Fig. 6 | npj Climate and Atmospheric Science

Fig. 6

From: Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

Fig. 6

The contribution of individual variables to the first and second principle components from 2006 to 2017 for a Zurich station (as an example of Group A) and b Säntis station (as an example of Group B). In each subplot, the horizontal axis is the coefficients for PC1 and vertical axis is coefficients for PC2. The corresponding lead-time range is 0–10 min

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