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Investigating organic aerosol loading in the remote marine environment

  • K. Lapina
  • , C. L. Heald
  • , D. V. Spracklen
  • , S. R. Arnold
  • , J. D. Allan
  • , H. Coe
  • , G. McFiggans
  • , S. R. Zorn
  • , F. Drewnick
  • , T. S. Bates
  • , L. N. Hawkins
  • , L. M. Russell
  • , Alexander Smirnov
  • , Colin D. O'Dowd
  • , A. J. Hind
  • Colorado State University
  • University of Leeds
  • University of Manchester
  • MPIC
  • Harvard University
  • Natl. Oceanic and Atmosph. Admin.
  • Scripps Institution of Oceanography
  • NASA Goddard Space Flight Center
  • Bigelow Laboratory for Ocean Sciences

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

43 Citations (Scopus)

Abstract

Aerosol loading in the marine environment is investigated using aerosol composition measurements from several research ship campaigns (ICEALOT, MAP, RHaMBLe, VOCALS and OOMPH), observations of total AOD column from satellite (MODIS) and ship-based instruments (Maritime Aerosol Network, MAN), and a global chemical transport model (GEOS-Chem). This work represents the most comprehensive evaluation of oceanic OM emission inventories to date, by employing aerosol composition measurements obtained from campaigns with wide spatial and temporal coverage. The model underestimates AOD over the remote ocean on average by 0.02 (21 %), compared to satellite observations, but provides an unbiased simulation of ground-based Maritime Aerosol Network (MAN) observations. Comparison with cruise data demonstrates that the GEOS-Chem simulation of marine sulfate, with the mean observed values ranging between 0.22 μg mg-3 and 1.34 μg m-3, is generally unbiased, however surface organic matter (OM) concentrations, with the mean observed concentrations between 0.07 μg mg-3 and 0.77 μg mg -3, are underestimated by a factor of 2-5 for the standard model run. Addition of a sub-micron marine OM source of approximately 9 TgC yr -1 brings the model into agreement with the ship-based measurements, however this additional OM source does not explain the model underestimate of marine AOD. The model underestimate of marine AOD is therefore likely the result of a combination of satellite retrieval bias and a missing marine aerosol source (which exhibits a different spatial pattern than existing aerosol in the model).

Original languageEnglish
Pages (from-to)8847-8860
Number of pages14
JournalAtmospheric Chemistry and Physics
Volume11
Issue number17
DOIs
Publication statusPublished - 1 Jan 2011

Keywords

  • atlantic
  • atmospheric particles
  • emissions
  • Externally hosted open access publications with University of Galway authors
  • isoprene
  • mineral dust
  • ocean
  • part 1
  • sea-salt
  • united-states

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