Researchers unlock new tool to study river temperatures over large scales
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Oct-2026 11:16 ET (21-Oct-2026 15:16 GMT/UTC)
A team of Virginia Tech geoscientists found a new way to look at the widespread impacts of dams on river temperatures: using Landsat thermal infrared imagery to gather data on rivers across the United States. By using satellite imagery instead of site-specific on-the-ground measurements, researchers can draw from a much larger pool of data.
Existing computer models used to guide decisions about energy infrastructure and contamination often treat microbes as fixed and unchanging, even though they constantly adapt to their surroundings. University of Maine researchers are aiming to close the gap by analyzing microbial genetic information using artificial intelligence to identify the biological processes that most strongly influence underground chemical reactions. Those insights will then be integrated into existing subsurface models, allowing scientists to better simulate how microbes, minerals and groundwater interact in changing environments.
A Yale-led research team has proposed a less expensive — and more environmentally friendly — method for removing certain “forever chemicals” from millions of acres of farmland in the United States and around the world.
The new process, which is based on data from agricultural sites in Maine. They say it has the potential to address two connected environmental challenges: remediating per- and polyfluoroalkyl substances (PFAS) that have contaminated agricultural land for decades and scaling up the use of enhanced weathering to remove carbon dioxide from the atmosphere.
Just as important, the new approach allows previously contaminated cropland to once again be used for an agricultural purpose — unlike current remediation methods.
“There is an obvious need for new tools to help farmers affected by ‘forever chemicals’ contamination,” said Noah Planavsky, a professor of Earth and planetary science in Yale’s Faculty of Arts and Sciences and the son and brother of farmers. He is also a faculty member of the Yale Center for Natural Carbon Capture and principal investigator for a new study published in the journal Proceedings of the National Academy of Scienceswhich describes the new method.
New research found that the century-old yardstick used across many industries to estimate air-conditioning and refrigeration energy demand — called cooling degree days — is missing something fundamental. The study reports a new, physics-based version of the metric — effective cooling degree days — that captures how temperature and humidity together impact the actual work a cooling system is required to do. Applying it across North America, they found that cooling efficiency has been quietly declining by 2–4% per decade since 1971, and that the old temperature-only metric misjudges how much cooling is required in different regions, overstating demand in some places and understating it in others.