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OURANOS_ESPO

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Field Value
Description Developed by Ouranos, a Canadian consortium on regional climatology and adaptation to climate change, the ESPO-G6-R2 dataset comprises daily climate projections from January 1950 to December 2100. Covering North America at a 10 km resolution, it includes multiple General Circulation Model (GCM) outputs, scenarios, ensemble members, and variables. The dataset is used in climate research and adaptation planning.
Folder /datasets/meteorological/Ouranos_ESPO-G6-R2
Discipline Meteorology / Climate Sciences / Earth Science
DOI 10.1038/s41597-023-02855-z
Link Access Data
Public true
Publication Date 2024-01-11
Downloaded 2024-10-24
Time Resolution Daily (Jan 1950 - Dec 2100)
Spatial Resolution 10km - North America
Data Type NetCDF
Dataset Size 8.6T
Number of Files 8583
Usage 
$ module avail
$ module load datasets
$ module load meteorological/Ouranos_ESPO-G6-R2/2024-01-11
Usage Policy Link http://creativecommons.org/licenses/by/4.0/
Usage Policy This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users may use, share, adapt, and redistribute the data provided that proper credit is given to the original authors and source, a link to the license is included (http://creativecommons.org/licenses/by/4.0/), and any modifications are clearly indicated. Unless a credit line states otherwise, images or third-party materials in the article are also covered by CC BY 4.0; if not covered and your intended use is beyond statutory permissions, separate permission may be required from the copyright holder. Users are responsible for ensuring that the dataset is appropriate for their applications.
Citation Lavoie, J., Bourgault, P., Smith, T.J. et al. An ensemble of bias-adjusted CMIP6 climate simulations based on a high-resolution North American reanalysis. Sci Data 11, 64 (2024). https://doi.org/10.1038/s41597-023-02855-z
BibTeX
📜 View BibTeX citation
@article{Lavoie2024,
  author    = {Lavoie, Juliette and Bourgault, Pascal and Smith, Trevor James and Logan, Travis and Leduc, Martin and Caron, Louis-Philippe and Gammon, Sarah and Braun, Marco},
  title     = {An ensemble of bias-adjusted CMIP6 climate simulations based on a high-resolution North American reanalysis},
  journal   = {Scientific Data},
  year      = {2024},
  volume    = {11},
  number    = {1},
  pages     = {64},
  doi       = {10.1038/s41597-023-02855-z},
  url       = {https://doi.org/10.1038/s41597-023-02855-z},
  issn      = {2052-4463},
  abstract  = {ESPO-G6-R2 v1.0 is a set of statistically downscaled and bias-adjusted climate simulations based on the Coupled Model Intercomparison Project 6 (CMIP6) models. The dataset is composed of daily timeseries of three variables: daily maximum temperature, daily minimum temperature and daily precipitation. Data are available from 1950 to 2100 over North America. The simulation ensemble is comprised of 14 models driven by two emissions scenarios (SSP2-4.5 and SSP3-7.0). In this paper, we describe the workflow used for the bias-adjustment, which relies on the detrended quantile mapping method and the Regional Deterministic Reforecast System (RDRS) v2.1 reference dataset. Using the framework defined in the VALUE project, we show the improvements made by the bias-adjustment on marginal, temporal and multivariate aspects of the data. We also verify that the bias-adjusted climate data have similar climate change signal to the original climate model simulations. Finally, we provide guidance to users on how to use this dataset.}
}