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Record W3209116973 · doi:10.5281/zenodo.3251114

The Canadian Earth System Model (CanESM) - v5.0.3

2019· article· en· W3209116973 on OpenAlexaffabout
Neil C. Swart, Jason Cole, Slava Kharin, Mike Lazare, John Scinocca, Nathan P. Gillett, James Anstey, Vivek Arora, James Lee Christian, Sarah Hanna, Yanjun Jiao, Warren G. Lee, Fouad Majaess, Oleg A. Saenko, Christian Seiler, Clint Seinen, Andrew Shao, Larry Solheim, Knut von Salzen, Duo Yang, Barbara Winter

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsUniversity of VictoriaFisheries and Oceans Canada
Fundersnot available
KeywordsEarth (classical element)Earth system scienceGeologyAstrobiologyMathematicsPhysicsOceanography

Abstract

fetched live from OpenAlex

CanESM is a fully coupled Earth System Model, developed at the <em>Canadian Centre for Climate Modelling and Analysis</em>, Climate Research Division, Environment and Climate Change Canada (ECCC). This respository includes all the source code, utilities and scripts used to compile and run CanESM5 and to do diagnostics on ECCC's High Performance Computers (see disclaimer regarding usage below; excludes 3rd party dependencies such as NetCDF). The CanESM code is made openly available at gitlab.com/cccma/canesm. An internal version of the code is also maintained on the ECCC gitlab server, and includes issue tracking and a wiki. This is only available from within the ECCC/Science networks, and requires a science.gc.ca login (same as for science.gc.ca machines). This CanESM repository is referred to as the <em>super-repo</em>. There are six directories at the top level of the super-repo: CanAM : The Canadian Atmosphere Model source code (also see CanDIAG). This is code strictly used by the model alone. CanDIAG : The AGCM diagnostics code, also including all code which overlaps between diagnostics and CanAM. CanCPL : The "new" coupler, built for CanAM-CanNEMO. CanNEMO : The CCCma configuration of NEMO. CCCma_tools : All scripts and utilities, which effectively make up the "CCCma environment". CONFIG : Example make_jobs and basefiles (this is not a submodule). The first five directories (CanAM, CanDIAG, CanCPL, CanNEMO and CCCma_tools) are git <em>submodules</em>. That means each of these directories is an independent git repository, and is tracked by git in the super-repo. The code in each submodule and the super-repo must be treated as separate repositories. The purpose of the super-repo is to keep track of which versions of the (submodule) code define a consistent and working version of the ESM (or AMIP configuration). Hence, a version of the ESM is completely defined by a commit (SHA1 checksum) or tag of the super-repo. This code is made available on an as-is basis. lt has been tested only on the computing facilities within Environment and Climate Change Canada (ECCC). There is no guarantee that it will run on other platforms or if it does, that it will run correctly. No support of any kind will be made available to help users to run the model on their own system. README documents linked below describe the development process used on ECCC machines.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.032

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 head0.034
GPT teacher head0.188
Teacher spread0.154 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations21
Published2019
Admission routes2
Has abstractyes

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