Quantifying CO2 Emissions from Smaller Point Sources by Using Multiple OCO-3 Images

Jon-Paul Mastrogiacomo,  University of Waterloo,  jdcmastrogiacomo@uwaterloo.ca (Presenter)
Ray Nassar,  Environment and Climate Change Canada,  ray.nassar@canada.ca
Tim Hill,  University of Waterloo,  timothy.gordon.hill@gmail.com
Ryan Pavlick,  Jet Propulsion Laboratory,  rpavlick@jpl.nasa.gov
Robert Nelson,  Jet Propulsion Laboratory,  robert.r.nelson@jpl.nasa.gov
Christopher O'Dell,  Colorado State University,  odell@atmos.colostate.edu
Annmarie Eldering,  Jet Propulsion Laboratory / Caltech,  annmarie.eldering@jpl.nasa.gov
David Crisp,  JPL/Caltech,  david.crisp@jpl.nasa.gov

The ability to monitor anthropogenic CO2 emissions from space is crucial to support policy efforts to reduce emissions. NASA’s Orbiting Carbon Observatory 3 (OCO-3) has the new capability of collecting Snapshot Area Maps (SAMs), which enable effective CO2 emission estimation for large point sources. However, numerous other sources remain beyond the limit of a single SAM for effective emission quantification. In this work, we build on earlier theoretical research that explored combining XCO2 images, by overlaying multiple SAMs. The SAMs are rotated, interpolated onto a regular grid, and averaged. This process accentuates the plume and offers a higher effective spatial resolution than any individual overpass. It allows for top-down emissions estimates of smaller point sources (<7 MtCO2/yr) where they were otherwise not possible and demonstrates the advantage of the frequent revisit rate and wide-view imaging of the OCO-3 SAM mode.

Poster: Poster_Mastrogiacomo__99_25.pdf 

Presentation Type: Poster

Session: 4.2c Observations to quantify hot spots and local/urban emissions

Session Date: Thursday (6/17) 10:00 AM