5 papers
Quantifying AI data center nitrogen oxide (NO) emissions from space
Kevin D. Gauld, Daniel J. Varon, Nicholas Balasus +1
AI data center power demand is spurring rapid deployment of on- and near-site natural gas turbines. Nitrogen oxide (NO) pollution from this equipment is a growing concern but h…
Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing
Manuel Pérez-Carrasco, Maya Nasr, Zhan Zhang +16
Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learn…
Mapping ammonia emission plumes using shortwave infrared imaging spectroscopy
Nicholas Balasus, Daniel H. Cusworth, Jinsol Kim +3
Atmospheric ammonia emissions are harmful to ecosystems and human health. These emissions have traditionally been monitored using thermal infrared spectrometers, though such techni…
Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data
Xiaolin Wang, Daniel J. Jacob, Hannah Nesser +8
Urban areas are major sources of methane due to population needs for landfills, natural gas distribution, wastewater treatment, and residential combustion. Here we apply an inversi…
Satellite monitoring of annual US landfill methane emissions and trends
Nicholas Balasus, Daniel J. Jacob, Gabriel Maxemin +7
We use satellite observations of atmospheric methane from the TROPOMI instrument to estimate total annual methane emissions for 2019-2023 from four large Southeast US landfills wit…