Better models of atmospheric ‘detergent’ can help predict climate change
New research from Rochester scientist Lee Murray will aid in building more accurate computer models of the hydroxyl radical, an important ‘detergent of the atmosphere.’
Cleaner air a ‘short-term’ silver lining of COVID-19
Environmental scientist Lee Murray tells City Newspaper that the area’s nitrogen dioxide concentrations in March were 30 percent lower than in March 2019. But the benefit won’t last, he says.
Ice core data confirms increased tropospheric ozone levels since industrialization
The findings suggest good news about the reliability of the computer models used to estimate and predict the changes in ground-level ozone.
Ancient ozone levels provide a glimpse into future effects of climate change
A computer model developed at Rochester, and used to compare model data to analysis on 100,000-year-old Greenland ice cores, has shown a surprising result.
Using data science to understand global climate systems
Climate scientists and computer scientists are working together to understand what drives the global climate system—from deep in the ocean to high in the sky.