Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance

Journal of Geophysical Research Atmospheres

Volumn 112, Issue 13, 2007, Pages

  Levy, Robert C ^a,b,c   Remer, Lorraine A ^b   Mattoo, Shana ^a,b   Vermote, Eric F ^d   Kaufman, Yoram J ^b  

^a SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c Bldg 142   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ATMOSPHERIC AEROSOLS; OPTICAL PROPERTIES; TABLE LOOKUP;

AEROSOL; ALGORITHM; INVERSE ANALYSIS; MODIS; OPTICAL DEPTH; PERFORMANCE ASSESSMENT; SATELLITE IMAGERY; SHORTWAVE RADIATION; SPECTRAL REFLECTANCE;

EID: 34548637011     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006JD007811     Document Type: Article

References (43)

1. Ahmad, Z., and R. S. Fraser (1982), An iterative radiative transfer code for ocean-atmosphere system, J. Atmos. Sci., 39, 656-665.
2. Al-Saadi, J., et al. (2005), Improving national air quality forecasts with satellite aerosol observations, Bull. Am. Meteorol. Soc., 86(9), 1249-1261.
3. Anderson, T. L., Y. Wu, D. A. Chu, B. Schmid, J. Redemann, and O. Dubovik (2006), Testing the MODIS satellite retrieval of aerosol fine-mode fraction, J. Geophys. Res., 110, D18204, doi:10.1029/ 2005JD005978.
4. Bodhaine, B. A., et al. (1999), On Rayleigh optical depth calculations, J. Atmos. Ocean. Technol., 16(11), 1854-1861.
5. Chu, D. A., et al. (2002), Validation of MODIS aerosol optical depth retrieval over land, Geophys. Res. Lett., 29(12), 8007, doi:10.1029/2001GL013205.
6. Chu, D. A., Y. J. Kaufman, G. Zibordi, J. D. Chern, J. Mao, C. Li, and B. N. Holben (2003), Global monitoring of air pollution over land from EOS-Terra MODIS, J. Geophys. Res., 108(D21), 4661, doi:10.1029/ 2002JD003179.
7. Chu, D. A., et al. (2005), Evaluation of aerosol properties over ocean from Moderate Resolution Imaging Spectroradiometer (MODIS) during ACE-Asia, J. Geophys. Res., 110, D07308, doi:10.1029/2004JD005208.
8. Dave, J. V. (1970), Intensity and polarization of radiation emerging from a plane-parallel atmosphere containing monodispersed aerosols, Appl. Opt., 9(12), 2673-2684.
9. Dubovik, O., and M. D. King (2000), A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res, 105(D16), 20,673-20,696.
10. Dubovik O., et al. (2002), Non-spherical aerosol retrieval method employing light scattering by spheroids, Geophys. Res. Lett., 29(10), 1415, doi:10.1029/2001GL014506.
11. Dubovik, O., et al. (2006), Application of light scattering by spheroids for accounting for particle nonsphericity in remote sensing of desert dust J. Geophys. Res., 111, D11208, doi:10.1029/2005JD006619.
12. Dutton, E. G., P. Reddy, S. Ryan, and J. J. DeLuisi (1994), Features and effects of aerosol optical depth observed at Mauna Loa, Hawaii: 1982-1992, J. Geophys. Res., 99, 8295-8306.
13. Eck, T. F., et al. (1999), Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols, J. Geophys. Res, 104(D24), 31,333-31,349.
14. Evans, K. F., and G. L. Stephens (1991), A new polarized atmospheric radiative transfer model, J. Quant. Spectrosc. Radiat. Transfer, 46(5), 413-423.
15. Fraser, R. H., R. A. Ferrare, Y. J. Kaufman, and S. Mattoo (1989), Algorithm for atmospheric corrections of aircraft and satellite imagery, Tech. Memo. 100751, NASA Goddard Space Flight Cent., Greenbelt, Md.
16. Gatebe, C. K., et al. (2001), Sensitivity of off-nadir zenith angles to correlation between visible and near-infrared reflectance for use in remote sensing of aerosol over land, IEEE Trans. Geosci. Remote Sens., 39(4), 805-819.
17. Holhen, B. N., et al. (1998), AERONET - A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66(1), 1-16.
18. Ichoku, C., et al. (2002), A spatio-temporal approach for global validation and analysis of MODIS aerosol products, Geophys. Res. Lett., 29(12), 8006, doi:10.1029/2001GL013206.
19. Intergovernmental Panel on Climate Change (2001), Climate Change 2001: The Scientific Basis, edited by J. T. Houghton et al., 944 pp., Cambridge Univ. Press, Cambridge, UK.
