Ozone levels in the earth’s troposphere (the lowest level of our atmosphere) can now be forecasted with accuracy up to two weeks in advance, a remarkable improvement over current systems that can accurately predict ozone levels only three days ahead.
The new artificial intelligence system developed in the University of Houston’s Air Quality Forecasting and Modeling Lab could lead to improved ways to control high ozone problems and even contribute to solutions for climate change issues.
“This was very challenging. Nobody had done this previously. I believe we are the first to try to forecast surface ozone levels two weeks in advance,” said Yunsoo Choi, professor of atmospheric chemistry and AI deep learning at UH’s College of Natural Sciences and Mathematics. The findings are published online in the scientific journal, Scientific Reports-Nature. [Read more…] about Artificial intelligence breakthrough gives longer advance warning of ozone issues