The role of subsurface heat storage in climate model simulations
Bibliographic record
Abstract
In order to examine the possible consequences of misplacing the bottom boundary condition in models used to project future changes in climate, we used the Northern Hemispheric output from the ECHOg model; specifically the A2 and B2 IPCC scenarios. We initialized the experiment with the ECHO-g 1000-year paleoclimatic simulation acting as the spin-up run from 1000 to 1990 CE. This paleoclimate simulation was used as the upper boundary condition, the bottom boundary was set at a depth of 1000m, and the spin-up was initialized with a constant thermal profile. Application of the paleoclimatic simulation to our 1DSM yields the temperaturedepth profile that was used as the initial condition and reference state for all the future climate experiments. The inset plot in Fig. 4 shows the annual temperature for the millennial ECHO-g paleoclimatic simulation and the future temperature projections under scenarios A2 and B2 used in this experiment.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".