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

• Suseno, Dwi Prabowo Yuga

• Yamada, Tomohito J.

抄録

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.

収録刊行物

• Remote Sensing Letters

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

  Taylor & Francis

詳細情報

• CRID: 1050845763942066176
• NII論文ID: 120005295645
• HANDLE: 2115/52930
• ISSN: 2150704X
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles