Aerosol optical thickness (AOT) was retrieved using the Advanced Very High Resolution Radiometer (AVHRR) PATMOS-x Level-2b gridded radiances and the two-channel algorithm of the National Climatic Data Center (NCDC). The primary retrieval product is AOT at 0.63?μm channel. AOT is also retrieved at 0.83?μm or 1.61?μm channel for consistent check. The retrieval was made during day time, under clear sky and snow-free conditions, and over the global oceans. The spatial resolution is degree grid and the temporal resolution is both daily and monthly. The resultant AVHRR AOT climate data record (CDR) spans from August 1981 to December 2009 and provides the longest aerosol CDR currently available from operational satellites. This dataset is useful in studying aerosol climate forcing, monitoring long-term aerosol trends, and evaluating global air pollution and aerosol transport models over the global ocean. 1. Introduction Aerosols affect the climate through direct and indirect effects. For example, they affect the surface and atmospheric radiation budgets directly through scattering and absorbing shortwave radiation [1, 2]. They also affect climate indirectly through the interaction with clouds and precipitation in a number of intricate ways [3, 4]. Uncertainty in aerosol effects on climate is one of the largest uncertainties in climate forcing [5]. A long-term aerosol dataset with climate quality is essential in reducing the uncertainty of aerosol effect on climate. Satellite remote sensing of aerosols is the only way to provide aerosol data coverage over the globe for multidecadal time periods [6, 7]. Advanced Very High Resolution Radiometer (AVHRR) measurement is the longest operational global satellite observation of the Earth’s atmosphere and surface. Observed radiances/reflectances have been widely used to derive long-term products of atmospheric variables, such as cloud and aerosol (see, e.g., [8–12]). AVHRR radiances have been carefully recalibrated recently using more accurate Moderate Resolution Imaging Spectroradiometer (MODIS) radiances to achieve a better quality [13–15]. The newly calibrated radiances are aggregated into degree orbital grid in the AVHRR Pathfinder Atmospheric Extended (PATMOS-x) Level-2b climate data product [14]. Using the AVHRR PATMOS-x Level-2b top of atmosphere (TOA) radiances and the two-channel aerosol retrieval algorithm [12, 16] of the National Climatic Data Center (NCDC), aerosol optical thickness (AOT) has been retrieved over global oceans from August 1981 to December 2009, which forms the longest aerosol CDR currently
References
[1]
A. Ohmura, “Observed decadal variations in surface solar radiation and their causes,” Journal of Geophysical Research, vol. 114, Article ID D00D5, 9 pages, 2009.
[2]
M. Wild, B. Trüssel, A. Ohmura et al., “Global dimming and brightening: an update beyond 2000,” Journal of Geophysical Research, vol. 114, no. 10, Article ID D00D13, 14 pages, 2009.
[3]
P. V. Hobbs, Aerosol-Cloud-Climate Interactions, Academic Press, San Diego, Calif, USA, 1993.
[4]
U. Lohmann and J. Feichter, “Global indirect aerosol effects: a review,” Atmospheric Chemistry and Physics, vol. 5, no. 3, pp. 715–737, 2005.
[5]
IPCC, Climate Change 2007: The Physical Science Basis, New York, NY, USA, 2007.
[6]
M. D. King, Y. J. Kaufman, D. Tanré, and T. Nakajima, “Remote sensing of tropospheric aerosols from space: past, present, and future,” Bulletin of the American Meteorological Society, vol. 80, no. 11, pp. 2229–2259, 1999.
[7]
M. I. Mishchenko, I. V. Geogdzhayev, B. Cairns et al., “Past, present, and future of global aerosol climatologies derived from satellite observations: a perspective,” Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 106, no. 1–3, pp. 325–347, 2007.
[8]
A. Higurashi and T. Nakajima, “Development of a two-channel aerosol retrieval algorithm on a global scale using NOAA AVHRR,” Journal of the Atmospheric Sciences, vol. 56, no. 7, pp. 924–941, 1999.
[9]
M. I. Mishchenko, I. V. Geogdzhayev, B. Cairns, W. B. Rossow, and A. A. Lacis, “Aerosol retrievals over the ocean by use of channels 1 and 2 AVHRR data: sensitivity analysis and preliminary results,” Applied Optics, vol. 38, no. 36, pp. 7325–7341, 1999.
