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Organic Aerosol: From Oxidation to Optical Depth IGAC Conference, Halifax, Canada July 14, 2010 Colette L. Heald Acknowledgements: Jesse Kroll (MIT), Jose.

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Presentation on theme: "Organic Aerosol: From Oxidation to Optical Depth IGAC Conference, Halifax, Canada July 14, 2010 Colette L. Heald Acknowledgements: Jesse Kroll (MIT), Jose."— Presentation transcript:

1 Organic Aerosol: From Oxidation to Optical Depth IGAC Conference, Halifax, Canada July 14, 2010 Colette L. Heald Acknowledgements: Jesse Kroll (MIT), Jose Jimenez, Ken Docherty, Delphine Farmer, Pete DeCarlo, Allison Aiken (CU-Boulder, currently or former), Qi Chen & Scot Martin (Harvard), Paulo Artaxo (University of Sao Paulo) David Ridley (CSU), Easan Drury (NREL)

2 ORGANIC AEROSOL MAKES UP AN IMPORTANT FRACTION OF OBSERVED AEROSOL, YET MODELS STRUGGLE TO REPRODUCE THESE CONCENTRATIONS Globally makes up 25-75% of total fine aerosol at the surface (ignoring soot here) [Zhang et al., 2007] Sulfate Organics

3 WHY DON’T MODELS GET IT RIGHT…. Terpenes (gas-phase) PBAP Hydrocarbons (gas-phase & particulate) Uncertain Formation (Missing sources? Poorly understood processes?) Continuing Oxidation/Partitioning in the Atmosphere 10,000’s of (unidentified?) compounds with variable properties

4 A SIMPLIFIED DESCRIPTION OF ORGANIC AEROSOL COMPOSITION [Goldstein et al., 2008] Typically < 20% of OA mass can be identified [Williams et al., 2007]. Even if we could identify these species, global models couldn’t handle this complexity! 2D chromatogram of OA Hydrogen Carbon Oxygen Other (N, S, etc) Alternate: Look at bulk elemental composition of aerosol Need a framework to compare composition & track changes…

5 A FRAMEWORK FOR LOOKING AT CHANGES IN COMPOSITION: THE VAN KREVELEN DIAGRAM Example: Replace -CH 2 - with a carbonyl group -C(=O)-  Add 1O, lose 2H, slope = -2 Developed by Van Krevelen in 1950’s to describe oil formation Can be used to describe dynamic oxidation processes in the atmosphere: functionalization of an aliphatic carbon (-CH 2 -) shown here

6 LAB & FIELD ORGANIC AEROSOL LINE UP IN A VAN KREVELEN DIAGRAM! Surprisingly, despite complexity, MEAN aerosol composition changes during aging look like carboxylation! All measurements taken with the high resolution Aerosol Mass Spectrometer (HR-AMS)

7 EXAMPLES FROM THREE FIELD CAMPAIGNS… Riverside, California: dominated by urban sources Amazon basin: clean, low loadings, more oxygenated Mexico city (aircraft): regional sampling (clean & polluted) Photochemical clock shows moves “down” the line with aging. Some leveling off with long ages?

8 IMPLICATIONS 2.From a lab perspective: why does bulk OA “collapse” to this composition? What are the details of fragmentation & functionalization reactions in the atmosphere that result in net carboxylation? 1. From a modeling perspective: hope for a simple parameterization!  Need to understand aging timescale better (how fast do we move down the -1 slope?) … H:C O:C [Heald, Kroll et al., 2010]

9 A LARGE MISSING SOURCE OF ORGANIC AEROSOL? Goldstein and Galbally [2007] suggest that SOA source may be anywhere from 140-910 TgC/yr. Can total aerosol optical depth (AOD) measurements shed any light on the total budget of OA? For comparison, current model (GEOS-Chem) estimates total ~50 TgC/yr (~2/3 POA, 1/3 SOA), equivalent burden ~0.81 TgC TgC yr -1

10 SATELLITE OBSERVATIONS: ADVANTAGES & CHALLENGES ADVANTAGE: Global view of total atmospheric column CHALLENGE: AOD is an integrated measure of ALL aerosols – uncertainty on any single derived particle type will be high. Strategy: focus on continental AOD, use MISR as a global constraint Example of MISR/AERONET (MAM 2008)

11 IF ONLY AEROSOL IN THE ATMOSPHERE WAS OA, WHAT LOADING IS IMPLIED BY SATELLITE AOD? Calculate the “hypothetical” AOD implied by a constant 1  g/m 3 profile over the land, and see how we need to scale this locally to make up ENTIRE AOD reported by MISR. Inverted OA loading is 3.7 TgC over land. Assume a 6 days lifetime = 230 TgC/yr  extrapolate to include outflow ~460 TgC/yr. (middle of Goldstein & Galbally range) Inverted total MISR AOD: Equivalent uniform OA profile

12 A MORE REALISTIC POSSIBILITY: REMOVE CONTRIBUTIONS FROM DUST, BC, INORGANICS (assuming all the negative bias in the model is ONLY OA) Estimate that ~230 TgC/yr source is required to close the MISR-GEOS-Chem discrepancy. IF we remove N. Africa & the Middle East (dust) from this, total is reduced to ~180 TgC/yr If then account for more “reasonable” vertical profile, reduce to ~160 TgC/yr DJFJJA MISR GEOS-Chem* MISR- GEOS-Chem* *excluding OA

13 910 460 230 47 180 If all AOD inverted for OA Existing GEOS-Chem sources If attribute all MISR “excess” AOD to OA If remove N. Africa & Middle East 140 Best estimate (“likely” vertical distribution) 160 Range estimated by: Goldstein and Galbally [2007] All units in TgC/yr HAVE WE REDUCED THE UNCERTAINTY ON THE OA BUDGET? [Heald et al., in prep] Suggests a MAXIMUM global source of ~160 TgC/yr of OA to the atmosphere. This is more than THREE TIMES what is currently included in global models…. BUT at the low end of Goldstein & Gallbally [2007] range. * Detailed uncertainty analysis suggests budget derived from AOD has ~80% uncertainty


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