Researchers funded in part by AC4 have developed a fire prediction model which incorporates multiple machine learning algorithms to better predict areas burned by wildfire in the US south central region.
The Los Angeles Basin is often thought of as a dry, smoggy, overdeveloped landscape. But a new study funded in part by CPO's Atmospheric Chemistry, Carbon Cycle, and Climate Program shows that the manicured lawns, emerald golf courses and trees of America’s second-largest city have a surprisingly large influence on the city’s carbon emissions.
Atmospheric scientists, funded in part by CPO’s Atmospheric Chemistry, Carbon Cycle and Climate (AC4) program, developed an improved method to represent the removal of aerosols from the atmosphere in climate and air quality models.
“From using machine learning to develop critical atmospheric datasets to creating an experimental system for rapidly assessing causes of extreme events, these new awards will expedite climate science discoveries and build the library of resilience solutions needed to protect all sectors of our economy and environment.”
Called Frontiers in Atmospheric Chemistry, this high profile virtual seminar series will take place “live” on Zoom webinars on Fridays at 10am Pacific / 1pm Eastern over the 2020-2021 academic year.
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.