Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model

Abstract This dataset contains outputs from a calibrated version of the GEM-Hydro model developed at Environment and Climate Change Canada (ECCC) and is available on the Federated Research Data Repository. The dataset covers the basins of the Laurentian Great Lakes and the Ottawa River and extends o...

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Main Authors: Étienne Gaborit, Juliane Mai, Daniel Princz, Hongren Shen, Vincent Vionnet, Bryan Tolson, Vincent Fortin
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-04409-x
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author Étienne Gaborit
Juliane Mai
Daniel Princz
Hongren Shen
Vincent Vionnet
Bryan Tolson
Vincent Fortin
author_facet Étienne Gaborit
Juliane Mai
Daniel Princz
Hongren Shen
Vincent Vionnet
Bryan Tolson
Vincent Fortin
author_sort Étienne Gaborit
collection DOAJ
description Abstract This dataset contains outputs from a calibrated version of the GEM-Hydro model developed at Environment and Climate Change Canada (ECCC) and is available on the Federated Research Data Repository. The dataset covers the basins of the Laurentian Great Lakes and the Ottawa River and extends over the period 2001–2018. The data consist of all variables (hourly fluxes and state variables) related to the water balance of GEM-Hydro’s land-surface scheme (including precipitation, surface and sub-surface runoff, drainage, evaporation, snow water equivalent, soil moisture…) and mean daily streamflow at 212 gauge locations. These outputs were simulated with a calibrated version of the GEM-Hydro model that was run in open-loop mode (no assimilation) and driven with atmospheric forcings coming from ECCC’s Canadian Surface Reanalysis version 2.1. GEM-Hydro achieves satisfactory simulations of various hydrologic variables when compared to reference datasets. This dataset can be used for example to drive any routing model, compute climatologies or statistics for different hydrologic variables and study their variability as a function of the local geo-morphology, etc.
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institution Kabale University
issn 2052-4463
language English
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spelling doaj-art-7f130182068e458f841b2b7344b858e02025-01-26T12:14:39ZengNature PortfolioScientific Data2052-44632025-01-0112112710.1038/s41597-025-04409-xHydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro modelÉtienne Gaborit0Juliane Mai1Daniel Princz2Hongren Shen3Vincent Vionnet4Bryan Tolson5Vincent Fortin6Meteorological Research Division, Environment and Climate Change CanadaDepartment of Earth and Environmental Science, University of WaterlooNational Hydrologic Services, Environment and Climate Change CanadaDepartment of Civil and Environmental Engineering, University of WaterlooMeteorological Research Division, Environment and Climate Change CanadaDepartment of Civil and Environmental Engineering, University of WaterlooMeteorological Research Division, Environment and Climate Change CanadaAbstract This dataset contains outputs from a calibrated version of the GEM-Hydro model developed at Environment and Climate Change Canada (ECCC) and is available on the Federated Research Data Repository. The dataset covers the basins of the Laurentian Great Lakes and the Ottawa River and extends over the period 2001–2018. The data consist of all variables (hourly fluxes and state variables) related to the water balance of GEM-Hydro’s land-surface scheme (including precipitation, surface and sub-surface runoff, drainage, evaporation, snow water equivalent, soil moisture…) and mean daily streamflow at 212 gauge locations. These outputs were simulated with a calibrated version of the GEM-Hydro model that was run in open-loop mode (no assimilation) and driven with atmospheric forcings coming from ECCC’s Canadian Surface Reanalysis version 2.1. GEM-Hydro achieves satisfactory simulations of various hydrologic variables when compared to reference datasets. This dataset can be used for example to drive any routing model, compute climatologies or statistics for different hydrologic variables and study their variability as a function of the local geo-morphology, etc.https://doi.org/10.1038/s41597-025-04409-x
spellingShingle Étienne Gaborit
Juliane Mai
Daniel Princz
Hongren Shen
Vincent Vionnet
Bryan Tolson
Vincent Fortin
Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
Scientific Data
title Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
title_full Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
title_fullStr Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
title_full_unstemmed Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
title_short Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model
title_sort hydrologic outputs generated over the great lakes with a calibrated version of the gem hydro model
url https://doi.org/10.1038/s41597-025-04409-x
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