… Characteristics of AOD error for standard MODIS land and ocean aerosol retrieval algorithms
and error in CALIOP AOD resulting from 10% and 30% errors in selection of lidar ratio S. …

… phase method available in the Version 3 CALIOP cloud products. Comparisons indicate
that the new C6 MODIS IR phase algorithm improves the detection of ice clouds, with far fewer …

… For feature detection with the research algorithm, we apply a … , as described in the CALIPSO
algorithm theoretical basis … portion of the data to the modeled molecular profile, α·βw(z)T …

… observations of cloudiness and cloud properties, where large parts of the Earth, especially
… cloud detection probability as a function of cloud layer optical thickness. Section 2 describes …

… the spatial and optical properties of clouds and aerosols is to … Section 2 presents a refined
method for determining feature … fixed window used in the CALIOP feature detection algorithm, …

… 2005: CALIOP algorithm theoretical basis document—Part 3: Scene classification
algorithms. Release 1.0, PC-SCI-202, NASA Langley Research Center, Hampton, VA, 56 [Available …

… dust features result from the CALIOP feature detection and averaging scheme, which tends
to exclude non-dust aerosol layers within dust layers if … the optical properties for CALIOP dust …

… the spatial and optical properties of clouds and aerosols is to … Section 2 presents a refined
method for determining feature … used in the CALIOP feature detection algorithm, provides …

… for the CALIOP algorithm, since these are distinct layers … optical properties, detection of
boundaries between aerosol layers of … In the CALIOP algorithm, layer boundaries for contiguous …

… aerosols, which allows the identification of smoke layers in regions and seasons when the
dust… of OMI, CALIOP and AIRS observations for the characterization of aerosol properties, and …