Department Seminar: Chi Li
Title: Advances in characterizing air pollution from modeling, observations, and machine learning
Title: Advances in characterizing air pollution from modeling, observations, and machine learning
Title: Using Earth System Models to isolate the climate response to different anthropogenic forcing agents in the context of Arctic climate change
Last June we shared a Commitment to Action in support of Black Lives Matter. More than a statement of solidarity or simply a performative measure, we created this living document as an action plan with embedded accountability.
UCI-led team tracked global land-use greenhouse gas emissions from 1961 to 2017
A recent study from researchers at UC Irvine and Global Energy Monitor found that replacing aging coal plants with new gas plants that could operate for 30 years or longer — as America has done in recent years — might reduce long-term carbon emissions by just 12%.
NASA’s LANCE data system, which makes enormous amounts of satellite information available to scientists around the world almost as soon as it's collected, is powerful.
How powerful?
The greenhouse gas reductions highlight the difficult road ahead to substantially limit global warming