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New artificial intelligence system could lead to improved ways to control high ozone problems 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.

Alqamah sayeedYunsoo choiEmily hendersonModeling labUniversity of houston air quality forecastingCollege of natural sciencesUniversity of houstonAir quality forecastingAtmospheric chemistryNatural sciencesஎமிலி ஹென்டர்சன்மாடலிங் ஆய்வகம்கல்லூரி ஆஃப் இயற்கை அறிவியல்பல்கலைக்கழகம் ஆஃப் ஹூஸ்டன்அேக தரம் முன்னறிவிப்புவளிமண்டலம் வேதியியல்