CSU machine learning model helps forecasters improve confidence in storm prediction
The model can make accurate predictions of events like tornadoes and hail four to eight days in advance.
The model can make accurate predictions of events like tornadoes and hail four to eight days in advance.
A new study by Elizabeth Barnes in the Department of Atmospheric Science uses artificial intelligence to show that global warming is on track to reach 1.5 degrees Celsius above pre-industrial averages in the early 2030s.
Civil and environmental engineering professor Neil Grigg answered some questions about what the proposal means and how it sets the stage for future negotiations.
Smith’s group will work to improve understanding of both subsidence and fault movement, improving the models scientists use to study seismic activity.
As division director, Maciejewski will play a central role in facilitating transformative research to drive innovation and solve complex social, economic and environmental problems.
The study entailed critical evaluation of the U.K.’s current method of calculating methane emissions, and suggested alternative, peer-review based methods and generating revised emission estimates.
The researchers will test their hypothesis with the support of a Dynamic Imaging Grant from the Chan Zuckerberg Initiative.
Electrical and Computer Engineering Professor Branislav Notaros has been elected 2024 president of the Institute of Electrical and Electronics Engineers Antennas and Propagation Society
CSU researchers are leading a study determining how accurately they can detect a tibia fracture's healing progress by measuring the mechanical stiffness of the bone.
The Water Technology Acceleration Platform (Water TAP) lab in the Hydro building at CSU Spur will test innovative solutions to clean and reuse humanity's most precious resource.