Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals

Despite its importance as one of the key radiative properties that determines the impact of upper tropospheric clouds on the radiation balance, ice cloud optical thickness (IOT) has proven to be one of the more challenging properties to retrieve from space-based remote sensing measurements. In parti...

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Bibliographic Details
Published in:Atmospheric chemistry and physics 2016-04, Vol.16 (8), p.5075-5090
Main Authors: Holz, Robert E, Platnick, Steven, Meyer, Kerry, Vaughan, Mark, Heidinger, Andrew, Yang, Ping, Wind, Gala, Dutcher, Steven, Ackerman, Steven, Amarasinghe, Nandana, Nagle, Fredrick, Wang, Chenxi
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Bias
Cirrus clouds
Clouds (Meteorology)
Collection
Consistency
Distribution
Ice
Ice clouds
Ice cover
Infrared radiation
Investigations
Lidar
Light scattering
Mathematical models
Meteorological satellites
MODIS
Optical properties
Optical radar
Optical thickness
Probability distribution functions
Products
Radiation
Radiation balance
Ratios
Remote sensing
Scattering
Spatial distribution
Temperature
Troposphere
Tropospheric clouds
Visible spectrum
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Summary:Despite its importance as one of the key radiative properties that determines the impact of upper tropospheric clouds on the radiation balance, ice cloud optical thickness (IOT) has proven to be one of the more challenging properties to retrieve from space-based remote sensing measurements. In particular, optically thin upper tropospheric ice clouds (cirrus) have been especially challenging due to their tenuous nature, extensive spatial scales, and complex particle shapes and light-scattering characteristics. The lack of independent validation motivates the investigation presented in this paper, wherein systematic biases between MODIS Collection 5 (C5) and CALIOP Version 3 (V3) unconstrained retrievals of tenuous IOT (
ISSN:1680-7324
1680-7316
1680-7324
DOI:10.5194/acp-16-5075-2016