Cloud Retrieval and Cloud Type Detection from Himawari-8 Satellite Data Based on the Split Window Algorithm

[ABSTRACT]Cloud detection and cloud type classification yields basic information indispensable for meteorological as well as climate studies. Here we propose the use of Himawari-8 data. This satellite has been employed for operational use since July 2015, providing spectral data over 16 channels in visible (VIS), near-infrared (NIR) and thermal infrared (TIR) spectral regions. Also, high temporal resolution is available for both full disk (10 min) and Japanese archipelago (2.5 min). First, we test the traditional approach of the split- window algorithm using bands 15 and 16, centered at 12 and 13 μm, respectively, for the determination of cloud density. The brightness temperature difference (BTD) between two bands are derived on the basis of the Planck formula. The resultant threshold temperatures are 250 and 270 K for the discrimination of high, middle and low-level clouds. The BTD thresholds, on the other hand, are determined to be 5 and 11 K for distinguishing very thin, thin or thick clouds. The verification of cloud classification results will also be discussed.

https://opac.ll.chiba-u.jp/da/curator/107917/

https://opac.ll.chiba-u.jp/da/curator/107917/ceresIntlSympo-24-P854.pdf

Chiba University. Center for Environmental Remote Sensing

千葉大学環境リモートセンシング研究センター

会議発表用資料

Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集

24

854

857

2016-11-21

publisher

環境リモートセンシング研究センター「CEReSシンポジウム資料集」