Report of the Sixth Session of the JSC/CLIVAR Working Group on Coupled Modelling, Victoria, Canada, 7-10 October 2002
Bibliographic record
Abstract
CLIVAR is a component of the World Climate Research Programme (WCRP), which was established by WMO and ICSU, and is carried out in association with IOC and SCOR.The scientific planning and development of CLIVAR is under the guidance of the JSC Scientific Steering Group for CLIVAR assisted by the CLIVAR International Project Office.The Joint Scientific Committee (JSC) is the main body of WMO-ICSU-IOC formulating overall WCRP scientific concepts.WGCM endorsed the present membership but recommended that future changes should reflect a better representation of the variety of ocean models used and developed at present within the community.(C.Boening to WGOMD) AR4 (4 th IPCC Assessment Report)In order to meet the timeline for the next IPCC report, WGCM pointed out that the forcing scenarios have to be finalized in early summer 2003.The group recommended to use the original preliminary scenarios used in for the TAR instead of taking new ones, unless the differences are large, to enable intercomparisons with previous calculations.Furthermore, this would provide a larger sample size for intercomparisons and for impact studies.In addition, it was requested that a simple concentration time series for each atmospheric parameter should be provided for each emission scenario and made available on the IPCC and the TGCIA website.If the scenarios are changed, then it is very unlikely that WGII will have time to include work from the new scenarios in the AR4 report.This was also the case for the TAR.(J.Mitchell to draft a letter to the IPCC bureau the above mentioned recommendations.)It should also make clear that IPCC should assess and not direct climate research.WGCM notes that it would be very useful if a set of indices were developed to document important modes of variability in the coupled system.Model results could then be compared using these indices.This would provide a simple, clean way of evaluating model performance.(A.Villwock to JSC, CLIVAR SSG for approval) WGCM felt that the Modelling Intercomparison Projects (MIPS) should in time be more integrated towards an Earth System Modelling umbrella.The Coupled Model Intercomparison Project (CMIP) could serve as the overarching MIP.The group encourages the display of the accomplishments of the MIP's in the newsletters of the various programmes.(A.Villwock to JSC) Idealized Model ExperimentsA letter of invitation for participation will be send out soon.(B.McAvaney). Data ManagementWGCM to ask the JSC to set up and ad-hoc task team on data management with representatives of all WCRP projects to develop a comprehensive data management strategy for WCRP (B.McAvaney and PCMDI to develop 'white paper' for JSC). C20C ProjectSince this activity is performed with atmosphere-only AMIP type runs, WGCM felt that this activity would be better placed under the scope of AMIP.Nevertheless, a coordination of the forcing with the ongoing CMIP activity on (coupled) C20C runs would be useful.(J.Mitchell to report to H. Cattle). Relationship to C4MIPWGCM regards the C4MIP as an activity that could be well placed under the expanded scope of CMIP.This issue should be discussed with GAIM, then be brought to the JSC for endorsement.(WGCM to discuss with GAIM) 13.Website for WGCM WGCM asks to pursue the idea for a Website for the panel to be set up under WCRP.(A. Villwock to contact JPS)
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.075 | 0.018 |
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".