CICE Consortium/CICE Version 6.0.0
Notice bibliographique
Résumé
CICE version 6.0.0 is released with Icepack version 1.1.0. Icepack contains the column physics within CICE, first released as an independent software package in February 2018. Because the code refactoring associated with Icepack introduced significant differences with the previous CICE release (v5.1.2), we created an “alpha” version of CICE v6 in March 2018 while enhancements for the full v6 release were completed. Since the v6.0.0.alpha release, we updated Icepack to version 1.1.0, implemented dynamic allocation for most arrays, enhanced all rheology options (EVP, rEVP, EAP), simplified the initialization procedure for tracers, added support for CMIP6 history output, improved the quality control and compliance tests, added new test configurations to the test suites, and automated basic testing using Travis CI. This release also includes many other improvements since version 5.1.2, most notably a new landfast-ice parameterization with tensile strength, and full vertical biogeochemistry with shortwave feedback on sea ice physics. The source code and forcing data directories have been restructured to allow extensions for other sea ice model components, and we implemented a flexible, extensible, robust interface between Icepack and the sea ice model driver. The code, scripts, development procedures and tasks/issues are documented online, and automated test reporting is available. Major changes: - Update icepack [#163](https://github.com/CICE-Consortium/CICE/pull/163) [#188](https://github.com/CICE-Consortium/CICE/pull/188) [#223](https://github.com/CICE-Consortium/CICE/pull/223) [#250](https://github.com/CICE-Consortium/CICE/pull/250) [#262](https://github.com/CICE-Consortium/CICE/pull/262) - Add CMIP6 support [#191](https://github.com/CICE-Consortium/CICE/pull/191) [#195](https://github.com/CICE-Consortium/CICE/pull/195) - Add dynamic allocation [#194](https://github.com/CICE-Consortium/CICE/pull/194) - Move tracer pre-processing information to namelist [#196](https://github.com/CICE-Consortium/CICE/pull/196) - Add tripole grid and test [#201](https://github.com/CICE-Consortium/CICE/pull/201) - Add bathymetry files for testing landfast ice [#222](https://github.com/CICE-Consortium/CICE/pull/222) - Revise rEVP [#229](https://github.com/CICE-Consortium/CICE/pull/229) [#226](https://github.com/CICE-Consortium/CICE/pull/226) - Refactor tracer initialization to take advantage of dynamic allocation [#235](https://github.com/CICE-Consortium/CICE/pull/235) - Set EVP subcycling ndte=240 (increased from 120) [#250](https://github.com/CICE-Consortium/CICE/pull/250) Enhancements: - Travis CI [#111](https://github.com/CICE-Consortium/CICE/pull/111) - Enhance machine support [#120](https://github.com/CICE-Consortium/CICE/pull/120) [#125](https://github.com/CICE-Consortium/CICE/pull/125) [#153](https://github.com/CICE-Consortium/CICE/pull/153) [#220](https://github.com/CICE-Consortium/CICE/pull/220) [#261](https://github.com/CICE-Consortium/CICE/pull/261) - Add queue information to scripts [#143](https://github.com/CICE-Consortium/CICE/pull/143) [#147](https://github.com/CICE-Consortium/CICE/pull/147) - Add version number in netcdf output [#121](https://github.com/CICE-Consortium/CICE/pull/121) - Increase test coverage [#129](https://github.com/CICE-Consortium/CICE/pull/129) - Implement box model tests [#151](https://github.com/CICE-Consortium/CICE/pull/151) [#254](https://github.com/CICE-Consortium/CICE/pull/254) - Support coupling in RASM [#152](https://github.com/CICE-Consortium/CICE/pull/152) [#253](https://github.com/CICE-Consortium/CICE/pull/253) - Rename some variables and subroutines [#158](https://github.com/CICE-Consortium/CICE/pull/158) - Test the QC testing process [#167](https://github.com/CICE-Consortium/CICE/pull/167) - Add subname to each routine, for diagnostics [#173](https://github.com/CICE-Consortium/CICE/pull/173) - Move emissivity into namelist [#176](https://github.com/CICE-Consortium/CICE/pull/176) - Clean up dummy and unused variables [#180](https://github.com/CICE-Consortium/CICE/pull/180) - Add output variables for vector speed/direction quantities (ice, atm, ocn) [#199](https://github.com/CICE-Consortium/CICE/pull/199) - Compare log files in addition to restart files for regression tests [#202](https://github.com/CICE-Consortium/CICE/pull/202) - Change namelist flags, settings for consistency with Icepack [#208](https://github.com/CICE-Consortium/CICE/pull/208) - Clarify test output [#209](https://github.com/CICE-Consortium/CICE/pull/209) - Enhance scripts [#215](https://github.com/CICE-Consortium/CICE/pull/215) - Move k1 to namelist [#220](https://github.com/CICE-Consortium/CICE/pull/220) - Add HYCOM forcing for DMI [#230](https://github.com/CICE-Consortium/CICE/pull/230) - Consolidate BGC namelist flags and clean up initialization [#240](https://github.com/CICE-Consortium/CICE/pull/240) - Improve EAP efficiency [#257](https://github.com/CICE-Consortium/CICE/pull/257) - Update documentation Bug fixes: - Handle effective sample size > 30 in QC script [#108](https://github.com/CICE-Consortium/CICE/pull/108) - Comment out non-thread-safe threading [#111](https://github.com/CICE-Consortium/CICE/pull/111) - Fix QC false failures and update per Roberts et al 2018 [#145](https://github.com/CICE-Consortium/CICE/pull/145) [#161](https://github.com/CICE-Consortium/CICE/pull/161) - Broadcast calendar fields [#146](https://github.com/CICE-Consortium/CICE/pull/146) - Fix binary restarts [#148](https://github.com/CICE-Consortium/CICE/pull/148) - Mask restoring variables by land [#149](https://github.com/CICE-Consortium/CICE/pull/149) - Fix failing tests [#163](https://github.com/CICE-Consortium/CICE/pull/163) - Fix units for trsig in history output [#198](https://github.com/CICE-Consortium/CICE/pull/198) - Correct parameter k1 for basal grounding scheme [#206](https://github.com/CICE-Consortium/CICE/pull/206) - Debug zbgc [#207](https://github.com/CICE-Consortium/CICE/pull/207) - Fix threading problem for dfresh, dfsalt [#228](https://github.com/CICE-Consortium/CICE/pull/228) - Fix array-out-of-bounds in EAP [#257](https://github.com/CICE-Consortium/CICE/pull/257)
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,005 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,107 | 0,151 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».