Published CORDEX-CMIP6.DD.NAM-12.OURANOS.historical.CRCM5-SN (v1)
General Information
| Name | CORDEX-CMIP6.DD.NAM-12.OURANOS.historical.CRCM5-SN |
|---|---|
| Abstract | Project: CORDEX-CMIP6 Activity: Dynamical downscaling on standard CORDEX continental domains (CORDEX-Domain) [DD] CORDEX Domain: North America [NAM-12] Source: Canadian Regional Climate Model version 5 [CRCM5-SN] Produced by: Ouranos Consortium on Regional Climatology and Adaptation to Climate Change (Québec, Canada) [OURANOS] Grid configuration : NAM-12 CORDEX North American domain at 0.11°, 695x668 grid points including a 20-point sponge (and halo) zone surrounding the domain, 5-minute time steps, 56 vertical levels and a top at 10 hPa. 17 soil levels and a bottom at 15 m. Spectral Nudging : A spectral nudging is applied to the horizontal wind component with a half-response wavelength of 1177km and a relaxation time of 13.34 h. The nudging strength is set to zero from the surface to a height of 500 hPa and increases linearly onward to the top of the model’s simulated atmosphere. Atmosphere: Precipitation: large-scale condensation scheme (Sundqvist, 1989); precipitation partition diagnostic method (Bourgouin, 2000) Shallow convection: based on transient version of Kuo (1965) scheme (Bélair et al. 2005) Deep convection: Kain-Fritsch (1990) Radiation: Li & Barker (2005) Surface: CLASS3.5c (Verseghy, 1993) Lake model: FLake (Martinov et al. 2012) Ocean: Prescribed SST & sea ice fraction Aerosol: Fixed The CRCM5-SN is developed by the ESCER Centre at UQAM (Université du Québec à Montréal) with the collaboration of Environment and Climate Change Canada (ECCC), based on GEM 3.3.3.1 from ECCC. CORDEX is a World Climate Research Programme (WCRP) initiative that advances the science and application of regional climate downscaling by coordinating experiments across fourteen continental domains and fostering related strategic activities and partnerships. It provides regional climate projections (driven by CMIP projections) to support the understanding of recent and future regional climate change. CORDEX contributes to the Regional Information for Society (RIfS) Core Project. Users of CORDEX data should be familiar with the CORDEX Terms of Use. A list of institutions contributing to CORDEX is available here. This record was created via the CEDA Citation Service, maintained and hosted on the CEDA JASMIN Infrastructure. |
| Rights | Creative Commons Attribution 4.0 International License (CC-BY-4.0) |
| License | CC-BY-4.0; CORDEX-CMIP6 data produced by OURANOS is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use for terms of use governing CORDEX-CMIP6 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law. |
| Cite As |
Paquin, Dominique; Giguère, Michel; McCray, Christopher; Asselin, Olivier; Gauthier, Charles; Labonté, Marie-Pier; Bourgault, Pascal; Matte, Dominic. (2026). ESGF-NG CORDEX-CMIP6.DD.NAM-12.OURANOS.historical.CRCM5-SN. v1. Science and Technology Facilities Council. https://doi.org/10.82965/12gt-qv57
📚 BibTeX 🗂️ RIS |
| Published on | 28/10/2026 at 22:27:55 (UK) |
CORDEX-CMIP6 Facets
| Activity | DD |
|---|---|
| Domain | NAM-12 |
| Experiment | historical |
| Institution | OURANOS |
| Project | CORDEX-CMIP6 |
| Source | CRCM5-SN |
Data Access
This citation record represents all ESGF-NG data corresponding to the search facets above. See the abstract for details on any limitations of coverage. The data can be discovered using either the ESGF STAC API directly or by viewing the Metagrid Search interface to ESGF-NG.
