Articles | Volume 6, issue 7
Atmos. Meas. Tech., 6, 1829–1844, 2013
https://doi.org/10.5194/amt-6-1829-2013

Special issue: Observations and modeling of aerosol and cloud properties...

Atmos. Meas. Tech., 6, 1829–1844, 2013
https://doi.org/10.5194/amt-6-1829-2013
Research article
 | Highlight paper
31 Jul 2013
Research article  | Highlight paper | 31 Jul 2013

MODIS 3 km aerosol product: algorithm and global perspective

L. A. Remer et al.

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Cited articles

Ackerman, S., Frey, R. A., Strabala, K., Liu, Y., Gumley, L., Baum, B., and Menzel, P.: Discriminating clear sky from clouds with MODIS, Algorithm Theoretical Basis Document (MOD35), Version 6.1., available at: http://modis-atmos.gsfc.nasa.gov/reference_atbd.html (last access: 29 July 2013), October 2010.
Al-Saadi, J., Szykman, J., Pierce, R. B., Kittaka, C., Neil, D., Chu, D. A., Remer, L., Gumley, L., Prins, E., Weinstock, L., MacDonald, C., Wayland, R., Dimmick, F., and Fishman, J.: Improving national air quality forecasts with satellite aerosol observations, B. Am. Meteorol. Soc., 86, 1249–1264, https://doi.org/10.1175/BAMS-86-9-1249, 2005.
Anderson, T. L., Charlson, R. J., Winker, D. M., Ogren, J. A., and Holmen, K.: Mesoscale variations of tropospheric aerosols. J. Atmos. Sci., 60, 119–136, https://doi.org/10.1175/1520-0469(2003)060<0119:MVOTA>2.0.CO;2, 2003.
Charlson, R. J., Ackerman, A. S., Bender, F. A.-M., Anderson, T. L., and Liu, Z.: On the climate forcing consequences of the albedo continuum between cloudy and clear air, Tellus B., 59, 715–727, https://doi.org/10.1111/j.1600-0889.2007.00297.x, 2007.
Christopher, S. A., Zhang, J., Kaufman, Y. J., and Remer, L. A.: Satellite-based assessment of top of atmosphere anthropogenic aerosol radiative forcing over cloud-free oceans, Geophys. Res. Lett., 33, L15816, https://doi.org/10.1029/2005GL025535, 2006.