Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 227

The DOI matches its Crossref record.

Latitudinal distribution of the sources and sinks of atmospheric carbon dioxide derived from surface observations and an atmospheric transport model

Tans, Pieter P., Conway, Thomas J., Nakazawa, Takakiyo·1989·Journal of Geophysical Research: Atmospheres

Abstract

Determination of the present global budget of atmospheric carbon dioxide (CO 2) from the small and persistent concentration gradients that exist in the atmosphere is discussed. The CO 2 concentration at any site results from a combination of two factors: local sources or sinks and long‐range transport. To separate these two effects, an atmospheric transport model is needed. The extensive sets of global CO 2 measurements of the National Oceanic and Atmospheric Administration's (NOAA) Geophysical Monitoring for Climatic Change (GMCC) division and of the Upper Atmosphere and Space Research Laboratory of Tohoku University are combined with a two‐dimensional transport model to derive, in an “inverse” calculation, the latitudinal and seasonal distributions of sources and sinks of CO 2 necessary to reproduce the observed concentrations. The model transport parameters were previously derived from a three‐dimensional general circulation model. It is found that the southern oceans are a sink of carbon of 0.8–1.5 Gt yr−1 (1 Gt equals 10 15 g) and that the equatorial areas are a source to the atmosphere of 1.4–2.8 Gt yr−1. Tropical deforestation as a major source of CO 2 must be smaller than that because the oceans account for a significant part of the equatorial flux. There seems to be significant seasonality in the sources and sinks of CO 2, both in the tropics and in the southern oceans. The seasonal net ecosystem production north of 25°N is found to be 6.2–8.2 Gt of carbon, but these estimates are probably somewhat too low. The source deduction problem is difficult to solve, especially for the middle and high latitudes in the northern hemisphere. This is due to a lack of observations over the continents, which occupy more than half of the global area at these latitudes and are the regions where the sources and sinks are most intense. Evidence is found in the results obtained for the GMCC and Tohoku data that the longitudinal variability of the data is large enough, even in equatorial and southern latitudes, to prevent a two‐dimensional model from calculating a fully credible source/sink field. The longitudinal variations in the observations have to be accounted for with a three‐dimensional transport model.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1029/jd094id04p05151

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 227

Metadata

Authors
Tans, P. P., Conway, T. J., & Nakazawa, T.
Venue
Journal of Geophysical Research: Atmospheres
Published
1989-04-20
Volume
94
Issue
D4
Pages
5151-5172
ISSN
0148-0227 (ISSN-L)
OpenAlex
W2043500506
Cited by
227
References
0
FWCI
15.57
Type
journal article
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: Latitudinal distribution of the sources and sinks of atmospheric carbon dioxide derived from surface observations and an atmospheric transport model. https://app.cochat.ai/papers/10.1029/jd094id04p05151
The paper
Tans, P. P., Conway, T. J., & Nakazawa, T. (1989). Latitudinal distribution of the sources and sinks of atmospheric carbon dioxide derived from surface observations and an atmospheric transport model. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/jd094id04p05151

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.