Grantee Research Project Results
2007 Progress Report: Bayesian and Adjoint Inverse Model Analysis of PM Sources in the United States Using Observations from Surface, Aircraft, and Satellite Platforms
EPA Grant Number: R832158Title: Bayesian and Adjoint Inverse Model Analysis of PM Sources in the United States Using Observations from Surface, Aircraft, and Satellite Platforms
Investigators: Jacob, Daniel J. , Seinfeld, John
Institution: Harvard University , California Institute of Technology
EPA Project Officer: Chung, Serena
Project Period: January 1, 2005 through December 31, 2007 (Extended to December 31, 2008)
Project Period Covered by this Report: January 1, 2007 through December 31, 2008
Project Amount: $450,000
RFA: Source Apportionment of Particulate Matter (2004) RFA Text | Recipients Lists
Research Category: Particulate Matter , Air Quality and Air Toxics , Air
Objective:
Our objective is to improve knowledge of PM sources in the United States on a national scale through forward and inverse model analyses integrating observations from surface sites, aircraft, and satellites. Our primary tool in this analysis is the GEOS-Chem global chemical transport model.
Progress Summary:
We quantified the PM2.5 sources from open fires and biofuel use in the U.S. through inverse modeling of carbonaceous PM2.5 data from the IMPROVE network, exploiting additional constraints from correlations with K+ and from satellite data [Park et al., 2007]. We implemented in GEOS-Chem a new mechanism for secondary organic aerosol (SOA) formation from isoprene, and showed it to be an important source of organic carbon (OC) PM [Henze et al., 2007]. We used GEOS-Chem to simulate aircraft observations from the ICARTT campaign over the northeastern U.S. and derive constraints on the sources of OC PM and the influence of boreal fires [Heald et al., 2006]. We tested different dust source algorithms through GEOS-Chem simulation of IMPROVE PM data, found that a hybrid combination of the GOCART and DEAD algorithms provides the best simulation, and inferred a dominant role of intercontinental transport from Asia and Africa on dust in the U.S. [Fairlie et al., 2007]. We used the adjoint of GEOS-Chem to show that sulfate and nitrate PM measurements provide valuable constraints on ammonia emissions in the U.S. [Henze et al., 2007, 2008]. We developed an improved algorithm for retrieving aerosol optical depths (AODs) from MODIS satellite observations, thus enabling the application of these data as top-down constraints for PM concentrations and sources in the U.S. [Drury et al., 2008].
Future Activities:
- Apply our improved MODIS aerosol retrieval algorithm to comparison of MODIS data vs. ICARTT aircraft observations vs. GEOS-Chem simulations of PM over the U.S, interpret the results in terms of current understanding of PM sources;
- Complete and submit our work on the application of the GEOS-Chem adjoint to constrain NH3 emissions in the U.S. using IMPROVE and other data.
Journal Articles on this Report : 6 Displayed | Download in RIS Format
| Other project views: | All 25 publications | 10 publications in selected types | All 10 journal articles |
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Fairlie TD, Jacob DJ, Park RJ. The impact of transpacific transport of mineral dust in the United States. Atmospheric Environment 2007;41(6):1251-1266. |
R832158 (2006) R832158 (2007) R832158 (Final) |
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Heald CL, Jacob DJ, Turquety S, Hudman RC, Weber RJ, Sullivan AP, Peltier RE, Atlas EL, de Gouw JA, Warneke C, Holloway JS, Neuman JA, Flocke FM, Seinfeld JH. Concentrations and sources of organic carbon aerosols in the free troposphere over North America. Journal of Geophysical Research 2006;111:D23S47. |
R832158 (2006) R832158 (2007) R832158 (Final) |
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Henze DK, Seinfeld JH. Global secondary organic aerosol from isoprene oxidation. Geophysical Research Letters 2006;33(9):L09812 (4 pp.). |
R832158 (2006) R832158 (2007) R832158 (Final) R831075 (Final) |
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Henze DK, Hakami A, Seinfeld JH. Development of the adjoint of GEOS-Chem. Atmospheric Chemistry and Physics 2007;7(9):2413-2433. |
R832158 (2006) R832158 (2007) R832158 (Final) |
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Henze DK, Seinfeld JH, Ng NL, Kroll JH, Fu T-M, Jacob DJ, Heald CL. Global modeling of secondary organic aerosol formation from aromatic hydrocarbons:high-vs. low-yield pathways. Atmospheric Chemistry and Physics 2008;8(9):2405-2420. |
R832158 (2007) R832158 (Final) |
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Park RJ, Jacob DJ, Logan JA. Fire and biofuel contributions to annual mean aerosol mass concentrations in the United States. Atmospheric Environment 2007;41(35):7389-7400. |
R832158 (2007) R832158 (Final) |
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Supplemental Keywords:
PM2.5, emissions, SOA, mineral dust, ammonia, nitrate, biomass burning, biofuel, adjoint model, GEOS-Chem, MODIS, IMPROVE, RESEARCH, RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, Air, Ecological Risk Assessment, particulate matter, Environmental Chemistry, Monitoring/Modeling, Environmental Engineering, Environmental Monitoring, Monitoring, diesel exhaust, atmospheric dispersion models, adjoint inverse model analysis, chemical characteristics, air sampling, carbon particles, airborne particulate matter, aersol particles, emissions monitoring, advanced factor analysis models, aerosol optical depth data, environmental measurement, mobile sources, modeling studies, remote sensing, particulate organic carbon, particulate matter mass, air quality model, aerosol analyzers, air quality models, chemical speciation sampling, particle size measurement, positive matrix factorization, atmospheric measurements, PM2.5, model-based analysisRelevant Websites:
http://www.as.harvard.edu/chemistry/trop/index.html Exit
http://www.che.caltech.edu/groups/jhs/research.shtml Exit
Progress and Final Reports:
Original AbstractThe perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.