The accurate forecasting of Tropical Cyclones (TCs) includes the most likely future path and intensity change. Although minimal improvement in intensity forecasts has been observed (Rappaport et al., 2009) compared with track forecasting, there has been a notable decrease in the intensity forecast error and an increase in intensity forecast skill (Cangialosi et al., 2020, Figure 3) over the past 2 decades. One of the difficulties of accurate forecasting is the lack of observations with adequate spatial and temporal resolution (Demaria et al., 2012), especially near the storm center, because of the shortage of aircraft-based in situ and radar observation. Fortunately, lightning can add substantial value to the short-term TC intensity forecasts, as shown in DeMaria et al. (2012) and Black and Hallett (1986). The Worldwide Lightning Location Network (WWLLN) has provided continuous observations of lightning activity in TCs Worldwide (Rodger et al., 2005). The excellent performance of the WWLLN has been verified against the Tropical Rainfall Measuring Mission Lightning Imaging Sensor dataset (Virts et al., 2013). Price et al. (2009) believed that lightning data from these detection networks may contribute to better forecasts of TC intensification in the future. Positive relationships between the inner-core (or eyewall) lightning outbreaks and TC intensification (e.g.,