SEED-GRANT: Sensing CO2 Domes for Adaptive Management of Urban Greenhouse Gas Emissions
Urbanized regions are responsible for a disproportionately large percentage (30-40%) of global anthropogenic greenhouse gas emissions. While a growing number of studies have addressed urban and suburban CO2 fluxes, current experimental techniques are not robust with respect to policy or scientific objectives. Thus, researchers explored a novel technique for surface flux partitioning based on coupled atmospheric models and continuous sensor-network observation of ambient CO2 and carbonyl sulfide.
The goal of the project was to create proof of concept results and a science plan for developing, deploying, and assessing a new COS sensor and atmospheric modeling strategy for the application of greenhouse gas emissions measurement at the city scale. Researchers initiated the implementation of a unique top-down constraint on an urban GHG budget using the simultaneous analysis of atmospheric CO2 and carbonyl sulfide.