Publication Year: 2013
DOI: https://doi.org/10.1063/1.4821417
Abstract: Views Icon Supplementary auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Data Proceedings Search Advanced Search |Citation Search Peer Review Share Icon Share Twitter Facebook Reddit Views LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Article Search Site Citation M. Sadli, D. del Campo, M. de Show more
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Publication Year: 2011
DOI: https://doi.org/10.5194/amt-4-975-2011
Abstract: Abstract. The retrieval passive satellite aerosol sensors. This provides an opportunity for profound by utilization of statistical optimization principles in satellite data inversion. The emphasizing proposed retrieval scheme is designed as statistically optimized multi-variable fitting statistical of all available angular observations obtained by the POLDER sensor optimization in the window Show more
Authors:
Publication Year: 2006
DOI: https://doi.org/10.5194/acp-6-1815-2006
Abstract: Abstract. The modeling. differences in compositional mixture remain. Of particular concern are large In model diversities for contributions by dust and carbonaceous aerosol, because an they lead to significant uncertainty in aerosol absorption (aab). Since initial aot and aab, both, influence the aerosol impact on the assessment radiative energy-balance, the Show more
Authors:
Publication Year: 2006
DOI: https://doi.org/10.1029/2005jd006328
Abstract: Power laws dependence We find that Angstrom exponents based upon seven wavelengths (0.34, of 0.38, 0.44, 0.5, 0.67, 0.87, and 1.02 μm) are sensitive aerosol to the volume fraction of aerosols with radii less then extinction, 0.6 μm but not to the fine mode effective radius. and The Angstrom exponent Show more
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Publication Year: 2007
DOI: https://doi.org/10.1016/j.rse.2007.08.016
Abstract: Not available
Authors:
Publication Year: 2009
DOI: https://doi.org/10.1016/j.rse.2009.07.022
Abstract: Not available
Authors:
Publication Year: 2018
DOI: https://doi.org/10.1016/j.jqsrt.2018.11.024
Abstract: Polarimetry is sensing well as its polarization state at multiple wavelengths covering the for UV–SWIR spectral range carry substantial implicit information on the atmospheric improved composition. Therefore, high expectations in improving aerosol characterization are associated characterization with detailed passive photopolarimetric observations. The critical need to use of space-borne polarimetry for Show more
Authors:
Publication Year: 2004
DOI: https://doi.org/10.1016/j.rse.2004.09.009
Abstract: Not available
Authors:
Publication Year: 2010
DOI: https://doi.org/10.1016/j.jaerosci.2010.02.008
Abstract: Not available
Authors:
Publication Year: 2007
DOI: https://doi.org/10.1364/ao.46.004455
Abstract: This is the an anisotropic surface. All test cases were characterized by good recently agreement between the 6SV1 and the other codes: The overall developed relative error did not exceed 0.8%. The study also showed vector that ignoring the effects of radiation polarization in the atmosphere version led to large Show more
Authors:
Publication Year: 2002
DOI: https://doi.org/10.1029/2002gl015357
Abstract: Aerosol‐type detection important challenge for improving the estimation of aerosol radiative forcing. from In this paper, we have classified aerosols into four major satellite aerosol types, that is, soil dust, carbonaceous, sulfate and sea remote salt aerosols using SeaWiFS four‐channel data. The retrieved results show sensing that the East China Show more
Authors:
Publication Year: 2001
DOI: https://doi.org/10.1364/ao.40.002398
Abstract: A radiative that of hydrosols are discussed: phytoplankton cells exhibit weak polarization and is small inorganic particles, which are strong backscatterers, contribute appreciably to able the polarized signal. Therefore the use of the polarized signal to to extract the sediment signature promises good results. Also, polarized predict radiance could improve Show more
Authors:
Publication Year: 2002
DOI: https://doi.org/10.1016/s0034-4257(01)00328-5
Abstract: Not available
Authors:
Publication Year: 2018
DOI: https://doi.org/10.1080/22797254.2018.1457937
Abstract: Image correction tool reflectance between iCOR and Aerosol Robotic Network – Ocean Color that provided a quantitative assessment of performance and produced coefficient of can determination (R2) higher than 0.88 in all wavebands except the process 865 nm band. For inland waters, the SIMEC adjacency correction satellite improved results in Show more
Authors:
Publication Year: 2011
DOI: https://doi.org/10.1029/2010jd015469
Abstract: Abstract [1] capability retrieve the oceanic chlorophyll a concentration, wind speed in two of directions, and fractional foam coverage in addition to all parameters satellite related to a bimodal aerosol model. The retrieved values for instruments aerosol optical thickness (AOT) and Angstrom exponent agree well with that Sun photometer measurements Show more
Authors:
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