Cloud Base Height Estimation from ISCCP Cloud-Type Classification Applied to A-Train Data
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Cloud Base Height Estimation from ISCCP Cloud-Type Classification Applied to A-Train Data

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  • Journal Title:
    Advances in Meteorology
  • Personal Author:
  • NOAA Program & Office:
    CIRA (Cooperative Institute for Research in the Atmosphere)
  • Description:
    Cloud base height (CBH) is an important cloud macro parameter that plays a key role in global radiation balance and aviation flight. Building on a previous algorithm, CBH is estimated by combining measurements from CloudSat/CALIPSO and MODIS based on the International Satellite Cloud Climatology Project (ISCCP) cloud-type classification and aweighted distance algorithm. Additional constraints on cloud water path (CWP) and cloud top height (CTH) are introduced. The combined algorithm takes advantage of active and passive remote sensing to effectively estimate CBH in a wide-swath imagery where the cloud vertical structure details are known only along the curtain slice of the nonscanning active sensors. Comparisons between the estimated and observed CBHs show high correlation. The coefficient of association (R-2) is 0.8602 with separation distance between donor and recipient points in the range of 0 to 100 km and falls off to 0.5856 when the separation distance increases to the range of 401 to 600 km. Also, differences are mainly within 1 km when separation distance ranges from 0 km to 600 km. The CBH estimation method was applied to the 3D cloud structure of Tropical Cyclone Bill, and the method is further assessed by comparing CTH estimated by the algorithmwith the MODIS CTH product.
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    Advances in Meteorology, vol. 2017, Article ID 3231719
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    Journal Article
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    CC BY
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    Library
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