El Niño-Southern Oscillation (ENSO)

Until now, scientists have not been able to predict warming of the ocean surface in the South Atlantic Ocean. But now, by using artificial intelligence they show that El Niño phenomenon in the region can be predicted up to 3 to 4 months ahead.

Evidence from Ecuador suggests that natural disasters have important but short-lived impacts on production and market conditions in developing countries that vary depending on firm differences in efficiency.

Every few years, the tropical eastern Pacific Ocean seesaws between warm (El Niño) and cold (La Niña) phases. In recent decades, these climate patterns are lingering more often than ever before, which is amplifying their destructive potential.

New research led by CMCC researcher Marie-Lou Bachèlery, harnesses the power of artificial intelligence (AI) to predict extreme Atlantic Niño and Benguela Niño events up to 3 months in advance.

The report assesses the impact of early warning systems on mitigating drought and heatwave effects in Kurigram, Bangladesh.

The focus of this article is multidisciplinary and multifaceted: it involves connecting an earliest warning indicator associated with the Oceanic Niño Index

While this particular warm January isn't necessarily cause for immediate alarm, it suggests natural cooling phases may become less effective at temporarily offsetting the impact of rising greenhouse gas levels on global temperatures

Three recent studies reveal how the interplay between El Niño and long-term global warming drove the record-breaking global temperatures of 2023.

It reveals that a probable wet end to summer over most areas of Australia, according to the Bureau of Meteorology’s outlook-the best information source, as they encapsulate lots of climate information and don’t just focus on one climate driver.

From Malawi to Namibia, drought has decimated southern African farms, with millions going hungry and the risk of floods in 2025.