ContextThe 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 climate scenarios at a high spatial resolution called "Ensemble de Simulations Post-traitées d'Ouranos" (ESPO). DatasetIn ESPO-G6 v1.0.0, CMIP6 global climate model simulations are bias-adjusted using the ERA5-Land reference dataset. The simulation ensemble covers the period for years 1950-2100 and includes the daily minimum temperature (tasmin), the daily maximum temperature (tasmax) and the daily mean precipitation flux (pr). The dataset has a resolution of 0.1° over a North American domain from 179.9°W to 10.0°W and from 10.0°N to 83.3°N. Data is only available on land, as the reference dataset (ERA5-Land) is only defined there. The experiments included are SSP2-4.5 and SSP3-7.0. To avoid the "hot model problem", only models with a Transient Climate Response in the likely range (1.4–2.2 °C) were kept in the official ensemble. Extra "hot models" and experiments will also be made available even if they are not in the official ensemble. ReferenceThe ERA5-Land reanalysis is used as the reference dataset. ERA5-Land is a rerun of the land component of the ERA5 climate reanalysis, forced by meteorological fields from ERA5 and cover the period from 1950 to the present (with a 2-3 month lag from the present day for data quality assurance reasons). ERA5-Land benefits from numerous improvements, making it more accurate for all types of land applications than the original ERA5. Specifically, ERA5-Land runs at an enhanced resolution (~9 km vs. ~31 km in ERA5). MethodThe code attached to this DOI performs the bias-adjustment on the raw simulations to create the ESPO-G6 v1.0.0 ensemble. First, each simulation is regridded with a bilinear interpolation in cascades onto the ERA5-Land reference grid. Then, they are adjusted following the Detrended Quantile Mapping procedure. The adjustment is performed on tasmax, pr and dtr (daily temperature range). tasmin is reconstructed from tasmax and dtr. The three variables are then assembled to create the official timeseries. The code also contains extra tasks. It computes diagnostics, indicators, climatology, deltas and ensemble statistics. Code and data availabilityAt the time of publication, the data is stored on Ouranos THREDDS, a part of the PAVICS project: https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/catalog/datasets/simulations/bias_adjusted/cmip6/ouranos/ESPO-G/ESPO-G6v1.0.0/catalog.html This version of the code: https://github.com/Ouranosinc/ESPO-G/releases/tag/v1.0.0The github repository: https://github.com/Ouranosinc/ESPO-G