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Investigating organic aerosol loading in the remote marine environment
- Source :
- Atmospheric Chemistry and Physics, Vol 11, Iss 17, Pp 8847-8860 (2011), Lapina, K, Heald, C L, Spracklen, D V, Arnold, S R, Allan, J D, Coe, H, McFiggans, G, Zorn, S R, Drewnick, F, Bates, T S, Hawkins, L N, Russell, L M, Smirnov, A, O'Dowd, C D & Hind, A J 2011, ' Investigating organic aerosol loading in the remote marine environment ', Atmospheric Chemistry and Physics, vol. 11, no. 17, pp. 8847-8860 . https://doi.org/10.5194/acp-11-8847-2011
- Publication Year :
- 2011
- Publisher :
- Copernicus GmbH, 2011.
-
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 m−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 m−3 and 0.77 μg m−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).
- Subjects :
- Atmospheric Science
food.ingredient
010504 meteorology & atmospheric sciences
Chemical transport model
united-states
010501 environmental sciences
Mineral dust
Atmospheric sciences
01 natural sciences
part 1
lcsh:Chemistry
food
Organic matter
14. Life underwater
0105 earth and related environmental sciences
mineral dust
chemistry.chemical_classification
Sea salt
atmospheric particles
emissions
ocean
lcsh:QC1-999
Aerosol
lcsh:QD1-999
chemistry
13. Climate action
mass-spectrometer
Environmental science
Common spatial pattern
Satellite
Aerosol composition
isoprene
atlantic
lcsh:Physics
sea-salt
Subjects
Details
- ISSN :
- 16807324
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Atmospheric Chemistry and Physics
- Accession number :
- edsair.doi.dedup.....cc39706810455072b0eaafe4f5957919
- Full Text :
- https://doi.org/10.5194/acp-11-8847-2011