Articles | Volume 10, issue 5
https://doi.org/10.5194/amt-10-1859-2017
https://doi.org/10.5194/amt-10-1859-2017
Research article
 | 
24 May 2017
Research article |  | 24 May 2017

Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data

Sanggyun Lee, Hyangsun Han, Jungho Im, Eunna Jang, and Myong-In Lee

Viewed

Total article views: 3,480 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,925 1,460 95 3,480 105 101
  • HTML: 1,925
  • PDF: 1,460
  • XML: 95
  • Total: 3,480
  • BibTeX: 105
  • EndNote: 101
Views and downloads (calculated since 01 Nov 2016)
Cumulative views and downloads (calculated since 01 Nov 2016)

Viewed (geographical distribution)

Total article views: 3,480 (including HTML, PDF, and XML) Thereof 3,372 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Mar 2024
Download
Short summary
Deterministic and probabilistic CI detection models based on decision trees (DT), random forest (RF), and logistic regression (LR) were developed using Himawari-8 AHI data obtained over the Korean Peninsula. We used a total of 12 interest fields including time trends to develop the models. We identified contributing variables for CI detection. DT showed a higher hit rate, while RF produced a higher critical success index. The mean lead times by the four models were in the range of 20–40 min.