Lightning is one of the most powerful, all-pervasive atmospheric hazards. Lightning fatalities over India (Mahapatra et al., 2018; Accidental Deaths and Suicides in India (ADSI) Report, Govt. of India) result in severe societal and economic consequences as lightning affects aviation, telecommunication, agriculture, electricity, and many more sectors. Keeping in mind the lifetime injuries, physiological trauma, disabilities that are caused by lightning (e.g., Mahapatra et al., 2018;Singh and Singh, 2015), an accurate or better formulation of predicting lightning activities is of utmost significance. The major question asked here is whether the global hotspots of lightning activities across the globe are associated with the remote forcing for example, El Niño and Southern oscillation (ENSO), Pacific decadal oscillation (PDO), North Atlantic oscillation (NAO), Atlantic multidecadal oscillation (AMO), and extra tropics (ET).The seasonal forecasting of hail and tornado occurrence, which are the severe weather phenomena associated with the deep convective systems are examined over the United States of America (Elsner & Widen, 2014;Wu et al., 2011). Lightning activity is also a typical phenomenon of severe weather characterized by strong convection (van den Broeke et al., 2005), where instability, strong vertical updraft, wind shear, and availability of moisture are the primary conditions. The higher predictability of tropical climate than extra tropics was laid