1
The Organic Aerosol Composition (OACOMP) Value Added Product for the ARM Archive Qi Zhang 1 , Jerome Fast 2 , Tim Shippert 2 , Chitra Sivaraman 2 , Fan Mei 3 , Alison Tilp 3 , and Caroline Parworth 1 1 University of California – Davis, 2 Pacific Northwest National Laboratory, 2 Brookhaven National Laboratory Objective Aerosol Chemical Speciation Monitor (ACSM) Data Processing Flow Chart Current Results Timeline Organic matter (OM) frequently comprises a large fraction of the total aerosol burden, but regional and global models typically underestimate OM mass - contributing to uncertainties in aerosol radiative forcing. Improving the treatment of organics in models requires information on the magnitude of primary and secondary components of OM. The objective of the new ARM Organic aerosol component (OACOMP) value-added product is to: Perform multivariate statistical analysis of the organic aerosol data from aerosol mass spectrometers Represent the enormously complex atmospheric organic aerosol system as a lumped description of a limited number of components that may be related to distinct sources and physicochemical properties Measures real-time, non-refractory aerosol particle mass and chemical composition Organic matter (OM), sulfate (SO 4 ), nitrate (NO 3 ), ammonium (NH 4 ), chloride (Cl) Long term, continuous data from 3 systems: The Southern Great Plains (SGP), Oklahoma Tropical Western Pacific in Darwin, Australia Mobile Aerosol Observing System (MAOS) Possible to derive components of organic matter, such as: Hydrocarbon-like (HOA) ~ combustion POA Cooking related (COA) ~ cooking POA Biomass burning (BBOA) Low Volatility / More Oxygenated ~ aged SOA Semi-volatile / Less Oxygenated ~ fresher SOA time resolution ~ 30 min detection limits ( μ g m 3 ) OM 0.3 SO 4 0.4 NO 3 0.2 NH 4 0.5 Cl 0.2 ACSM shown to give similar results to HR-ToF-AMS and other means of measuring composition (Ng et al., AST, 2011) 10.5 12.9 7.8 11.1 8.7 7.4 4.5 February March April May June July August organics become largest fraction during summer OM SO 4 NO 3 NH 4 Cl Additional Information from OACOMP MO-OOA – more oxidized SOA, “aged” LO-OOA – less oxidized SOA, “fresher” BBOA – biomass burning Default Data from ACSM Monthly Average PM1 Mass Pretreatment Steps Currently being Tested: Perform sanity checks on organic mass spectra error matrices, and species time series; remove or downweight bad data periods Treat spikes in organic mass spectral matrix Downweight signals scaled to m/z 44 Apply minimum error Downweight weak m/z’s in mass spectral matrix Other QA Steps May be Added February March April May June July August September ACSM not operating or contained bad data multivariate analysis not performed for this period smoke transported over SGP event on April 7 was high as 88 μg m -3 OM MO-OOA LO-OOA BBOA aged SOA more prevalent in summer spikes due primarily to biomass burning SGP Organic Aerosol Components (μg m -3 ) 2011 Note: Primary organic aerosol compoment asociated with combustion (HOA) was very small (i.e. SGP site far from sources) mentor input A1 Product raw data ARM Data Management Facility user access A1, B1, and C1 products via archive B1 Product OM, SO 4 , NO 3 , NH 4 , Cl, QA, and other ancillary data needed for multivariate analysis C1 Product OM, SO 4 , NO 3 , NH 4 , Cl, and organic aerosol components run script every 2 weeks that performs multivariate analysis developer input Update code, add data pretreatments based on evaluation Operational SGP product Assess feasibility of ingesting TWP site data when ACSM becomes on-line Update OACOMP QA and pretreatments April June July Oct sampling plots

The Organic Aerosol Composition (OACOMP) Value Added ... · A1 Product raw data ARM Data Management Facility user access A1, B1, and C1 products via archive B1 Product OM, SO 4, NO

