Simpler models can outperform deep learning at climate prediction
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Aug-2025 04:11 ET (29-Aug-2025 08:11 GMT/UTC)
Simple climate prediction models can outperform deep-learning approaches when predicting future temperature changes, but deep learning has potential for estimating more complex variables like rainfall, according to an MIT study.
New Arizona State University research reveals the extent to which sewage pollution threatens the fragile coral reef ecosystems of West Hawaiʻi Island. The study identifies exactly where sewage-contaminated water is entering the ocean, further damaging coral reefs already impacted by climate change, and endangering human health. The research team used advanced airborne mapping techniques, along with comprehensive field sampling and sophisticated statistical models, to pinpoint locations where high levels of fecal bacteria associated with populated coastal areas are driving worsening contamination. The study provides the critical data needed by government officials and local communities to mitigate this threat and protect the health and biodiversity of coastal ecosystems.
The research highlights how changes in the Northern Westerlies have influenced East Asian summer monsoon precipitation isotope during past abrupt climate events, providing insights into understanding high- and low-latitude teleconnections.
The East Asian summer monsoon (EASM), which sustains the livelihoods of billions of people, is a vast and complex climate system. While its variability during glacial periods has been closely linked to abrupt climate events such as the Dansgaard-Oeschger (DO) events, the role of the Northern Westerlies in modulating EASM moisture transport and isotopic compositions remains poorly understood.
A study in National Science Review reports systematic observations of diazotroph abundance, community structure, and N2 fixation rates in the western North Pacific. Using generalized additive models, the team characterized ecological niches of key cyanobacterial diazotrophs and quantified UCYN-B’s contribution to global N2 fixation. The findings highlight UCYN-B’s pivotal role in marine N₂ fixation and provide new insights into ocean nitrogen cycle and productivity under climate change.
A new study published by researchers at the University of Hawai‘i at Mānoa sheds light on the critical role of iron in Earth’s climate history, revealing how its sources in the South Pacific Ocean have shifted over the past 93 million years. This groundbreaking research, based on the analysis of deep-sea sediment cores, provides crucial insights into the interplay between iron, marine life, and atmospheric carbon dioxide levels.