The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A three-dimensional model of atmospheric CO2transport based on observed winds: 1. Analysis of observational data
Abstract
Temporal and spatial patterns of atmospheric carbon dioxide elucidate the global carbon cycle as it functions on time scales ranging from days to decades. In preparation for interpreting these patterns with a three-dimensional model of atmospheric tracer transport, we have summarized CO2 measurements obtained by the Scripps Institution of Oceanography since 1957 from an array of stations between the Arctic Basin and the South Pole. Ten stations contributed to the array, supplemented by sampling on ships and ice floes. After applying consistent calibrating criteria to the full set of data, we have decomposed each record into an annually periodic signal and a seasonally adjusted time series, smoothed to emphasize interannual variations. We have computed harmonic coefficients to express the average seasonal cycle. We have determined seasonally adjusted concentrations for 1962, 1968, and annually from 1978 to 1986, to reflect slowly varying characteristics of the carbon cycle, and we have assembled these data in north-to-south profiles to reveal spatial patterns. We have similarly assembled isotopic data derived from measurements of the 13C/12C isotopic ratio of atmospheric CO2, made always on the same air measured for its CO2 concentration. We have extended the data sets for stations at Mauna Loa Observatory, Hawaii and the South Pole through 1988 to create a continuous time series which approximates the global change in CO2 concentration over 32 years and the isotopic ratio over 11 years. To establish interannual changes in the carbon cycle, we have developed a compartment model which treats the transfers of carbon between global atmospheric and terrestrial biospheric carbon pools, and between these pools and a world ocean in which vertical transport occurs by diffusion. In a variant to this model the oceanic submodel was replaced with a three-dimensional oceanic transport model. Both the concentration and isotopic ratio of CO2 show clearly defined seasonal cycles and evidence that the carbon cycle responds to El Niño events that recur in the records approximately every 4 years. According to the isotopic data, oscillations in CO2 associated with El Niño events are produced by opposing oceanic and biospheric fluxes several times larger than the net fluxes inferred from the CO2 concentration data alone. On a longer time scale the concentration data show a weak, approximately 11 year, cycle possibly driven by variations in solar irradiance. On a still longer time scale the data indicate that a larger apparent fraction of CO2 from fossil fuel combustion has been retained in the air during the past 14 years than formerly, in spite of a reduced acceleration in worldwide fuel consumption which, according to the compartment model, should have led to a lesser retention in the air after 1974. The isotopic records suggest that this increased retention is partially a result of ocean warming, but is predominantly caused by an accelerated release of CO2 by the terrestrial biosphere.
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
Craig, H. (1957) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(57)90024-8 · Cited by 4,170
Atmospheric carbon dioxide variations at Mauna Loa Observatory, Hawaii
Keeling, C. D., Bacastow, R. B., Bainbridge, A. E., Ekdahl, C. A., Guenther, P. R., Waterman, L. S., & Chin, J. F. S. (1976) · Tellus · doi:10.1111/j.2153-3490.1976.tb00701.x · Cited by 794
Self-citationSeasonal amplitude increase in atmospheric CO 2 concentration at Mauna Loa, Hawaii, 1959–1982
Bacastow, R. B., Keeling, C. D., & Whorf, T. P. (1985) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd090id06p10529 · Cited by 250
Self-citation
Cited by
Seasonal variation of CO 2 and nutrients in the high‐latitude surface oceans: A comparative study
Takahashi, T., Olafsson, J., Goddard, J. G., Chipman, D. W., & Sutherland, S. C. (1993) · Global Biogeochemical Cycles · doi:10.1029/93gb02263 · Cited by 1,163
Randerson, J. T., Thompson, M. V., Conway, T. J., Fung, I. Y., & Field, C. B. (1997) · Global Biogeochemical Cycles · doi:10.1029/97gb02268 · Cited by 455
Lynch‐Stieglitz, J., Stocker, T. F., Broecker, W. S., & Fairbanks, R. G. (1995) · Global Biogeochemical Cycles · doi:10.1029/95gb02574 · Cited by 344
Spatiotemporal patterns of carbon‐13 in the global surface oceans and the oceanic suess effect
Gruber, N., Keeling, C. D., Bacastow, R. B., Guenther, P. R., Lueker, T. J., Wahlen, M., Meijer, H. A. J., Mook, W. G., & Stocker, T. F. (1999) · Global Biogeochemical Cycles · doi:10.1029/1999gb900019 · Cited by 338
Self-citationHolland, E. A., Braswell, B. H., Lamarque, J., Townsend, A., Sulzman, J., Müller, J., Dentener, F., Brasseur, G., Levy, H., Penner, J. E., et al. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/96jd03164 · Cited by 320
Metadata
- Authors
- Keeling, C. D., Bacastow, R. B., Carter, A. F., Piper, S. C., Whorf, T. P., Heimann, M., Mook, W. G., & Roeloffzen, H.
- Venue
- Geophysical Monograph Series
- Publisher
- American Geophysical Union
- Published
- 2013-03-23
- Pages
- 165-236
- ISSN
- 0065-8448 (ISSN-L)
- 2328-8779
- OpenAlex
- W1543989356
- Cited by
- 426
- References
- 3
- FWCI
- 16.60
- Type
- book chapter
- Language
- en
- Open access
- closed
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: A three-dimensional model of atmospheric CO2transport based on observed winds: 1. Analysis of observational data. https://app.cochat.ai/papers/10.1029/gm055p0165
- The paper
- Keeling, C. D., Bacastow, R. B., Carter, A. F., Piper, S. C., Whorf, T. P., Heimann, M., Mook, W. G., & Roeloffzen, H. (2013). A three-dimensional model of atmospheric CO2transport based on observed winds: 1. Analysis of observational data. Geophysical Monograph Series. https://doi.org/10.1029/gm055p0165
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.