Articles | Volume 10, issue 5
Atmos. Meas. Tech., 10, 1859–1874, 2017
https://doi.org/10.5194/amt-10-1859-2017
Atmos. Meas. Tech., 10, 1859–1874, 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 et al.

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Latest update: 28 Sep 2022
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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.