Calibrating MODIS aerosol optical depth for predicting daily PM 2.5 concentrations via statistical downscaling

Journal of Exposure Science and Environmental Epidemiology

Volumn 24, Issue 4, 2014, Pages 398-404

  Chang, Howard H ^a   Hu, Xuefei ^a   Liu, Yang ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

Empirical statistical models; Exposure modeling; Particulate matter

Indexed keywords

AEROSOL; PARTICULATE MATTER;

AEROSOL; ANALYSIS; CALIBRATION; PARTICULATE MATTER; REMOTE SENSING; UNITED STATES;

AEROSOLS; CALIBRATION; PARTICULATE MATTER; REMOTE SENSING TECHNOLOGY; SOUTHEASTERN UNITED STATES;

EID: 84903154956     PISSN: 15590631     EISSN: 1559064X     Source Type: Journal    
DOI: 10.1038/jes.2013.90     Document Type: Article

References (36)

1. Liu Y, Park R, Li Q, Kilaru V, Sarnat J. Mapping annual mean ground-level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol opitcal thickness over the contiguous United States. J Geophys Res 2004.; 109: 3269.-3278
2. Liu Y, Sarnat J, Kilaru V, Jacob D, Koutrakis P. Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. Environ Sci Technol 2005.; 39: 3269.-3278
3. Paciorek CJ, Liu Y, Moreno-Marcias H, Kondragunta S. Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5. Environ Sci Technol 2008.; 42: 5800.-5806
4. Paciorek CJ, Liu Y. Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matter. Environ Health Persp 2009.; 117: 904.-909
5. Liu Y, Paciorek CJ, Koutrakis P. Estimating regional spatial and temporal variability of PM2.5 concentrations using satellite data, meteorology, and land use information. Environ Health Persp 2009.; 117: 886.-892
6. Kloog I, Koutrakis P, Coull BA, Lee HJ, Schwartz J. Assessing temporally and spatially resolved PM2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements. Atmos Environ 2011.; 45: 6267.-6275
7. Lee HJ, Liu Y, Coull BA, Schwartz J, Koutrakis P. A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations. Atmos Chem Phys 2011.; 11: 7911.-8002
8. Franklin M, Zeka A, Schwartz J. Association between and all-cause and specific-cause mortality in 27 US communities. J Expo Sci Environ Epidemiol 2007.; 17: 279.-287. (Pubitemid 46788898)
9. Samet JM, Dominici F, Curriero F, Coursac I, Zeger SL. Particulate air Pollution and mortality in 20 U.S. cities: 1987.-1994. New Engl J Med 2000.; 343: 1742.-1757
10. Dominici F, Peng D, Bell M, Pham M, McDermott A, Zeger SL et al. Fine particulates air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 2006.; 295: 1127.-1135
11. Sarnat SE, Klein M, Sarnat JA, Mulholland J, Russell AG, Flanders WD et al. An examination of exposure measurement error from air pollutant spatial variability in time-series studies. J Expo Sci Environ Epidemiol 2010.; 20: 135.-146
12. Darrow LA, Klein M, Strickland MJ, Mulholland JA, Tolbert PE. Ambient air pollution and birth weight in full-Term infants in Atlanta, 1994.-2004. Environ Health Persp 2011.; 119: 731.-737
13. Chang HH, Reich BJ, Miranda ML. Time-To-event analysis of fine particle air pollution and preterm birth: Results from North Carolina, 2001.-2005. Am J Epidemiol 2012.; 175: 91.-98
14. Kloog I, Coull BA, Zanobetti A, Koutrakis P, Schwartz JD. Acute and chronic effects of particles on hospital admissions in New-England. PLoS One 2012.; 7: E34664
15. Koelemeijer R, Homan C, Mattijsen J. Comparison of spatial and temporal variations of aerosol optical thickness and particulate matter over Europe. Atmos Environ 2006.; 40: 5304.-5315
16. Gupta P, Christopher S, Wang J, Gehrig R, Lee Y, Kumar N. Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmos Environ 2006.; 40: 5880.-5892
17. Brauer M, Amann M, Burnett RT, Cohen A, Dentener F, Ezzati M et al. Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution. Environ Sci Technol 2012.; 46: 652.-660
18. Berrocal VJ, Gelfand AE, Holland DM. A spatio-Temporal downscaler for output from numerical models. J Agric Biol Environ Stat 2010.; 15: 176.-197
19. Berrocal VJ, Gelfand AE, Holland DM. A bivariate space-Time downscaler under space and time misalignment. Ann Appl Stat 2010.; 4: 1942.-1975
20. Berrocal VJ, Craigmile PF, Guttorp P. Regional climate model assessment using statistical upscaling and downscaling techniques. Environmetrics 2012.; 23: 482.-492
21. Fuentes M, Raftery AE. Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models. Biometrics 2005.; 61: 36.-45
22. Paciorek CJ. Combining spatial information sources while accounting for systematic errors in proxies. J Roy Stat Soc C 2012.; 61: 429.-451
23. Gryparis A, Paciorek CJ, Zeka A, Schwartz J, Coull BA. Measurement error caused by spatial misalignment in environmental epidemiology. Biostatistics 2009.; 10: 258.-274
24. Lee D, Shaddick G. Spatial modeling of air pollution in studies of its short-Term health effects. Biometrics 2010.; 66: 1238.-1246
25. Szpiro AA, Sheppard L, Lumley T. Efficient measurement error correction with spatially misaligned data. Biostatistics 2011.; 12: 610.-623
26. Szpiro AA, Paciorek CJ, Sheppard L. Does more accurate exposure prediction necessarily improve health effect estimates? Epidemiology 2011.; 22: 680.-685
27. Levy RC, Remer LA, Dubovik O. Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land. J Geophys Res Atmos 2007.; 112: D13210, doi:10.1029/2006JD007815. (Pubitemid 47408381)
28. Levy RC, Remer LA, Kleidman RG, Mattoo S, Ichoku C, Kahn R et al. Global evaluation of the Collection 5 MODIS dark-Target aerosol products over land. Atmos Chem Phys 2010.; 10: 10399.-10420
29. Kaufman CG, Schervish MJ, Nychka DW. Covariance tapering for likelihood-based estimation in large spatial datasets. J Am Stat Assoc 2008.; 103: 1545.-1555
30. Wendland H. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degrees. Adv Comput Math 1995.; 4: 389.-396
31. Chib S, Greenberg E. Understanding the Metropolis-Hastings algorithm. Am Stat 1995.; 49: 327.-335
32. Casella G, George EI. Explaining the Gibbs sampler. Am Stat 1992.; 46: 167.-174
33. R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria, 2012
34. Peng RD, Bell ML. Spatial misalignment in time series studies of air pollution and health data. Biostatistics 2010.; 11: 393.-304
35. Chang HH, Peng RD, Dominici F. Estimating the acute health effects of coarse particulate matter accounting for exposure measurement error. Biostatistics 2011.; 12: 637.-652
36. Kumar N, Chu AD, Foster AD, Peters T, Willis R. Satellite remote sensing for developing time and space resolved estimates of ambient particulate in Cleveland, OH. Aerosol Sci Technol 2011.; 45: 1090.-1108.