Latitudinal distribution of atmospheric CO<sub>2</sub> sources and sinks inferred by δ<sup>13</sup>C measurements from 1985 to 1991
Bibliographic record
Abstract
Net CO2 fluxes between the atmosphere and the ocean, and between the atmosphere and the terrestrial biosphere, were estimated by constraining a two‐dimensional atmospheric transport model with the CO2 concentration and its δ13C data obtained from our shipboard measurements in the western Pacific region during the period April 1984 to December 1991. The results obtained for the non‐El Niño and Southern Oscillation (ENSO) years during this time period showed that the ocean acted as a CO2 sink in middle latitudes of both hemispheres and a CO2 source around the equator. The results also suggested that during the 1984–1991 period there were biospheric CO2 sources in southern low and northern middle latitudes, and significant biospheric sinks in northern high latitudes. By comparing the latitudinal distributions of CO2 source/sink for ENSO years with those for non‐ENSO years, it was found that a considerable amount of CO2 was released from the terrestrial biosphere in low latitudes in association with the 1986–1987 ENSO event. While the oceanic region from the equator to 30°N acted as an excess CO2 sink of about 1.0 Gt C y−1r during 1987 and 1988, the oceanic contributions to the CO2 anomaly in the atmosphere were less pronounced in the northern high latitudes and in the southern hemisphere. Also, compared with the estimated interannual fluctuations in the atmosphere‐biosphere CO2 flux, the net CO2 flux between the atmosphere and the ocean showed relatively less interannual variability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".