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Influence of Cloud-Top Height and Geometric Thickness on a MODIS Infrared-Based Ice Cloud Retrieval
Author(s) -
Kevin Garrett,
Ping Yang,
Shaima L. Nasiri,
Christopher R. Yost,
Bryan A. Baum
Publication year - 2008
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/2008jamc1915.1
Subject(s) - ice cloud , remote sensing , environmental science , moderate resolution imaging spectroradiometer , cloud top , infrared , optical depth , radiative transfer , cloud computing , atmospheric sciences , cloud height , brightness temperature , atmospheric infrared sounder , cloud fraction , brightness , spectroradiometer , satellite , meteorology , cloud cover , physics , geology , aerosol , optics , computer science , reflectivity , astronomy , operating system
The retrieval of ice cloud microphysical and optical properties from satellite-based infrared observation remains a challenging research topic, partly because of the sensitivity of observed infrared radiances to many surface and atmospheric parameters that vary on fine spatial and temporal scales. In this study, the sensitivity of an infrared-based ice cloud retrieval to effective cloud temperature is investigated, with a focus on the effects of cloud-top height and geometric thickness. To illustrate the sensitivity, the authors first simulate brightness temperatures at 8.5 and 11.0 μm using the discrete ordinates radiative transfer (DISORT) model for five cloud-top heights ranging from 8 to 16 km and for varying cloud geometric thicknesses of 1, 2, 3, and 5 km. The simulations are performed across a range of visible optical thicknesses from 0.1 to 10 and ice cloud effective diameters from 30 to 100 μm. Furthermore, the effective particle size and optical thickness of ice clouds are retrieved fro...

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