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An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker
Open accessAbstract
We present an estimate of net CO 2 exchange between the terrestrial biosphere and the atmosphere across North America for every week in the period 2000 through 2005. This estimate is derived from a set of 28,000 CO 2 mole fraction observations in the global atmosphere that are fed into a state-of-the-art data assimilation system for CO 2 called CarbonTracker. By design, the surface fluxes produced in CarbonTracker are consistent with the recent history of CO 2 in the atmosphere and provide constraints on the net carbon flux independent from national inventories derived from accounting efforts. We find the North American terrestrial biosphere to have absorbed −0.65 PgC/yr (1 petagram = 10 15 g; negative signs are used for carbon sinks) averaged over the period studied, partly offsetting the estimated 1.85 PgC/yr release by fossil fuel burning and cement manufacturing. Uncertainty on this estimate is derived from a set of sensitivity experiments and places the sink within a range of −0.4 to −1.0 PgC/yr. The estimated sink is located mainly in the deciduous forests along the East Coast (32%) and the boreal coniferous forests (22%). Terrestrial uptake fell to −0.32 PgC/yr during the large-scale drought of 2002, suggesting sensitivity of the contemporary carbon sinks to climate extremes. CarbonTracker results are in excellent agreement with a wide collection of carbon inventories that form the basis of the first North American State of the Carbon Cycle Report (SOCCR), to be released in 2007. All CarbonTracker results are freely available at http://carbontracker.noaa.gov .
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Tang, W., Gaubert, B., Emmons, L. K., Choi, Y., DiGangi, J. P., Diskin, G. S., Xu, X., He, C., Worden, H. M., Tilmes, S., et al. (2020) · doi:10.5194/acp-2020-864 · Cited by 9
A constrained least-squares approach to combine bottom-up and top-down CO2 flux estimates
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Tao, B., Wu, F., Wang, J., Zhu, M., Zhang, J., & Xing, Z. (2025) · Ecological Indicators · doi:10.1016/j.ecolind.2025.113387 · Cited by 8
Advances in $\hbox{CO}_{2}$ Observations From AIRS and ACOS
Wei, J., Savtchenko, A., Vollmer, B. E., Hearty, T., Albayrak, A. R., Crisp, D., & Eldering, A. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2281147 · Cited by 8
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Feldman, A. F., Zhang, Z., Yoshida, Y., Gentine, P., Chatterjee, A., Entekhabi, D., Joiner, J., & Poulter, B. (2023) · Global Change Biology · doi:10.1111/gcb.16725 · Cited by 10
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Decadal trends of ocean and land carbon fluxes from a regional joint ocean‐atmosphere inversion
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Phenology and carbon fixing: a satellite-based study over Continental USA
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Metadata
- Authors
- Peters, W., Jacobson, A. R., Sweeney, C., Andrews, A. E., Conway, T. J., Masarie, K., Miller, J. B., Bruhwiler, L. M. P., Pétron, G., Hirsch, A. I., Worthy, D. E. J., van der Werf, G. R., Randerson, J. T., Wennberg, P. O., Krol, M. C., & Tans, P. P.
- Affiliations
- National Oceanic and Atmospheric Administration (US)
- Environment and Climate Change Canada (CA)
- Faculty of Earth and Life Sciences, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands;
- University of California, Irvine (US)
- California Institute of Technology (US)
- Wageningen University & Research (NL)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-11-27
- Volume
- 104
- Issue
- 48
- Pages
- 18925-18930
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2141884
- OpenAlex
- W2166165736
- Cited by
- 1,051
- References
- 30
- Citations by year
- 2026: 30 · 2025: 55 · 2024: 45 · 2023: 89 · 2022: 75 · 2021: 106 · 2020: 61 · 2019: 58 · 2018: 58 · 2017: 51 · 2016: 55 · 2015: 48 · 2014: 60 · 2013: 67 · 2012: 49
- FWCI
- 22.97
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- CO2 flux, terrestrial carbon sink, CarbonTracker, data assimilation, fossil fuel CO2 emissions, deciduous forest, boreal coniferous forest, climate extremes, carbon inventory
- MeSH terms
- Agriculture, Air, Atmosphere, Carbon Dioxide, Disasters, Environmental Monitoring, Fires, Fossil Fuels, Poaceae, Human Activities, North America, Trees, Greenhouse Effect, Biomass, Crops, Agricultural
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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