokjin J. Park

Supplement

https://doi.org/10.5194/acp-16-7917-2016-supplement

Data sets

GEOS-Chem Model Harvard http://acmg.seas.harvard.edu/geos/index.html

Photolysis model TUV NCAR http://cprm.acom.ucar.edu/Models/TUV/Interactive_TUV/

IMPROVE data EPA http://aqsdr1.epa.gov/aqsweb/aqstmp/airdata/ download_files.html

EMEP data NILU http://ebas.nilu.no

Aerosol mass spectrometry, Global database AMS https://sites.google.com/site/amsglobaldatabase/

SEAC4RS data NASA http://www-air.larc.nasa.gov

Gridded population data for 2005 SEDAC http://sedac.ciesin.columbia.edu

Download

Article (11571 KB)
Full-text XML

Short summary

The global budget and spatial distribution of secondary organic aerosol (SOA) are highly uncertain in chemistry-climate models, which reflects our inability to characterize all phases of the OA lifecycle. We have performed global model simulations with the newly proposed formation and removal processes (photolysis and heterogeneous chemistry) and shown that SOA is a far more dynamic system, with 4 times stronger production rates and more efficient removal mechanisms, than assumed in models.