An international study reveals that the unprecedented heat stress of 2023–2024 will likely recur in the coming decades unless emissions are reduced. The Amazon is the most vulnerable region.
Forest expansion and thickening after British colonization has created landscapes more prone to burning, amplifying the influence of climate change and propelling Australia’s bushfire crisis, a new study has found.
El Niño and warming in the tropical Atlantic could help provide advance warning of extreme heat in the Amazon, with some signals appearing as much as seven months earlier, research has found.
An interpretable model is one that can be verified, discussed, and challenged. This is the prerequisite for AI to become a legitimate tool in water management.
To produce predictions, generative AI models must be primed with existing information called training data, making predictions based on patterns observed in previous data sets.
Seventy-three years after the magnitude 9.0 earthquake of 1952 in the same region, Kamchatka has reminded us that it is one of the most efficient tsunami sources in the Pacific.
Team at Utrecht University developed a method to classify groundwater systems based on their ability to recover from long drought to better determine how groundwater systems recover after a drought and which groundwater reserves are most vulnerable.
Research published in the Journal of Experimental Botany reveals that wheat crops are more sensitive to grain yield losses from heat waves that occur before reaching their flowering stage than those occurring later.
