Retrieval of the columnar aerosol phase function and single-scattering albedo from sky radiance over the ocean: simulations.

Based on the fact that the part of downward radiance that depends on the optical properties of the aerosol in the atmosphere can be extracted from the measured sky radiance, a new scheme for retrieval of the aerosol phase function and the single-scattering albedo over the ocean is developed. This retrieval algorithm is tested with simulations for several cases. It is found that the retrieved aerosol phase function and the single-scattering albedo are virtually error free if the vertical structure of the atmosphere is known and if the sky radiance and the aerosol optical thickness can be measured accurately. The robustness of the algorithm in realistic situations, in which the measurements are contaminated by calibration errors or noise, is examined. It is found that the retrieved value of ω(0) is usually in error by ≲ 10%, and the phase function is accurately retrieved for θ ≲ 90°. However, as the aerosol optical thickness becomes small, e.g., ≲ 0.1, errors in the sky radiance measurement can lead to serious problems with the retrieval algorithm, especially in the blue. The use of the retrieval scheme should be limited to the red and near IR when the aerosol optical thickness is small.

[1]  H. Gordon,et al.  Influence of oceanic whitecaps on atmospheric correction of ocean-color sensors. , 1994, Applied optics.

[2]  M. Mishchenko,et al.  Light scattering by polydispersions of randomly oriented spheroids with sizes comparable to wavelengths of observation. , 1994, Applied optics.

[3]  H. Gordon,et al.  Estimating aerosol optical properties over the oceans with the multiangle imaging spectroadiometer: some preliminary studies. , 1994, Applied optics.

[4]  Yoram J. Kaufman,et al.  Size distribution and scattering phase function of aerosol particles retrieved from sky brightness measurements , 1994 .

[5]  Annick Bricaud,et al.  The POLDER mission: instrument characteristics and scientific objectives , 1994, IEEE Trans. Geosci. Remote. Sens..

[6]  P. Slater,et al.  Uncertainties in the in-flight calibration of sensors with reference to measured ground sites in the 0.4-1.1 μm range , 1994 .

[7]  Menghua Wang,et al.  Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. , 1994, Applied optics.

[8]  Norman J. McCormick,et al.  Inverse radiative transfer problems : a review , 1992 .

[9]  H. Gordon,et al.  Surface-roughness considerations for atmospheric correction of ocean color sensors. I: The Rayleigh-scattering component. , 1992, Applied optics.

[10]  H. Gordon,et al.  Surface-roughness considerations for atmospheric correction of ocean color sensors. II: Error in the retrieved water-leaving radiance. , 1992, Applied optics.

[11]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[12]  M. Wendisch,et al.  High speed version of the method of 'successive order of scattering' and its application to remote sensing , 1991 .

[13]  J. W. Fitzgerald,et al.  Aerosol size distributions and optical properties found in the marine boundary layer over the Atlantic Ocean , 1990 .

[14]  G. Zibordi,et al.  Radiometric and Geometric Calibration of a Visible Spectral Electro-Optic “Fisheye” Camera Radiance Distribution System , 1989 .

[15]  Y. Sasano,et al.  Light scattering characteristics of various aerosol types derived from multiple wavelength lidar observations. , 1989, Applied optics.

[16]  Teruyuki Nakajima,et al.  Aerosol Optical Characteristics in the Yellow Sand Events Observed in May, 1982 at Nagasaki-Part II Models , 1989 .

[17]  H. Gordon,et al.  Aerosol analysis with the Coastal Zone Color Scanner: a simple method for including multiple scattering effects. , 1989, Applied optics.

[18]  D. Diner,et al.  MISR: A multiangle imaging spectroradiometer for geophysical and climatological research from Eos , 1989 .

[19]  V. Salomonson,et al.  MODIS: advanced facility instrument for studies of the Earth as a system , 1989 .

[20]  M. S. Moran,et al.  Reflectance- and radiance-based methods for the in-flight absolute calibration of multispectral sensors , 1987 .

