Soil conditions significantly increase rainfall in world’s megastorm hotspots
Peer-Reviewed Publication
Updates every hour. Last Updated: 12-May-2025 03:10 ET (12-May-2025 07:10 GMT/UTC)
Storm forecasting is traditionally based on studying atmospheric conditions but ground-breaking research that also looks at land surface conditions is set to transform early warning systems in tropical regions. This will enable communities to better adapt to the destructive impacts of climate change.
The new study led by the UK Centre for Ecology & Hydrology (UKCEH) has shown that a large contrast in soil moisture levels over a range of hundreds of kilometres results in atmospheric changes that increase rainfall area and amount in several megastorm hotspots globally. This increase ranges from 10 to 30% depending on the region and size of the storm.
An international study led by the University of Eastern Finland and the Finnish Meteorological Institute has demonstrated that the formation and properties of lower-atmosphere clouds are highly sensitive to changes in atmospheric aerosol concentrations. This finding is significant as it impacts the assessment of how much human-induced fine particles have slowed down climate warming caused by greenhouse gases. The study was published in the prestigious Nature Geoscience journal.
A groundbreaking new artificial intelligence (AI) model developed by Israeli researchers promises to revolutionize wildfire prediction, with a particular focus on lightning-induced blazes that are growing increasingly common due to climate change. The new AI model can predict where and when lightning strikes are most likely to cause wildfires, achieving over 90% accuracy—a first in wildfire forecasting.
As global temperatures warm, the Southern Ocean – between Antarctica and other continents – will eventually release heat absorbed from the atmosphere, leading to projected long-term increases in precipitation over East Asia and the Western U.S., regardless of climate mitigation efforts.