Thunderstorms Can Be Heard in Advance: The Ocean Hints When Lightning Will Strike

Original: "Seasonal Predictability of Lightning over the Global Hotspot Regions"
arXiv:2110.03956 · 2021-10-08 · CC BY 4.0 · 1 min
Lightning over the planet's hot spots can be predicted a season ahead, based on slow global indices like El Niño.

Lightning strikes fast and without warning. But if you look not at individual flashes but at an entire season, a slow oceanic rhythm emerges in the storms. For 17 years, satellites recorded lightning over India, North America, and Africa. It turns out that the number of lightning strikes in a season is linked to what happens in distant oceans.

The ocean acts like a giant battery: it slowly stores heat and then releases it to the air. The warm El Niño current and the cold La Niña change wind and moisture patterns across the globe. So in some years, eastern India sees more lightning, and in others, less. Scientists have found that ocean temperatures can predict how many lightning strikes will occur several months ahead, with accuracy nearly as good as for rainfall.

It used to seem that lightning was too chaotic for long-term forecasting. Now it's clear: when you average flashes over a season, they follow the same slow ocean currents as precipitation.

This means weather services could warn of thunderstorm danger in advance, just as they already do for rain. Farmers, pilots, and energy companies would gain time to prepare. Lightning remains instantaneous, but its seasonal echo travels from distant oceans. And if we learn to listen to that echo, we can hear the storm long before the first thunderclap.

In India, lightning kills more people than cyclones and floods combined, and this share is growing every year.

In Ray Bradbury's story 'A Sound of Thunder', a change in the distant past leads to unpredictable consequences in the present. Here it is the opposite: distant slow processes in the ocean help predict local thunderstorms.

FL = C_0 + C_1 \cdot Nino1+2 + C_2 \cdot Nino3 + C_3 \cdot Nino3.4 + C_4 \cdot Nino4 + C_5 \cdot NAO + C_6 \cdot AMO + C_7 \cdot PDO + C_8 \cdot ET
FL is the number of lightning flashes, C are regression coefficients, and the indices are global climate predictors.
Concepts
forecast seasonal cycle forecasting El Niño interannual variability seasonal forcing probabilistic forecast monsoon spring predictability barrier solar flare prediction lead time precipitation Westerly wind burst climate drought monsoon onset IRI equatorial wave propagation La Niña tropical cyclone