A new method for studying hailstorms from space offers more consistent and more complete views of how and where hail forms, and how climate change might influence hail’s impacts in the future.
Cuando una granizada intensa golpeó la capital de México la semana pasada, los ciudadanos se empezaron a preguntar si el cambio climático podría ser la causa. Pero, ¿es esa la pregunta que nos debemos hacer?
When a severe hailstorm hit Mexico’s capital last week, citizens began to wonder whether climate change could be the cause. But is that the right question to ask?
Altitude-resolved S-band radar observations of graupel are used to decipher thunderstorm ground enhancements in surface electric field and gamma ray flux.
Globally relevant and locally devastating, hailstorms produce significant societal impacts; despite this, our understanding of hailstorms and our ability to predict them is still limited.
As the climate warms across Europe, a rise in severe thunderstorms could bring a dramatic increase in related hazards, including lightning and hailstones.
Lightning, fire vortices, and black hail are some of the frightening features of fire-fueled storms, which may become more common in the future.
Machine learning technology helps scientists recognize severe weather patterns.
The icy weather phenomenon leads to more than $10 billion in damages each year. Nonetheless, research on hail is lacking, scientists say.
A study of extreme weather in South America shows seasonal and spatial patterns, which, if better understood, could help save lives and minimize damage to property.