Python Client
Interfacing with the STAC API can be done programatically in python using the pystac client or similar. Below is an example code snippet to fetch items to which this Citation record applies.
from pystac.client import Client
cli = Client.open("https://search.east.esgf.io")
cli.search(
collections=["CORDEX-CMIP6"],
query=[
"cordex-cmip6:driving_experiment_id=historical",
"cordex-cmip6:domain_id=NAM-12",
"cordex-cmip6:activity_id=DD",
"cordex-cmip6:source_id=CRCM5-SN",
"cordex-cmip6:institution_id=OURANOS",
])
Responsible Parties
| Name | Role |
|---|---|
| Dominique Paquin (paquin.dominique@ouranos.ca) | Primary |
| Michel Giguère (giguere.michel@ouranos.ca) | Contact |
| Christopher McCray | Contact |
| Olivier Asselin (asselin.olivier@ouranos.ca) | Contact |
| Charles Gauthier (gauthier.charles@ouranos.ca) | Contact |
| Marie-Pier Labonté (labonte.marie-pier@ouranos.ca) | Contact |
| Pascal Bourgault (bourgault.pascal@ouranos.ca) | Contact |
| Dominic Matte (matte.dominic@ouranos.ca) | Contact |
Funding Streams
| Stream Name | Affiliation |
|---|
Affiliated Institutions
| Institution | Country |
|---|---|
| Ouranos Consortium on Regional Climatology and Adaptation to Climate Change | Canada |
Cites
Paquin, D., McCray, C.D., Gauthier, C.B. et al. The Ouranos CRCM5-CMIP6 ensemble: A dynamically downscaled ensemble of CMIP6 simulations over North America. Sci Data 12, 1984 (2025). https://doi.org/10.1038/s41597-025-06289-7.
Cites
Sundqvist, H., E. Berge, and J. E. Kristjánsson, 1989: Condensation and Cloud Parameterization Studies with a Mesoscale Numerical Weather Prediction Model. Mon. Wea. Rev., 117, 1641–1657, 2.0.CO;2>https://doi.org/10.1175/1520-0493(1989)117<1641:CACPSW>2.0.CO;2..
Cites
Bourgouin, P., 2000: A Method to Determine Precipitation Types. Wea. Forecasting, 15, 583–592, https://doi.org/10.1175/1520-0434(2000)015<0583:AMTDPT>2.0.CO;2.
Cites
Kuo, H. L., 1965: On Formation and Intensification of Tropical Cyclones Through Latent Heat Release by Cumulus Convection. J. Atmos. Sci., 22, 40–63, 2.0.CO;2>https://doi.org/10.1175/1520-0469(1965)022<0040:OFAIOT>2.0.CO;2..
Cites
Bélair, S., Mailhot, J., Girard, C. & Vaillancourt, P. Boundary layer and shallow cumulus clouds in a medium-range forecast of a large-scale weather system. Monthly weather review 133, 1938–1960 (2005). https://doi.org/10.1175%2FMWR2958.1.
Cites
Kain JS, Fritsch JM (1990) A one-dimensional entraining/detraining plume model and application in convective parameterization. J Atmos Sci 47:2784–2802, https://doi.org/10.1175%2F1520-0469%281990%29047%3C2784%3AAODEPM%3E2.0.CO%3B2.
Cites
Li, J. & Barker, H. A radiation algorithm with correlated-k distribution. part i: Local thermal equilibrium. Journal of the atmospheric sciences 62, 286–309 (2005). https://doi.org/10.1175%2FJAS-3396.1.
Cites
Verseghy, D. L., McFarlane, N. A. and Lazare, M.: CLASS – A Canadian land surface scheme for GCMs, II. Vegetation model and coupled runs, Int. J. Climatol., 13(4), 347–370, 1993, https://doi.org/10.1002/joc.3370130402.
Cites
Martynov, A., Sushama, L., Laprise, R., Winger, K. and Dugas, B. (2012) ‘Interactive lakes in the Canadian Regional Climate Model, version 5: the role of lakes in the regional climate of North America’, Tellus B: Chemical and Physical Meteorology, 64(1), p. 16226. https://doi.org/10.3402/tellusa.v64i0.16226.
Cites
Martynov, A. et al. Reanalysis-driven climate simulation over cordex north america domain using the canadian regional climate model, version 5: model performance evaluation. Clim Dyn 41, 2973–3005, https://doi.org/10.1007/s00382-013-1778-9. (2013).