Preprints
https://doi.org/10.5194/egusphere-2023-1347
https://doi.org/10.5194/egusphere-2023-1347
30 Aug 2023
 | 30 Aug 2023

Direct Estimation of Global Anthropogenic CO2 Emissions Using Satellite Data

Jia He and Bo Huang

Abstract. Reliable statistics on anthropogenic CO2 emissions are fundamental for carbon cycle and climate change research. Satellite observations offer a potential objective and efficient alternative to the current self-reporting mechanism. However, the current satellite projects provide only column-averaged CO2 amount (XCO2) data. This paper proposes a direct estimation method based on satellite-based CO2 column amount, different from the conventional “top-down” approaches, which usually adopt satellite-observed data as an indicator to disaggregate consumption statistics. Here, the monthly CO2 emissions from 2010 to 2019 are estimated globally using CO2 data retrieved from the Greenhouse Gases Observing Satellite. The geographically and temporally weighted regression model is adopted to account for local spatial and temporal variability. The enhanced XCO2 data and the local wind speed, vertical velocity, air temperature, water vapor concentration, and fire emissions are included in the estimation process. The validation results of the newly derived CO2 emissions strongly agree with the Open-source Data Inventory for Anthropogenic CO2 data (R2 = 0.929). This high global consistency demonstrates the great potential of direct estimation from satellites, with improved frequency and a broader coverage range.

Jia He and Bo Huang

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1347', Anonymous Referee #1, 20 Sep 2023
  • RC2: 'Comment on egusphere-2023-1347', Tomohiro Oda, 14 Oct 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1347', Anonymous Referee #1, 20 Sep 2023
  • RC2: 'Comment on egusphere-2023-1347', Tomohiro Oda, 14 Oct 2023
Jia He and Bo Huang
Jia He and Bo Huang

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Short summary
A feasible method to accurately estimate CO2 emissions from satellite-derived column amounts of CO2 was proposed in this study. The GTWR model is adopted for CO2 estimation for the first time to account for its local spatial and temporal variability. The monthly CO2 emissions from 2010 to 2019 are estimated globally using the enhanced XCO2 from the GOSAT. The newly derived anthropogenic CO2 emission dataset reveals the variation trend of CO2 emission on the global scale.