[10]
A. K. Heidinger and M. J. Pavolonis, “Global daytime distribution of overlapping cirrus cloud from NOAA's Advanced Very High Resolution Radiometer,” Journal of Climate, vol. 18, no. 22, pp. 4772–4784, 2005.
[11]
M. I. Mishchenko, I. V. Geogdzhayev, W. B. Rossow et al., “Long-term satellite record reveals likely recent aerosol trend,” Science, vol. 315, no. 5818, p. 1543, 2007.
[12]
T. X. P. Zhao, I. Laszlo, W. Guo et al., “Study of long-term trend in aerosol optical thickness observed from operational AVHRR satellite instrument,” Journal of Geophysical Research, vol. 113, no. 7, Article ID D07201, 14 pages, 2008.
[13]
A. K. Heidinger, C. Cao, and J. T. Sullivan, “Using Moderate Resolution Imaging Spectrometer (MODIS) to calibrate advanced very high resolution radiometer reflectance channels,” Journal of Geophysical Research, vol. 107, no. 23, Article ID 4702, 10 pages, 2002.
[14]
A. K. Heidinger, W. C. Straka, C. C. Molling, J. T. Sullivan, and X. Q. Wu, “Deriving an inter-sensor consistent calibration for the AVHRR solar reflectance data record,” International Journal of Remote Sensing, vol. 31, no. 24, pp. 6493–6517, 2010.
[15]
C. Cao, M. Weinreb, and H. Xu, “Predicting simultaneous nadir overpasses among polar-orbiting meteorological satellites for the intersatellite calibration of radiometers,” Journal of Atmospheric and Oceanic Technology, vol. 21, no. 4, pp. 537–542, 2004.
[16]
T. X. P. Zhao, O. Dubovik, A. Smirnov et al., “Regional evaluation of an advanced very high resolution radiometer (AVHRR) two-channel aerosol retrieval algorithm,” Journal of Geophysical Research, vol. 109, no. 2, Article ID D02204, 13 pages, 2004.
[17]
M. D. King, W. P. Menzel, Y. J. Kaufman et al., “Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS,” IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 2, pp. 442–458, 2003.
[18]
E. F. Vermote, D. Tanré, J. L. Deuzé, M. Herman, and J. J. Morcrette, “Second simulation of the satellite signal in the solar spectrum, 6S: an overview,” IEEE Transactions on Geoscience and Remote Sensing, vol. 35, no. 3, pp. 675–686, 1997.
[19]
E. F. Vermote, D. Tanre, J. L. Deuze, M. Herman, and J. J. Morcrette, 6S User Guide Version 2. p. 218, 1997.
[20]
A. K. Heidinger, A. T. Evan, and M. J. Foster, “A naive Bayesian cloud-detection scheme derived from CALIPSO and applied withing PATMOS-x,” Journal of Applied Meteorology and Climatology, vol. 51, no. 6, pp. 1129–1144, 2012.
[21]
B. N. Holben, T. F. Eck, I. Slutsker et al., “AERONET—a federated instrument network and data archive for aerosol characterization,” Remote Sensing of Environment, vol. 66, no. 1, pp. 1–16, 1998.
[22]
T. X. P. Zhao, L. L. Stowe, A. Smirnov, D. Crosby, J. Sapper, and C. R. McClain, “Development of a global validation package for satellite oceanic aerosol optical thickness retrieval based on AERONET observations and its application to NOAA/NESDIS operational aerosol retrievals,” Journal of the Atmospheric Sciences, vol. 59, no. 3, pp. 294–312, 2002.
[23]
T. X. P. Zhao, I. Laszlo, P. Minnis, and L. Remer, “Comparison and analysis of two aerosol retrievals over the ocean in the Terra/Clouds and the Earth's Radiant Energy System—Moderate Resolution Imaging Spectroradiometer single scanner footprint data: 1. Global evaluation,” Journal of Geophysical Research, vol. 110, no. 21, Article ID D21208, 15 pages, 2005.
[24]
T. X. P. Zhao, I. Laszlo, P. Minnis, and L. Remer, “Comparison and analysis of two aerosol retrievals over the ocean in the Terra/Clouds and the Earth's Radiant Energy System—Moderate Resolution Imaging Spectroradiometer single scanner footprint data: 2. Regional evaluation,” Journal of Geophysical Research, vol. 110, no. 21, Article ID D21209, 18 pages, 2005.
[25]
Z. Li, X. Zhao, R. Kahn et al., “Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective,” Annales Geophysicae, vol. 27, no. 7, pp. 2755–2770, 2009.