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Page 1: The Organic Aerosol Composition (OACOMP) Value Added ... · A1 Product raw data ARM Data Management Facility user access A1, B1, and C1 products via archive B1 Product OM, SO 4, NO

The Organic Aerosol Composition (OACOMP) Value Added Product for the ARM Archive Qi Zhang1, Jerome Fast2, Tim Shippert2, Chitra Sivaraman2, Fan Mei3, Alison Tilp3, and Caroline Parworth1

1University of California – Davis, 2Pacific Northwest National Laboratory, 2 Brookhaven National Laboratory

Objective Aerosol Chemical Speciation Monitor (ACSM)

Data Processing Flow Chart Current Results

Timeline

Organic matter (OM) frequently comprises a large fraction of the total aerosol burden, but regional and global models typically underestimate OM mass - contributing to uncertainties in aerosol radiative forcing. Improving the treatment of organics in models requires information on the magnitude of primary and secondary components of OM.

The objective of the new ARM Organic aerosol component (OACOMP) value-added product is to:

•  Perform multivariate statistical analysis of the organic aerosol data from aerosol mass spectrometers

•  Represent the enormously complex atmospheric organic aerosol system as a lumped description of a limited number of components that may be related to distinct sources and physicochemical properties

Measures real-time, non-refractory aerosol particle mass and chemical composition •  Organic matter (OM), sulfate (SO4 ), nitrate (NO3 ), ammonium (NH4 ), chloride (Cl)

Long term, continuous data from 3 systems: •  The Southern Great Plains (SGP), Oklahoma •  Tropical Western Pacific in Darwin, Australia •  Mobile Aerosol Observing System (MAOS)

Possible to derive components of organic matter, such as: •  Hydrocarbon-like (HOA) ~ combustion POA •  Cooking related (COA) ~ cooking POA •  Biomass burning (BBOA) •  Low Volatility / More Oxygenated ~ aged SOA •  Semi-volatile / Less Oxygenated ~ fresher SOA

time resolution ~ 30 min detection limits (µg m3)

OM 0.3 SO4 0.4 NO3 0.2 NH4 0.5 Cl 0.2

ACSM shown to give similar results to HR-ToF-AMS and other means of measuring composition

(Ng et al., AST, 2011)

10.5 12.9

7.8 11.1

8.7 7.4 4.5

February March April May June July August

organics become largest fraction during summer

OM SO4 NO3 NH4 Cl

Additional Information from OACOMP MO-OOA – more oxidized SOA, “aged” LO-OOA – less oxidized SOA, “fresher” BBOA – biomass burning

Default Data from ACSM Monthly Average PM1 Mass

Pretreatment Steps Currently being Tested: •  Perform sanity checks on organic mass spectra

error matrices, and species time series; remove or downweight bad data periods

•  Treat spikes in organic mass spectral matrix •  Downweight signals scaled to m/z 44 •  Apply minimum error •  Downweight weak m/z’s in mass spectral matrix Other QA Steps May be Added

February March April May June July August September

ACSM not operating or contained bad data

multivariate analysis not

performed for this period

smoke transported over SGP event on April 7 was high as

88 µg m-3

OM

MO-OOA

LO-OOA

BBOA

aged SOA more prevalent in summer

spikes due primarily to biomass burning

SGP Organic Aerosol Components (µg m-3) 2011

Note: Primary organic aerosol compoment asociated with combustion (HOA) was very small (i.e. SGP site far from sources)

mentor input

A1 Product raw data

ARM Data Management Facility

user access A1, B1, and C1 products via archive

B1 Product OM, SO4, NO3, NH4, Cl,

QA, and other ancillary data needed for multivariate

analysis

C1 Product OM, SO4, NO3, NH4, Cl,

and organic aerosol components

run script every 2 weeks that performs multivariate analysis

developer input

•  Update code, add data pretreatments based on evaluation

•  Operational SGP product •  Assess feasibility of ingesting TWP site

data when ACSM becomes on-line •  Update OACOMP QA and pretreatments

April

June July

Oct

sampling

plots