Greenhouse gas concentrations in the Northeast United States are measured using instrument-equipped aircraft and a high-accuracy tower network installed around the region and focused on urban areas.
To estimate greenhouse gas emissions, atmospheric observations of CO2 and CH4 are coupled with atmospheric transport, dispersion models and statistical analysis methods: inversions. The effects of transport models, background estimation, and biosphere fluxes on the resulting emission estimates are being investigated with algorithms being developed to incorporate more realistic error structures into the inverse analysis. This all helps to provide a more accurate picture of urban emissions.