Performance of Airborne Imaging Spectrometers for Carbon Dioxide Detection and Emission Quantification

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Jinsol Kim, Daniel H. Cusworth, Alana K. Ayasse, Katherine Howell, Kelly O’Neill, Riley M. Duren
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Abstract

Carbon dioxide (CO2) emissions from strong point sources account for a significant proportion of the global greenhouse gas emissions, and their associated uncertainties in bottom-up estimates remain substantial. Imaging spectrometers provide a capability to monitor large point source CO2 emissions and help reduce the uncertainties. In this study, we assess the capability of an airborne monitoring system with temporally sparse observations to constrain annual emissions at both facility and regional scales. We use observations of power plant emissions from 2022 to 2023 and compare the derived emission rates at facility scale to in stack emission observations across the United States. We show that CO2 concentration enhancements retrieved using a lognormal matched filter are suitable for CO2 quantification, achieving low bias and uncertainty in estimated emission rates. We find that annual emissions at the regional scale can be effectively constrained by offsetting errors identified at the facility scale, with a 30% uncertainty.

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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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