Coverage‐Limiting Factors Affecting the Monitoring of Urban Emissions With the Orbiting Carbon Observatory Missions
Year: 2025
Type: article
Abstract: A growing number of space‐based platforms, like the Orbiting Carbon Observatory (OCO‐2 and OCO‐3) missions, observe Earth's atmospheric carbon dioxide concentrations with high accuracy and precision. With the original goal of constraining natural fluxes at regional to global scales, these instruments have now become popular tools for studying anthropogenic emissions from cities around the world. As signatories of the Paris Climate Agreement are expected to produce nationally determined contributions (NDC) to global carbon emissions, continued monitoring, reporting, and verification (MRV) of these estimates will be essential. While the use of OCO‐2 and OCO‐3 missions for MRV purposes is increasing, several physical and environmental factors limit data collection. Using the continental United States as a test case, the influences of orbital mechanics and environmental factors on local‐ and national‐level emissions estimates are explored through a series of linear and multi‐linear regressions to predict each instrument's effective revisit time. Results suggest that, due to environmental factors, western regions of the U.S. are more likely to be constrained at a sub‐annual scale than eastern regions, with effective instrument revisit times days. East coast cities have effective revisit times days; however, this varies seasonally. The characteristics of the instruments' orbits also vary the frequency of urban observations in both space and time. Implications for observation‐derived emission estimates at local and national scales and remedies for such shortcomings in future missions are discussed.
Source: AGU Advances
DOI: 10.1029/2024av001630
Authors: Dustin Roten, Abhishek Chatterjee
Institution: Jet Propulsion Laboratory
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,460
Awards: G2676722403, G3648211085, G830101876
OpenAlex ID: W4410923497