[21]  H. Gordon,et al.  Coastal Zone Color Scanner atmospheric correction algorithm: multiple scattering effects. , 1987, Applied optics.

[22]  S. Warren,et al.  Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate , 1987, Nature.

[23]  Y. Kaufman,et al.  Calibration of satellite sensors after launch. , 1986, Applied optics.

[24]  Ross Nelson,et al.  Directional Reflectance Distributions of a Hardwood and Pine Forest Canopy , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[25]  Arlin J. Krueger,et al.  A global climatology of total ozone from the Nimbus 7 total ozone mapping spectrometer , 1985 .

[26]  Compton J. Tucker,et al.  Directional reflectance factor distributions for cover types of Northern Africa , 1985 .

[27]  Curtis D. Mobley,et al.  Direct and inverse irradiance models in hydrologic optics1 , 1984 .

[28]  J. W. Brown,et al.  Nimbus 7 CZCS: reduction of its radiometric sensitivity with time. , 1983, Applied optics.

[29]  P. Deschamps,et al.  Modeling of the atmospheric effects and its application to the remote sensing of ocean color. , 1983, Applied optics.

[30]  T. Nakajima,et al.  Retrieval of the optical properties of aerosols from aureole and extinction data. , 1983, Applied optics.

[31]  Michael D. King,et al.  Number of terms required in the Fourier expansion of the reflection function for optically thick atmospheres. , 1983 .

[32]  Teruyuki Nakajima,et al.  Effect of wind-generated waves on the transfer of solar radiation in the atmosphere-ocean system , 1983 .

[33]  D. Kimes.  Dynamics of directional reflectance factor distributions for vegetation canopies. , 1983, Applied optics.

[34]  D S Kimes,et al.  Variation of directional reflectance factors with structural changes of a developing alfalfa canopy. , 1982, Applied optics.

[35]  P Koepke,et al.  Vicarious satellite calibration in the solar spectral range by means of calculated radiances and its application to Meteosat. , 1982, Applied optics.

[36]  M. Box,et al.  An approximation to multiple scattering in the earth's atmosphere Almucantar radiance formulation , 1981 .

[37]  R. W. Austin,et al.  Nimbus-7 Coastal Zone Color Scanner: System Description and Initial Imagery , 1980, Science.

[38]  H. Gordon,et al.  Phytoplankton Pigments from the Nimbus-7 Coastal Zone Color Scanner: Comparisons with Surface Measurements , 1980, Science.

[39]  H. Quenzel,et al.  Optical properties of the atmosphere: calculated variability and application to satellite remote sensing of phytoplankton. , 1980, Applied optics.

[40]  M. Box,et al.  Retrieval of aerosol size distributions by inversion of simulated aureole data in the presence of multiple scattering. , 1979, Applied Optics.

[41]  Michael D. King,et al.  A Method for Inferring Total Ozone Content from the Spectral Variation of Total Optical Depth Obtained with a Solar Radiometer , 1976 .

[42]  George W. Kattawar,et al.  A three parameter analytic phase function for multiple scattering calculations , 1975 .

[43]  J. Hansen,et al.  Light scattering in planetary atmospheres , 1974 .

[44]  W. Munk,et al.  Measurement of the Roughness of the Sea Surface from Photographs of the Sun’s Glitter , 1954 .

[45]  S. Hooker.  An overview of SeaWiFS and ocean color , 1992 .

[46]  Menghua Wang,et al.  Atmospheric correction of the second generation ocean color sensors , 1991 .

[47]  J. W. Brown,et al.  Phytoplankton pigment concentrations in the Middle Atlantic Bight: comparison of ship determinations and CZCS estimates. , 1983, Applied optics.

[48]  Michael D. King,et al.  Determination of the Ground Albedo and the Index of Absorption of Atmospheric Particulates by Remote Sensing. Part I : Theory' , 1979 .

[49]  D. Deirmendjian.  Electromagnetic scattering on spherical polydispersions , 1969 .

[50]  G. Mie.  Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen , 1908 .