AEROSAT International Satellite Aerosol Science Network

Bibliography


Publications relevant to AEROSAT activities and results are posted here.


We also list here some publications of interest on satellite aerosol: 


Books

  • Lenoble, J., Remer, L., Tanré, D., (Editors), 2013: Aerosol Remote Sensing. Springer-Verlag (Berlin). ISBN 978-3-642-17724-8, 389 pp.

  • Kokhanovsky, A.A., and  G. de Leeuw (Editors), 2009: Satellite Aerosol Remote Sensing Over Land. Springer-Praxis (Berlin). ISBN 978-3-540-69396-3, 388 pp.



Products & Algorithms


MODIS

  • Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989-3034, doi:10.5194/amt-6-2989-2013, 2013.

  • Sayer, AM; Hsu, NC; Bettenhausen, C; Jeong, MJ (2013). Validation and uncertainty estimates for MODIS Collection 6 "Deep Blue" aerosol data. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 118(14), 7864-7872.

MISR

  • Kahn, R.A., B.J. Gaitley, M.J. Garay, D.J. Diner, T. Eck, A. Smirnov, and B.N. Holben, 2010. Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network. J. Geophys. Res. 115, D23209, doi: 10.1029/2010JD014601.


SeaWiFS

  • Sayer, AM; Hsu, NC; Bettenhausen, C; Ahmad, Z; Holben, BN; Smirnov, A; Thomas, GE; Zhang, J (2012).SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 117, D03206.
  • Sayer, AM; Hsu, NC; Bettenhausen, C; Jeong, MJ; Holben, BN; Zhang, J (2012). Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS. ATMOSPHERIC MEASUREMENT TECHNIQUES, 5(7), 1761-1778.


(A)ATSR

  • Bevan, S.L., North, P.R.J., Los, S.O., Grey​, W.M.F., A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR, Remote Sensing of Environment, 116 (2012), 199–210.

  • Kolmonen, P., Sundström, A.-M., Sogacheva, L., Rodriguez, E., Virtanen, T., and de Leeuw, G.: Uncertainty characterization of AOD for the AATSR dual and single view retrieval algorithms, Atmos. Meas. Tech. Discuss., 6, 4039-4075, doi:10.5194/amtd-6-4039-2013, 2013.

  • Thomas, G.E., Sayer, A.M., Marsh, S.H., Dean, S.M., Carboni, E., Grainger, R.G., Poulsen, C.A., Siddans, R., Lawrence, B.N., 

    The GRAPE aerosol retrieval algorithm, Atmospheric Measurement Techniques, 2 (2009) 679-701.

  • Holzer-Popp, T., Schroedter-Homscheidt, M., Breitkreuz, H., Martynenko, D., and Klu ̈ser, L.: Improvements of synergetic aerosol retrieval for ENVISAT, Atmos. Chem. Phys., 8, 7651– 7672, doi:10.5194/acp-8-7651-2008, 2008.


MERIS

  • Santer, R., Carrere, V., Dubuisson, P., & Roger, J. C. (1999). Atmospheric correction over land for MERIS. International Journal of Remote Sensing, 20, 1819–1840.
  • von Hoyningen-Huene, W., Yoon, J., Vountas, M., Istomina, L., Rohen, G., Dinter, T., et al. (2011). Retrieval of spectral aerosol optical thickness over land using ocean colour sensors MERIS and SeaWiFS. Atmospheric Measurement Techniques Discussions, 3, 2107–2164. http://dx.doi.org/10.5194/amtd-3-2107-2010


GOMOS

  • Optical extinction by upper tropospheric/stratospheric aerosols and clouds: GOMOS observations for the period 2002–2008F. Vanhellemont, D. Fussen, N. Mateshvili, C. Tétard, C. Bingen, E. Dekemper, N. Loodts, E. Kyrölä, V. Sofieva, J. Tamminen, A. Hauchecorne, J.-L. Bertaux, F. Dalaudier, L. Blanot, O. Fanton d'Andon, G. Barrot, M. Guirlet, T. Fehr, and L. SaavedraAtmos. Chem. Phys., 10, 7997-8009, 2010


OMI

  • Stein-Zweers, D. C.; Veihelmann, B.; Veefkind, J. P.; Stammes, P.; Levelt, P.,Evaluation of spatial and temporal trends in absorbing aerosol presence using OMI OMAERO Aerosol Index data, EGU General Assembly 2009, held 19-24 April, 2009 in Vienna, Austriahttp://meetings.copernicus.org/egu2009, p.9632



Intercomparisons


  • Kinne, S., et al. (2006), An AeroCom initial assessment—Optical properties in aerosol component modules of global models, Atmos. Chem. Phys., 6, 1815–1834.

  • de Leeuw, G., T. Holzer-Popp, S. Bevan, W. Davies, J. Descloitres, R.G. Grainger, J. Griesfeller, A. Heckel, S. Kinne, L. Klüser, P. Kolmonen, P. Litvinov, D. Martynenko, P.J.R. North, B. Ovigneur, N. Pascal, C. Poulsen, D. Ramon, M. Schulz, R.Siddans, L. Sogacheva, D. Tanré, G.E. Thomas, T.H. Virtanen, W. von Hoyningen Huene, M.Vountas, S. Pinnock (2013). Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis, Remote Sensing of Environment (2013), http://dx.doi.org/10.1016/j.rse.2013.04.023


Long Term Trends


  • Li, Z., X. Zhao, R. Kahn, M. Mishchenko, L. Remer, K.-H. Lee, M.Wang, I. Laszlo, T. Nakajima, and H. Maring, 2009, Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective, Ann. Geophys., 27, 1–16.



Sea-Spray Aerosol


  • de Leeuw, G., E. L. Andreas, M. D. Anguelova, C. W. Fairall, E. R. Lewis, C. O'Dowd, M. Schulz, and S. E. Schwartz (2011), Production flux of sea spray aerosol, Rev. Geophys., 49, RG2001, doi:10.1029/2010RG000349


Desert Dust


  • Carboni, E., et al., 2012. Inter-comparison of desert dust optical depth from satellite measurements. Atmos. Meas. Tech. 5, 1973-2002, doi:10.5194/amt-5-1973-2012.