Grantee Research Project Results
2009 Progress Report: Applying Data Assimilation and Adjoint Sensitivity to Epidemiological and Policy Studies of Airborne Particulate Matter
EPA Grant Number: R833865Title: Applying Data Assimilation and Adjoint Sensitivity to Epidemiological and Policy Studies of Airborne Particulate Matter
Investigators: Stanier, Charles , Oleson, Jacob J. , Carmichael, Gregory R. , Field, R. William , Krewski, Daniel , Kumar, Naresh
Current Investigators: Stanier, Charles , Krewski, Daniel , Carmichael, Gregory R. , Kumar, Naresh , Field, R. William , Oleson, Jacob J.
Institution: University of Iowa , University of Ottawa
EPA Project Officer: Chung, Serena
Project Period: February 1, 2009 through January 31, 2013 (Extended to January 31, 2014)
Project Period Covered by this Report: December 1, 2008 through November 30,2009
Project Amount: $899,401
RFA: Innovative Approaches to Particulate Matter Health, Composition, and Source Questions (2007) RFA Text | Recipients Lists
Research Category: Particulate Matter , Air
Objective:
Progress Summary:
The major elements of progress for this period were to assemble or develop hardware, software and expertise for (a) running the Models 3 suite (using CMAQ4.6) for extended time periods (1 year period) on the 36km CONUS grid; (b) converting CMAQ4.6 output to aerosol optical depth (AOD) for comparison and data assimilation with MODIS and Aeronet AOD; (c) preprocessing MODIS and Aeronet AOD onto the model grid / domain using Models 3 compatible file formats; (d) automated chemical mass balance calculations on STN and IMPROVE sites. Items a-c were presented in the poster “Use of Surface Measurements and MODIS Aerosol Optical Depth for Improved Model Based PM2.5 Prediction in the United States” by lead author Sinan Sousan, a Ph.D. candidate at the University of Iowa who is primarily supported through the EPA project. The poster won a Graduate Student Poster Award at the American Association for Aerosol Research (AAAR) Conference. Sinan continues to develop the optimal interpolation FORTRAN code for OI of CMAQ output with various input datasets, but the results are still under internal evaluation.
Future Activities:
The next reporting period will focus on forward model runs of CMAQ for total PM2.5, source-resolved PM2.5, and data assimilation of surface and satellite measurements. In addition, development of the CMAQ adjoint will continue.Journal Articles:
No journal articles submitted with this report: View all 26 publications for this projectSupplemental Keywords:
Air; Health Effects; Human Health; Modeling.Relevant Websites:
none.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.