Affiliation:
1. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA
2. Department of Atmospheric Sciences University of Utah Salt Lake City UT USA
3. Climate and Space Sciences and Engineering University of Michigan Ann Arbor MI USA
Abstract
AbstractThe concentration of carbon dioxide (CO2) in Earth's atmosphere is increasing due to human activities and the resulting effects on the global climate system have initiated several policy‐driven approaches to reduce emissions of this greenhouse gas. Quantifying the effectiveness of such policies requires both bottom‐up and top‐down approaches to estimate CO2 emissions. This work investigates, for the first time, the potential of using Snapshot Area Map observations from NASA's OCO‐3 instrument to disaggregate sector‐specific emissions from instrument observations. Optimized sector‐specific timeseries were produced using Bayesian inversion techniques and compared to proxy activity data from transportation, commercial maritime, and industrial sectors in the Los Angeles Basin. Results demonstrate that dense space‐based observations of atmospheric CO2 are capable of disentangling sector‐specific CO2 fluxes, paving the way for accurate monitoring of the effects of carbon‐reduction policies and operational carbon monitoring systems.
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics