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Record W3208792398 · doi:10.5281/zenodo.1893041

CICE Consortium/CICE Version 6.0.0

2018· article· en· W3208792398 on OpenAlexaff
Elizabeth Hunke, Richard A Allard, David A. Bailey, Philippe Blain, Tony Craig, Anders Damsgaard, Frédéric Dupont, Alice K. DuVivier, Robert Grumbine, Marika M. Holland, Nicole Jeffery, Jean‐François Lemieux, Andrew Roberts, Matthew Turner, Michael Winton

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsEngineeringEnvironmental science

Abstract

fetched live from OpenAlex

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)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.107
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0050.006
Open science0.0050.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.1070.151

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.

Opus teacher head0.021
GPT teacher head0.216
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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