The new IPSL climate system model: IPSL-CM4
Bibliographic record
Abstract
The estimate of future climate change and of its impact on the environment requires to increase our knowledge of the complex interactions between the atmosphere, the ocean, sea-ice, land surfaces and glaciers. These components are coupled through the cycles of energy and water, but also through biogeochemical cycles such as the carbon or the ozone cycles. One of the goals of the IPSL modeling community is to study how these different couplings can modulate climate and climate variability, and to determine how feedbacks in the Earth system control the response of climate to a perturbation such as the anthropogenic emissions of greenhouse gases. For this purpose, the Earth system model of the IPSL is developed as a modular suite of model components of the Earth system that can be use either as stand alone models or coupled to each other. This note presents the new features and results of the last version of the global IPSL coupled model that will be used to run the set of simulations planned for the next IPCC assessment. In particular, chapter 2 presents the model components of the coupled system, highlighting important features for the coupling or the quality of model simulations. Chapter 3 synthesise all the coupling procedures and the coupling environment, and chapter 4 discussed the major characteristics of the model climatology.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".