Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO2 Over North America on Seasonal and Sub-Continental Scales

Yu Yan Cui; Li Zhang; Andrew R. Jacobson; Matthew S. Johnson; Sajeev Philip; David Baker; Frederic Chevallier; Andrew E. Schuh; Junjie Liu; Sean Crowell; Hélène E. Peiro; Feng Deng; Sourish Basu; Kenneth J. Davis

doi:10.1029/2022GL100147

Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO₂ Over North America on Seasonal and Sub-Continental Scales

Yu Yan Cui, Li Zhang, Andrew R. Jacobson, Matthew S. Johnson, Sajeev Philip, David Baker, Frederic Chevallier, Andrew E. Schuh, Junjie Liu, Sean Crowell, Hélène E. Peiro, Feng Deng, Sourish Basu, Kenneth J. Davis

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Atmospheric inversion estimates of net ecosystem exchange (NEE) of CO₂ are increasingly relevant to climate policy. We evaluated sub-continental, seasonal estimates of CO₂ NEE from nine global inversion systems that participated in the Orbiting Carbon Observatory-2 model intercomparison project (OCO-2 v9 MIP), using 98 research flights conducted over the central and eastern United States from 2016 to 2018 as part of the Atmospheric Carbon and Transport - America mission. We found that the seasonal amplitude of NEE in the central and eastern United States is underestimated in these models and model-data biases are largest for those inversions with the smallest seasonal flux amplitudes. These results were independent of whether the inversions used satellite or in situ data. The largest NEE biases were observed in the Midwest croplands and eastern forests. Future experiments are needed to determine the causes of the persistent biases and if they are associated with biases in annual flux estimates.

Original language	English (US)
Article number	e2022GL100147
Journal	Geophysical Research Letters
Volume	49
Issue number	18
DOIs	https://doi.org/10.1029/2022GL100147
State	Published - Sep 28 2022

All Science Journal Classification (ASJC) codes

Geophysics
General Earth and Planetary Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1029/2022GL100147

Cite this

Cui, Y. Y., Zhang, L., Jacobson, A. R., Johnson, M. S., Philip, S., Baker, D., Chevallier, F., Schuh, A. E., Liu, J., Crowell, S., Peiro, H. E., Deng, F., Basu, S., & Davis, K. J. (2022). Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO₂ Over North America on Seasonal and Sub-Continental Scales. Geophysical Research Letters, 49(18), Article e2022GL100147. https://doi.org/10.1029/2022GL100147

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title = "Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO2 Over North America on Seasonal and Sub-Continental Scales",

abstract = "Atmospheric inversion estimates of net ecosystem exchange (NEE) of CO2 are increasingly relevant to climate policy. We evaluated sub-continental, seasonal estimates of CO2 NEE from nine global inversion systems that participated in the Orbiting Carbon Observatory-2 model intercomparison project (OCO-2 v9 MIP), using 98 research flights conducted over the central and eastern United States from 2016 to 2018 as part of the Atmospheric Carbon and Transport - America mission. We found that the seasonal amplitude of NEE in the central and eastern United States is underestimated in these models and model-data biases are largest for those inversions with the smallest seasonal flux amplitudes. These results were independent of whether the inversions used satellite or in situ data. The largest NEE biases were observed in the Midwest croplands and eastern forests. Future experiments are needed to determine the causes of the persistent biases and if they are associated with biases in annual flux estimates.",

author = "Cui, {Yu Yan} and Li Zhang and Jacobson, {Andrew R.} and Johnson, {Matthew S.} and Sajeev Philip and David Baker and Frederic Chevallier and Schuh, {Andrew E.} and Junjie Liu and Sean Crowell and Peiro, {H{\'e}l{\`e}ne E.} and Feng Deng and Sourish Basu and Davis, {Kenneth J.}",

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Cui, YY, Zhang, L, Jacobson, AR, Johnson, MS, Philip, S, Baker, D, Chevallier, F, Schuh, AE, Liu, J, Crowell, S, Peiro, HE, Deng, F, Basu, S & Davis, KJ 2022, 'Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO₂ Over North America on Seasonal and Sub-Continental Scales', Geophysical Research Letters, vol. 49, no. 18, e2022GL100147. https://doi.org/10.1029/2022GL100147

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AU - Cui, Yu Yan

AU - Zhang, Li

AU - Jacobson, Andrew R.

AU - Johnson, Matthew S.

AU - Philip, Sajeev

AU - Baker, David

AU - Chevallier, Frederic

AU - Schuh, Andrew E.

AU - Liu, Junjie

AU - Crowell, Sean

AU - Peiro, Hélène E.

AU - Deng, Feng

AU - Basu, Sourish

AU - Davis, Kenneth J.

PY - 2022/9/28

Y1 - 2022/9/28

N2 - Atmospheric inversion estimates of net ecosystem exchange (NEE) of CO2 are increasingly relevant to climate policy. We evaluated sub-continental, seasonal estimates of CO2 NEE from nine global inversion systems that participated in the Orbiting Carbon Observatory-2 model intercomparison project (OCO-2 v9 MIP), using 98 research flights conducted over the central and eastern United States from 2016 to 2018 as part of the Atmospheric Carbon and Transport - America mission. We found that the seasonal amplitude of NEE in the central and eastern United States is underestimated in these models and model-data biases are largest for those inversions with the smallest seasonal flux amplitudes. These results were independent of whether the inversions used satellite or in situ data. The largest NEE biases were observed in the Midwest croplands and eastern forests. Future experiments are needed to determine the causes of the persistent biases and if they are associated with biases in annual flux estimates.

AB - Atmospheric inversion estimates of net ecosystem exchange (NEE) of CO2 are increasingly relevant to climate policy. We evaluated sub-continental, seasonal estimates of CO2 NEE from nine global inversion systems that participated in the Orbiting Carbon Observatory-2 model intercomparison project (OCO-2 v9 MIP), using 98 research flights conducted over the central and eastern United States from 2016 to 2018 as part of the Atmospheric Carbon and Transport - America mission. We found that the seasonal amplitude of NEE in the central and eastern United States is underestimated in these models and model-data biases are largest for those inversions with the smallest seasonal flux amplitudes. These results were independent of whether the inversions used satellite or in situ data. The largest NEE biases were observed in the Midwest croplands and eastern forests. Future experiments are needed to determine the causes of the persistent biases and if they are associated with biases in annual flux estimates.

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