An Overview of Terra Mission Results Related to the Carbon Cycle
Bibliographic record
Abstract
Abstract Launched in December 1999 as the Earth Observing System's flagship observatory, the Terra Mission (formerly EOS AM‐1) carries a suite of five instruments that collect comprehensive global measurements of earth's atmosphere, cryosphere, lands, and oceans. One of the mission's science goals is the collection of data that will enable a better quantitative understanding of earth's carbon cycle through direct observation of atmospheric constituents and the provision of spatially explicit information about biophysical surface properties useful for modeling. In this article, highlights of the mission's use of five main instruments (ASTER, CERES, MISR, MODIS, and MOPITT) to address various aspects of the carbon cycle are reviewed, using examples of earth's photosynthetic production on land, vegetation structure and ecosystem response, and the extent and frequency of fires and their contribution of aerosols and carbon emissions to the atmosphere.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".