ESPO-G6-R2 : Ensemble de Simulations Post-traitées d'Ouranos - modèles Globaux CMIP6 - RDRS v2.1 / Ouranos Ensemble of Bias-adjusted Simulations - Global models CMIP6 - RDRS v2.1
Bibliographic record
Abstract
Context The need to adapt to climate change is present in a growing number of fields, leading to an increase in the demand for climate scenarios for often interrelated sectors of activity. In order to meet this growing demand and to ensure the availability of climate scenarios responding to numerous vulnerability, impact, and adaptation (VIA) studies, Ouranos is working to create a set of operational multipurpose bias-adjusted climate simulations called "Ensemble de Simulations Post-traitées d'Ouranos" (ESPO). The purpose of this dataset is to provide an ensemble extending to 2300 that can be used to assess long-term adaptation options. Dataset ESPO-G6-post2100 is a small ensemble of CMIP6 simulations extending to 2300 with variables for minimum daily temperature, maximum daily temperature and daily precipitation (tasmin, tasmax, pr). Beyond the ensemble composition, the main difference with ESPO-G6-R2 v1 is the reference dataset, updated to the latest version of the Canadian Surface Reanalysis (CaSR v3.2). Changes from ESPO-G6-R2 v1.0: Covers the period from 1950 to 2300; Reference dataset updated from CaSR v2.1 to CaSR v3.2; Fix bug on adapt freq (https://github.com/Ouranosinc/ESPO-G/issues/8) Workflow executed using snakemake Data access Data is available in netCDF on PAVICS: https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/catalog/birdhouse/disk3/ouranos/ESPO-G/ESPO-G6-post2100_v1.0/catalog.html Method The code performs the bias-adjustment on the raw simulations to create the ESPO-G6-post2100 v1.0.0 ensemble. First, each simulation is regridded with a bilinear interpolation in cascades onto the CaSR v3.2 reference grid. Then, they are adjusted following the Detrended Quantile Mapping procedure. The adjustment is performed on tasmax, pr and dtr (daily temperature range). The variable tasmin is reconstructed from tasmax and dtr. The three variables are then assembled to create the official timeseries. Branch: post-2100-narval History: Ran in 2026-03 within conda environment xscen-0.13. References ESPO-G6-R2 v1.0 is described in Lavoie et al. (2024).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".