Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Recent research demonstrates how machine learning techniques improve the speed and accuracy of wildfire smoke and ethane emission forecasts, which aligns with NOAA’s strategy to use AI for more efficient environmental predictions.
A new AC4-funded study develops a new wildfire smoke tracking and Fire Radiative Power (FRP) estimation tool using weather radar, which can fill in gaps missed by traditional satellite measurements.
A New Tool for Tracking Wildfire Smoke: Weather Radar Read More »
A new fire emissions inventory supported by AC4 provides publicly available data on trace gases and aerosols from global fires for the years 2002 through 2021.
Updated Global Fire Emissions Model Read More »
New modeling study funded by AC4 uses a chemical transport model to evaluate commonly used volatile organic compound (VOC) emissions inventories and compare with observational datasets from the FIREX-AQ and WE-CAN field campaigns.
Using data from the FIREX-AQ field campaign, a new AC4-funded research study develops a comparison between aerosol concentration and the way aerosol particles scatter light in the atmosphere, offering new insights into wildfire smoke evolution.