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

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Title: Two-dimensional, threshold-based cloud type classification using MTSAT data
Authors: Suseno, Dwi Prabowo Yuga Browse this author
Yamada, Tomohito J. Browse this author →KAKEN DB
Issue Date: 18-Jun-2012
Publisher: Taylor & Francis
Journal Title: Remote Sensing Letters
Volume: 3
Issue: 8
Start Page: 737
End Page: 746
Publisher DOI: 10.1080/2150704X.2012.698320
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.
Rights: This is an Author's Accepted Manuscript of an article published in Remote Sensing Letters, Volume 3, Issue 8, 18 Jun 2012, pages 737-746, © 2012 Taylor & Francis, available online at:
Type: article (author version)
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 山田 朋人

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