open access

https://hdl.handle.net/2115/52930

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

英語

2012-06-18

Taylor & Francis

Remote Sensing Letters

3(8)

737-746

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.

学術雑誌論文

Accepted Manuscript

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: http://www.tandfonline.com/10.1080/2150704X.2012.698320.

2150-704X