Smoke from African agricultural fires brightens clouds over the southeast Atlantic—but new research from scientists at the University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science shows that the same weather pattern carrying the smoke also thins and reduces cloud cover, effectively offsetting its cooling effect.

Extreme heat is affecting the everyday lives of most Americans, according to a new Annenberg survey which finds that two-thirds of the public say climate change is increasing the risk of respiratory diseases and heat- and insect-related illnesses.

Multi-source observations improve thunderstorm gust identification

The global water cycle is becoming increasingly unbalanced. Extreme droughts and floods are the result. This is shown in this year's report by the World Meteorological Organization on the state of global water resources, "State of Global Water Resources 2025," which was published today. "The total volume of water stored on the continents is steadily decreasing," said Professor Robert Reinecke of the Department of Geography at Johannes Gutenberg University Mainz, who has played a key role in compiling the report, which has been published annually since 2022, from the very beginning.

Plasma bubbles in the ionosphere over equatorial and low-latitude regions are a common nighttime plasma density depletion structure that can cause severe scintillation interference on high-frequency communications, making them an important target of space weather monitoring. Traditional detection methods rely on statistical thresholds derived from temporal fluctuations in ion density; however, plasma bubbles exhibit significant variability in spatiotemporal scales (ranging from kilometers to hundreds of kilometers), and their occurrence frequency is strongly modulated by solar activity and seasonal factors. Consequently, fixed-threshold methods struggle to accommodate this diversity, with miss rates reaching up to 40% during periods of low solar activity. Although deep learning has demonstrated powerful capabilities in automatically extracting and recognizing complex waveform features in fields such as medical image segmentation and signal peak detection, its systematic application to ionospheric plasma bubble detection—and thus addressing the adaptability deficiencies of traditional threshold methods—remains underexplored.