Grantee Research Project Results
2005 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, 2005 through December 31, 2006
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:
The objective of this research project is to improve knowledge of particulate matter sources in the United States on a continental scale through combined forward, Bayesian, and adjoint inverse model analyses integrating observations from surface sites, aircraft, and satellites.
Progress Summary:
We have used the Goddard Earth Observing System (GEOS)-Chem global chemical transport model to simulate aircraft observations from the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) campaign and derive constraints on the sources of carbonaceous aerosols in North America and the influence of boreal fires. We have developed a method to extract quantitative aerosol information from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observations by diagnosing top-of-atmosphere reflectances from GEOS-Chem model output as influenced by the model aerosol content and comparing those to MODIS reflectances. We have implemented in GEOS-Chem a new mechanism for secondary organic aerosol formation from isoprene and showed it to be an important source of organic carbon aerosol. We have derived an adjoint model of the GEOS-Chem NOx-Ox-HC chemistry simulation including online treatment of several classes of aerosols (elemental carbon, primary organic carbon, SO4-NH4-NO3-H2O). We expect that this work will yield improved source inventories for aerosols in the United States.
Future Activities:
During Year 2 of the project, we will: (1) complete our GEOS-Chem model analysis for the ICARTT period with focus on using the constraints from the aircraft and concurrent IMPROVE observations to better understand sources of carbonaceous aerosols in the United States; (2) use comparison of simulated versus observed (MODIS) satellite reflectances as constraints on model aerosol source; and (3) apply an adjoint aerosol model over the United States with a focus on improving emissions inventories of elemental carbon, NH3, SO2, and possibly NOx.
Journal Articles on this Report : 1 Displayed | Download in RIS Format
| Other project views: | All 25 publications | 10 publications in selected types | All 10 journal articles |
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van Donkelaar A, Martin RV, Park RJ, Heald CL, Fu T-M, Liao H, Guenther A. Model evidence for a significant source of secondary organic aerosol from isoprene. Atmospheric Environment 2007;41(6):1267-1274. |
R832158 (2005) R832158 (Final) |
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Supplemental Keywords:
particulate matter, PM2.5, adjoint inverse model analysis, advanced factor analysis models, aerosol analyzers, aerosol optical depth data, aerosol particles, air quality model, air quality models, air sampling, airborne particulate matter, atmospheric dispersion models, atmospheric measurements, carbon particles, carbonaceous particulate matter, chemical characteristics, chemical speciation sampling, diesel exhaust, emissions monitoring, environmental measurement, mobile sources, model-based analysis, modeling studies, particle size measurement, particulate matter mass, particulate organic carbon, positive matrix factorization,, RESEARCH, RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, Air, Ecological Risk Assessment, particulate matter, Environmental Chemistry, Monitoring/Modeling, Environmental Engineering, Environmental Monitoring, Monitoring, adjoint inverse model analysis, atmospheric dispersion models, diesel exhaust, carbon particles, air sampling, chemical characteristics, aerosol optical depth data, aersol particles, airborne particulate matter, emissions monitoring, advanced factor analysis models, modeling studies, environmental measurement, mobile sources, remote sensing, particulate matter mass, air quality model, particulate organic carbon, aerosol analyzers, chemical speciation sampling, particle size measurement, air quality models, atmospheric measurements, positive matrix factorization, carbonaceous particulate matter, model-based analysisRelevant Websites:
http://www.as.harvard.edu/chemistry/trop/index.html Exit
http://www.che.caltech.edu/faculty/seinfeld_j/research.html 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.