Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East)

arXiv:2605.23991v1 Announce Type: cross Abstract: There is a growing urgency to track greenhouse gasses with the resolution, precision and accuracy needed to support independent verification of $CO_2$ fluxes at local to global scales. The current generation of space-based sensors, however, only provides sparse observations in space and time. This challenge has fueled interest in the potential use of data from existing missions originally developed for other applications for inferring global greenhouse gas variability. The Advanced Baseline Imager (ABI) onboard the Geostationary Operational Env
The increasing urgency to track greenhouse gases and the limitations of current space-based sensors are driving innovation in leveraging existing satellite infrastructure like GOES East for climate monitoring.
Accurate, high-resolution global CO2 tracking is critical for independent verification of climate policies and for understanding the true scale of atmospheric changes, impacting energy, agriculture, and geopolitical stability.
The ability to utilize existing geostationary satellites for CO2 quantification opens up new, cost-effective avenues for continuous and high-resolution atmospheric monitoring, improving data density significantly.
- · Climate scientists
- · Environmental monitoring agencies
- · Governments implementing carbon policies
- · AI/ML companies specializing in remote sensing
- · Sectors reliant on opaque carbon emissions
- · Traditional, sparse observation methods
Improved monitoring of atmospheric CO2 concentrations will provide more granular data for climate models and policy formulation.
Enhanced CO2 monitoring could lead to more stringent international carbon emission verification protocols and potentially new carbon markets.
The proliferation of more accurate climate data may accelerate public and private sector investments in decarbonization technologies and climate adaptation strategies.
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