Two-dimensional, threshold-based cloud type classification using MTSAT data

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Abstract

A new two-dimensional threshold diagram (2D-THR) has been developed based on maximum likelihood cloud classification results, which can readily be applied for Multi-functional Transport Satellite (MTSAT) split window datasets. Since 2D-THR was trained using northern summer 2010 data for Japan and its surrounding area, it is typically suitable only for summer. Comparison of snapshot cloud-type distributions showed that 2D-THR images and the corresponding night-time microphysical colour composite images as well as 2D-THR and Japan Meteorological Agency (JMA) cloud-type images are in good agreement. A time series inter-comparison of the hourly 2D-THR cloud classification results with the JMA cloud type classification data product was performed by calculating spatial correlation of cloud percentage for 1° × 1° grid cells. For cumulonimbus, high-level, middle-level, and low-level clouds over tropical and subtropical areas in the northwestern Pacific Ocean region, the spatial correlation between 2D-THR and JMA is moderate. Thus, 2D-THR cloud-classification algorithm can be applied in both regions.

Journal

  • Remote Sensing Letters

    Remote Sensing Letters 3(8), 737-746, 2012-06-18

    Taylor & Francis

Codes

  • NII Article ID (NAID)
    120005295645
  • Text Lang
    ENG
  • Article Type
    journal article
  • ISSN
    2150-704X
  • Data Source
    IR 
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