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Environment

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

Aaron Sonabend-W, et al.

Featured May 30, 2026

Original Paper

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Simply

A smart computer model uses a weather satellite's pictures and other data to create detailed, frequent maps of carbon dioxide in the air, helping scientists see how CO₂ changes over time and places.

In depth
The paper introduces DeepXCO2, a novel single-pixel, physics-guided neural network that quantifies dry-air column CO₂ mole fraction (XCO₂) using data from the Geostationary Operational Environmental Satellite (GOES-East), a mission not originally designed for CO₂ monitoring. This two-stage residual architecture leverages GOES-East's high spatial and temporal resolution by fusing its 16 spectral bands with meteorological and surface data, enabling the observation of CO₂ variability at scales previously unseen from space.

Key Takeaways

  • 1
    The study demonstrates the feasibility of using GOES-East ABI data, originally for weather, to accurately estimate atmospheric XCO₂ by integrating it with other environmental datasets.
  • 2
    A two-stage residual neural network architecture is introduced, which effectively decouples predictable large-scale CO₂ patterns from dynamic, localized atmospheric signals, enhancing model interpretability and physical grounding.
  • 3
    The DeepXCO2 model provides unprecedented contiguous geographic coverage and 10-minute temporal frequency, enabling the observation of fine-scale CO₂ variability over urban and agricultural areas, augmenting sparse observations from dedicated CO₂ satellites.

Conceptual Flow

HIGH LEVEL
1
Methodology: How DeepXCO₂ Works

The system uses a two-step computer brain: first, it guesses the basic CO₂ from location and time, then it adds details from satellite pictures and weather to get the final CO₂ map.

Location & Time
Satellite Images
Weather Data
Surface Data
Learn Patterns & Changes
Detailed CO2 Map
2
Results: Unprecedented CO₂ Monitoring

By using a weather satellite, the system can show CO₂ changes every 10 minutes across a huge area, revealing patterns that were previously hidden.

Old CO2 Maps (Sparse)
New CO2 Maps (Dense)
Compare Coverage & Frequency
More CO2 Details Seen