The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bridging the gap between atmospheric concentrations and local ecosystem measurements
Open accessAbstract
This paper demonstrates that atmospheric inversions of CO 2 are a reliable tool for estimating regional fluxes. We compare results of an inversion over 18 days and a 300 × 300 km 2 domain in southwest France against independent measurements of fluxes from aircraft and towers. The inversion used concentration measurements from 2 towers while the independent data included 27 aircraft transects and 5 flux towers. The inversion reduces the mismatch between prior and independent fluxes, improving both spatial and temporal structures. The present mesoscale atmospheric inversion improves by 30% the CO 2 fluxes over distances of few hundreds of km around the atmospheric measurement locations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Observational Contrains on the Global Atmospheric Co 2 Budget
Tans, P. P., Fung, I. Y., & Takahashi, T. (1990) · Science · doi:10.1126/science.247.4949.1431 · Cited by 2,066
Cited by
Drivers of the US CO2 emissions 1997–2013
Feng, K., Davis, S. J., Sun, L., & Hubacek, K. (2015) · Nature Communications · doi:10.1038/ncomms8714 · Cited by 422
Degradation and resilience in Louisiana salt marshes after the BP–Deepwater Horizon oil spill
Silliman, B. R., van de Koppel, J., McCoy, M. W., Diller, J., Kasozi, G. N., Earl, K., Adams, P. N., & Zimmerman, A. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204922109 · Cited by 300
Tropospheric Ozone Assessment Report
Archibald, A. T., Neu, J. L., Elshorbany, Y. F., Cooper, O. R., Young, P. J., Akiyoshi, H., Cox, R. A., Coyle, M., Derwent, R. G., Deushi, M., et al. (2020) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.2020.034 · Cited by 239
High accuracy measurements of dry mole fractions of carbon dioxide and methane in humid air
Rella, C. W., Chen, H., Andrews, A. E., Filges, A., Gerbig, C., Hatakka, J., Karion, A., Miles, N. L., Richardson, S. J., Steinbacher, M., et al. (2013) · Atmospheric Measurement Techniques · doi:10.5194/amt-6-837-2013 · Cited by 194
Self-citationUnderstanding the variability of Australian fire weather between 1973 and 2017
Harris, S., & Lucas, C. (2019) · PLOS ONE · doi:10.1371/journal.pone.0222328 · Cited by 154
Metadata
- Authors
- Lauvaux, T., Gioli, B., Sarrat, C., Rayner, P. J., Ciais, P., Chevallier, F., Noilhan, J., Miglietta, F., Brunet, Y., Ceschia, E., Dolman, H., Elbers, J. A., Gerbig, C., Hutjes, R., Jarosz, N., Legain, D., & Uliasz, M.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-10
- Volume
- 36
- Issue
- 19
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2119941066
- Cited by
- 212
- References
- 1
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bridging the gap between atmospheric concentrations and local ecosystem measurements. https://app.cochat.ai/papers/10.1029/2009gl039574
- The paper
- Lauvaux, T., Gioli, B., Sarrat, C., Rayner, P. J., Ciais, P., Chevallier, F., Noilhan, J., Miglietta, F., Brunet, Y., Ceschia, E., Dolman, H., Elbers, J. A., Gerbig, C., Hutjes, R., Jarosz, N., Legain, D., & Uliasz, M. (2009). Bridging the gap between atmospheric concentrations and local ecosystem measurements. Geophysical Research Letters. https://doi.org/10.1029/2009gl039574
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