20. Karnieli, A., Y. J. Kaufman, L. A. Remer, and A. Wald (2001), AFRI-aerosol free vegetation index, Remote Sens. Environ., 77(1), 1-21.
21. Kaufman, Y. J., and C. Sendra (1988), Algorithm for atmospheric corrections of visible and Near IR satellite imagery, Int. J. Remote Sens., 9, 1357-1381.
22. Kaufman, Y. J., et al. (1997a), Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer, J. Geophys. Res, 102(D14), 17,051-17,067.
23. Kaufman, Y. J., et al. (1997b), The MODIS 2.1-μm channel - Correlation with visible reflectance for use in remote sensing of aerosol, IEEE Trans. Geosci. Remote Sens., 35(5), 1286-1298.
24. Kaufman, Y. J., et al. (2002), Relationship between surface reflectance in the visible and mid-IR used in MODIS aerosol algorithm: Theory, Geophys. Res. Lett., 29(23), 2116, doi:10.1029/2001GL014492.
25. Kaufman, Y. J., et al. (2005), Aerosol anthropogenic component estimated from satellite data, Geophys. Res. Lett., 32, L17804, doi:10.1029/ 2005GL023125.
26. King, M. D., W. P. Menzel, Y. J. Kaufman, D. Tanre, B.-C. Gao, S. Platnick, S. A. Ackerman, L. A. Remer, R. Pincus, and P. A. Hubanks (2003), Cloud and aerosol properties, precipitable water, and profiles of temperature and humidity from MODIS, IEEE Trans. Geosci. Remote Sens., 41, 442-458.
27. Kleidman, R. G., et al. (2005), Comparison of moderate resolution Imaging spectroradiometer (MODIS) and aerosol robotic network (AERONET) remote-sensing retrievals of aerosol fine mode fraction over ocean, J. Geophys. Res., 110, D22205, doi:10.1029/2005JD005760.
28. Levy, R. C., et al. (2004), Effects of neglecting polarization on the MODIS aerosol retrieval over land, IEEE Trans. Geosci. Remote Sens., 42(11), 2576-2583.
29. Levy, R. C., et al. (2005), Evaluation of the MODIS aerosol retrievals over ocean and land during CLAMS, J. Atmos. Sci., 62(4), 974-992.
30. Levy, R. C., et al. (2007), Global aerosol optical properties and application to MODIS aerosol retrieval over land, J. Geophys. Res., 112, D13210, doi:10.1029/2006JD007815.
31. Li, R. R., et al. (2005), Snow and ice mask for the MODIS aerosol products, IEEE Geosci. Remote Sens. Lett., 2(3), 306-310.
32. Lyapustin, A. I. (2001), Three-dimensional effects in the remote sensing of surface albedo, IEEE Trans. Geosci. Remote Sens., 39(2), 254-263.
33. Martins, J. V., et al. (2002), MODIS Cloud screening for remote sensing of aerosols over oceans using spatial variability, Geophys. Res. Lett., 29(12), 8009, doi:10.1029/2001GL013252.
34. Moody, E. G., M. D. King, S. Platnick, C. B. Schaaf, and F. Gao (2005), Spatially complete global spectral surface albedos: Value-added datasets derived from Terra MODIS land products, IEEE Trans. Geosci. Remote Sens., 43, 144-158.
35. O'Neill, N. T., T. F. Eck, A. Smirnov, B. N. Holben, and S. Thulasiraman (2003), Spectral discrimination of coarse and fine mode optical depth, J. Geophys. Res., 108(DX), 4559, doi:10.1029/2002JD002975.
36. Remer, L. A., et al. (2001), Angular and seasonal variation of spectral surface reflectance ratios: Implications for the remote sensing of aerosol over land, IEEE Trans. Geosci. Remote Sens., 39(2), 275-283.
37. Remer, L. A., et al. (2005), The MODIS aerosol algorithm, products, and validation, J. Atmos. Sci., 62(4), 947-973.
38. Tanré, D., M. Hermon, and Y. J. Kaufman (1996), Information on aerosol size distribution contained in solar reflectance spectral radiances, J. Geophys. Res., 101(D14), 19,043-19,060.
39. Tanré, D., et al. (1997), Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances, J. Geophys. Res., 102(D14), 16,971-16,988.
40. U.S. Government Printing Office (1976), U.S. Standard Atmosphere, Washington, D. C.
41. Vermote, E. F., et al. (1997), Second simulation of the satellite signal in the solar spectrum, 6S: An overview, IEEE Trans. Geosci. Remote Sens., 35(3), 675-686.
42. Wiscombe, W. J. (1981), Improved Mie scattering algorithms, Appl. Opt., 19, 1505-1509.
43. Yu, H., et al. (2006), A review of measurement-based assessments of aerosol direct radiative effect and forcing, Atmos. Chem. Phys., 6, 613-666.