Quantification of regional net CO<sub>2</sub> flux errors in the Orbiting Carbon Observatory-2 (OCO-2) v10 model intercomparison project (MIP) ensemble using airborne measurements

Yun, Jeongmin; Liu, Junjie; Byrne, Brendan; Weir, Brad; Ott, Lesley E.; McKain, Kathryn; Baier, Bianca C.; Gatti, Luciana V.; Biraud, Sebastien C.

doi:https://doi.org/10.5194/acp-25-1725-2025

Articles | Volume 25, issue 3

https://doi.org/10.5194/acp-25-1725-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-1725-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

06 Feb 2025

Research article |

| 06 Feb 2025

Quantification of regional net CO₂ flux errors in the Orbiting Carbon Observatory-2 (OCO-2) v10 model intercomparison project (MIP) ensemble using airborne measurements

Jeongmin Yun, Junjie Liu, Brendan Byrne, Brad Weir, Lesley E. Ott, Kathryn McKain, Bianca C. Baier, Luciana V. Gatti, and Sebastien C. Biraud

Supplement

https://doi.org/10.5194/acp-25-1725-2025-supplement

Data sets

SiB4 Modeled Global 0.5-Degree Hourly Carbon Fluxes and Productivity, 2000-2018 Katherine D. Haynes et al. https://doi.org/10.3334/ORNLDAAC/1847

Development of the adjoint of GEOS-Chem (http://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_Adjoint) Daven K. Henze et al. https://doi.org/10.5194/acp-7-2413-2007

Carbon Monitoring System Carbon Flux Land Prior L4 V3 Junjie Liu and Kevin Bowman https://doi.org/10.5067/1XO0PZEZOR1H

The OCO-2 v10 MIP NOAA/ESRL Global Monitoring Laboratory https://gml.noaa.gov/ccgg/OCO2_v10mip/download.php

ODIAC Fossil Fuel CO2 Emissions Dataset, Version ODIAC2020b Tomohiro Oda and Shamil Maksyutov https://doi.org/10.17595/20170411.001

GEOS-Carb CASA-GFED 3-hourly Ecosystem Exchange Fluxes 0.5 degree x 0.625 degree V3 Lesley Ott https://doi.org/10.5067/VQPRALE26L20

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Short summary

This study quantifies errors in regional net surface–atmosphere CO₂ flux estimates from an inverse model ensemble using airborne CO₂ measurements. Our results show that flux error estimates based on observations significantly exceed those computed from the ensemble spread of flux estimates in regions with high fossil fuel emissions. This finding suggests the presence of systematic biases in the inversion estimates, associated with errors in the fossil fuel emissions common to all models.

Quantification of regional net CO2 flux errors in the Orbiting Carbon Observatory-2 (OCO-2) v10 model intercomparison project (MIP) ensemble using airborne measurements

Supplement

Data sets

Quantification of regional net CO₂ flux errors in the Orbiting Carbon Observatory-2 (OCO-2) v10 model intercomparison project (MIP) ensemble using airborne measurements