Field
Value
Language
dc.contributor.author
Ahmed, Mohamed Ismaiel
datacite.creator.affiliationIdentifier
https://ror.org/03yjb2x39
en_US
datacite.creator.affiliation
University of Calgary
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-3423-7041
en_US
dc.contributor.author
Stadnyk, Tricia
datacite.creator.affiliationIdentifier
https://ror.org/03yjb2x39
en_US
datacite.creator.affiliation
University of Calgary
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-2145-4963
en_US
dc.contributor.author
Pietroniro, Alain
datacite.creator.affiliationIdentifier
https://ror.org/03yjb2x39
en_US
datacite.creator.affiliation
University of Calgary
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-5792-9177
en_US
dc.contributor.author
Mai, Juliane
datacite.creator.affiliationIdentifier
https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-1132-2342
en_US
dc.contributor.author
Tolson, Bryan
datacite.creator.affiliationIdentifier
https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-3092-5536
en_US
dc.contributor.author
Shen, Hongren
datacite.creator.affiliationIdentifier
https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-5979-2159
en_US
dc.contributor.author
Craig, James R.
datacite.creator.affiliationIdentifier
https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-2715-7166
en_US
dc.contributor.author
Taheri, Mahkameh
datacite.creator.affiliationIdentifier
https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-0604-5982
en_US
dc.coverage.temporal
2000-01-01/2017-12-31
dc.date.accessioned
2024-03-11T17:21:07Z
dc.date.available
2024-03-11T17:21:07Z
dc.date.issued
2024-03-11
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/86a3d2f4-8116-4acf-af8f-6334c8e34c10
dc.identifier.uri
https://doi.org/10.20383/103.0913
dc.description
Intercomparison studies have evaluated the utility and constraints of existing hydrological and climate models worldwide. While some of these hydrological studies focused on cold Northern latitude regions, the initial phase of the Nelson Churchill River Basin (NCRB) Model Intercomparison Project (Nelson-MIP) was the sole effort to examine unregulated watersheds in this transboundary basin in Southwestern Canada and Northwestern United States. Thus far, there remains a lack of clarity regarding the performance of various models in regulated watersheds around the globe and specifically within this complex region.
Therefore, the primary aim of this study, constituting the second phase of the Nelson-MIP project, is to assess the performance of hydrological models in both regulated and unregulated watersheds within the NCRB, an area characterized by 95 reservoirs and managed lakes, numerous diversions and irrigation withdrawals, and significant areas of the North American Prairie region with millions of unmanaged lake and wetland systems. Four hydrological models contribute to this phase and are setup using standardized input datasets to facilitate accurate comparisons. The performance of the models is evaluated against streamflow, actual evapotranspiration (AET), and snow water equivalent (SWE) simulations. Results reveal that two models exhibit diminished streamflow performance across the Prairie region in comparison to the broader NCRB. While AET and SWE simulations were generally accurate across the entire NCRB, one model encounters challenges in replicating AET patterns across the Prairies, a factor not reflected in the streamflow evaluation. This investigation highlights structural limitations within the participating models, particularly their insufficient representation of flow regulation and contributing area dynamics, which underscores the need for future enhancements. Moreover, this study underscores the complexities involved in conducting large-scale intercomparison studies and offers strategies for addressing these challenges in future research endeavors.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
hydrological model intercomparison
en_US
dc.subject
Prairie pothole
en_US
dc.subject
streamflow
en_US
dc.subject
regulation
en_US
dc.subject
snow water equivalent
en_US
dc.subject
actual evapotranspiration
en_US
dc.subject
Nelson-MIP
en_US
dc.subject
Model Intercomparison Project (MIP)
en_US
dc.title
Navigating Hydrological Model Intercomparison Projects in Cold Regions: Unveiling Challenges, Insights, and Future Paths – A Case from Nelson-MIP II
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/published/publication_908/
datacite.publicationyear
2024
datacite.date.Collected
2021-01-01/2024-01-31
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.Cites
https://doi.org/10.20383/102.0705
datacite.geolocation.geolocationBox
45.4695833330000809 -117.4199999999999307 59.5354166670000211 -89.8599999999999426
datacite.geolocation.geolocationPlace
Nelson-Churchill River Basin;-;-;Canada
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Global Water Futures
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
en_US
frdr.crdc.code
RDF1050702
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Hydrology
en_US
frdr.crdc.field_en
Physical and catchment hydrology
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Hydrologie
fr_CA
frdr.crdc.field_fr
Hydrologie physique et de captage
fr_CA
datacite.description.other
Detailed information about the different files or datasets is available in the README file.
en_US