Improving PM 2.5 retrievals in the San Joaquin Valley using A-Train Multi-Satellite Observations

Abstract. This paper demonstrates the use of a combination of multi-platform satellite observations and statistical data analysis to dramatically improve the correlation between satellite observed aerosol optical depth (AOD) and ground-level retrieved PM 2.5 . The target area is California's San Joaquin Valley which has a history of poor particulate air quality and where such correlations have not yielded good results. We have used MODIS AOD, OMI AOD, AAOD (absorption aerosol optical depth) and NO 2 concentration, and a seasonal parameter in a generalized additive model (GAM) to improve retrieved/observed PM 2.5 correlations ( r 2 at six individual sites and for a data set combining all sites. For the combined data set using the GAM, r 2 improved to 0.69 compared with an r 2 of 0.27 for a simple linear regression of MODIS AOD to surface PM. Parameter sensitivities and the effect of multi-platform data on the sample size are discussed. Particularly noteworthy is the fact that the PM retrieved using the GAM captures many of the PM exceedences that were not seen in the simple linear regression model.

[1]  Bruno Pelletier,et al.  Retrieving of particulate matter from optical measurements: A semiparametric approach , 2007 .

[2]  Kathleen A. Crean,et al.  Multiangle imaging spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations : Global aerosol system , 2005 .

[3]  D. Chu,et al.  Improving National Air Quality Forecasts with Satellite Aerosol Observations , 2005 .

[4]  P. Mcmurry,et al.  Particulate matter science for policy makers : a NARSTO assessment , 2004 .

[5]  J. Chow,et al.  Air Quality Measurements from the Fresno Supersite , 2000, Journal of the Air & Waste Management Association.

[6]  E. Vermote,et al.  Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance , 2007 .

[7]  Y. Yung,et al.  Atmospheric Radiation: Theoretical Basis , 1989 .

[8]  Didier Tanré,et al.  Characterization of aerosol pollution events in France using ground-based and POLDER-2 satellite data , 2006 .

[9]  David M. Winker,et al.  Mesoscale Variations of Tropospheric Aerosols , 2003 .

[10]  B. Holben,et al.  A spatio‐temporal approach for global validation and analysis of MODIS aerosol products , 2002 .

[11]  Sundar A. Christopher,et al.  Seven year particulate matter air quality assessment from surface and satellite measurements , 2008 .

[12]  S. Turquety,et al.  Estimating Fine Particulate Matter Component Concentrations and Size Distributions Using Satellite-Retrieved Fractional Aerosol Optical Depth: Part 2—A Case Study , 2007, Journal of the Air & Waste Management Association.

[13]  A. Strawa,et al.  UNDERSTANDING THE CORRELATION OF SAN JOAQUIN AIR QUALITY MONITORING WITH AEROSOL OPTICAL THICKNESS SATELLITE MEASUREMENTS , 2008 .

[14]  R. Burnett,et al.  Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality. , 2009, Research report.

[15]  Lorraine Remer,et al.  Machine Learning and Bias Correction of MODIS Aerosol Optical Depth , 2009, IEEE Geoscience and Remote Sensing Letters.

[16]  D. Jacob,et al.  Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. , 2005, Environmental science & technology.

[17]  J. Veefkind,et al.  Validation of Ozone Monitoring Instrument nitrogen dioxide columns , 2008 .

[18]  Paul J Lioy,et al.  Evaluation and Comparison of Continuous Fine Particulate Matter Monitors for Measurement of Ambient Aerosols , 2007, Journal of the Air & Waste Management Association.

[19]  B. Holben,et al.  Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) , 2003 .

[20]  S. Christopher,et al.  Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land? , 2009, Journal of the Air & Waste Management Association.

[21]  Michael D. King,et al.  Aerosol properties over bright-reflecting source regions , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[22]  R. Santer,et al.  Atmospheric particulate matter (PM) estimation from SeaWiFS imagery , 2007 .

[23]  Majid Ezzati,et al.  Fine-particulate air pollution and life expectancy in the United States. , 2009, The New England journal of medicine.

[24]  A. Dell'Acqua,et al.  Annual cycle in co-located in situ, total-column, and height- resolved aerosol observations in the Po Valley (Italy): Implications for ground-level particulate matter mass concentration estimation from remote sensing , 2010 .

[25]  David J. Diner,et al.  Comparison of coincident Multiangle Imaging Spectroradiometer and Moderate Resolution Imaging Spectroradiometer aerosol optical depths over land and ocean scenes containing Aerosol Robotic Network sites , 2005 .

[26]  M. Brauer,et al.  Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application , 2010, Environmental health perspectives.

[27]  S. Wood.  Generalized Additive Models: An Introduction with R , 2006 .

[28]  INVESTIGATING CORRELATIONS BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND PM2.5 MEASUREMENTS IN CALIFORNIA'S SAN JOAQUIN VALLEY WITH MODIS DEEP BLUE , 2008 .

[29]  Michael D. King,et al.  Deep Blue Retrievals of Asian Aerosol Properties During ACE-Asia , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Jun Wang,et al.  Intercomparison between satellite‐derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies , 2003 .

[31]  James F. Gleason,et al.  Algorithm for NO/sub 2/ vertical column retrieval from the ozone monitoring instrument , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Judith C. Chow,et al.  PM2.5 and PM10 Mass Measurements in California's San Joaquin Valley , 2006 .

[33]  S. Wood,et al.  Generalized Additive Models: An Introduction with R , 2006 .

[34]  Yang Liu,et al.  Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS , 2007 .

[35]  F. Dominici,et al.  Fine particulate air pollution and mortality in 20 U.S. cities, 1987-1994. , 2000, The New England journal of medicine.

[36]  G. Hidy.  Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land? , 2009, Journal of the Air & Waste Management Association.

[37]  Yang Liu,et al.  Estimating Fine Particulate Matter Component Concentrations and Size Distributions Using Satellite-Retrieved Fractional Aerosol Optical Depth: Part 1— Method Development , 2007, Journal of the Air & Waste Management Association.

[38]  Basil W. Coutant,et al.  Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality , 2004 .

[39]  Pawan K. Bhartia,et al.  Science objectives of the ozone monitoring instrument , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Jun Wang,et al.  Satellite remote sensing of particulate matter and air quality assessment over global cities , 2006 .

[41]  Oleg Dubovik,et al.  Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land , 2007 .

[42]  George M Hidy,et al.  Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land? , 2009, Journal of the Air & Waste Management Association.

[43]  T. Eck,et al.  Global evaluation of the Collection 5 MODIS dark-target aerosol products over land , 2010 .

[44]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .