Scientists could use machine learning to analyze atmospheric samples in order to help identify microbes on frozen moons. They’re testing the concept using bottles of brine and smelly bacteria.
Saima May Sidik
Posted inResearch Spotlights
Los lagos y estanques de Alaska revelan los efectos del derretimiento del permafrost
Un nuevo conjunto de datos proporciona un método poderoso para rastrear fácilmente los cambios en el permafrost.
Posted inResearch Spotlights
Alaska’s Lakes and Ponds Reveal Effects of Permafrost Thaw
A new dataset provides a powerful method for easily tracking changes in permafrost.
Posted inResearch Spotlights
Trees Can Cool Cities, But Only with a Little Help
To get the benefits of trees, city managers must give greenery what it needs to thrive, says new research.
Posted inResearch Spotlights
Cold Days Bring Fast Ice
Thirty-seven years of observations reveal the meteorological conditions that lead to persistent, thick fast ice in Antarctica.
Posted inResearch Spotlights
Radar Reveals Electrical Activity in the Ionosphere
A new method could improve understanding of communication disruptions.
Posted inNews
La falta de datos sobre la calidad del agua es una forma de injusticia ambiental
Hay escasez de información sobre la salud de los lagos en las comunidades marginadas.
Posted inResearch Spotlights
Seemingly Simple Climate Adaptation Strategy Could Backfire
Reflecting sunlight can protect a neighborhood from scorching temperatures, but surrounding neighborhoods could suffer as a result.
Posted inResearch Spotlights
A New View of Deep Earth’s Carbon Emissions
Advances in plate tectonics research allow a deeper understanding of how greenhouse gases escape from within the planet.