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A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds

The Hydrometeorological Sandbox - École de technologie supérieure (HYSETS) is a rich, comprehensive and large-scale database for hydrological modelling covering 14425 watersheds in North America. The database includes data covering the period 1950–2018 depending on the type and source of data. The d...

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Autores principales: Arsenault, Richard, Brissette, François, Martel, Jean-Luc, Troin, Magali, Lévesque, Guillaume, Davidson-Chaput, Jonathan, Gonzalez, Mariana Castañeda, Ameli, Ali, Poulin, Annie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371877/
https://www.ncbi.nlm.nih.gov/pubmed/32686687
http://dx.doi.org/10.1038/s41597-020-00583-2
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author Arsenault, Richard
Brissette, François
Martel, Jean-Luc
Troin, Magali
Lévesque, Guillaume
Davidson-Chaput, Jonathan
Gonzalez, Mariana Castañeda
Ameli, Ali
Poulin, Annie
author_facet Arsenault, Richard
Brissette, François
Martel, Jean-Luc
Troin, Magali
Lévesque, Guillaume
Davidson-Chaput, Jonathan
Gonzalez, Mariana Castañeda
Ameli, Ali
Poulin, Annie
author_sort Arsenault, Richard
collection PubMed
description The Hydrometeorological Sandbox - École de technologie supérieure (HYSETS) is a rich, comprehensive and large-scale database for hydrological modelling covering 14425 watersheds in North America. The database includes data covering the period 1950–2018 depending on the type and source of data. The data include a wide array of hydrometeorological data required to perform hydrological and climate change impact studies: (1) watershed properties including boundaries, area, elevation slope, land use and other physiographic information; (2) hydrometric gauging station discharge time-series; (3) precipitation, maximum and minimum daily air temperature time-series from weather station records and from (4) the SCDNA infilled gauge meteorological dataset; (5) the NRCan and Livneh gridded interpolated products’ meteorological data; (6) ERA5 and ERA5-Land reanalysis data; and (7) the SNODAS and ERA5-Land snow water equivalent estimates. All data have been processed and averaged at the watershed scale, and provides a solid basis for hydrological modelling, climate change impact studies, model calibration assessment, regionalization method evaluation and essentially any study requiring access to large amounts of spatiotemporally varied hydrometeorological data.
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spelling pubmed-73718772020-07-22 A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds Arsenault, Richard Brissette, François Martel, Jean-Luc Troin, Magali Lévesque, Guillaume Davidson-Chaput, Jonathan Gonzalez, Mariana Castañeda Ameli, Ali Poulin, Annie Sci Data Data Descriptor The Hydrometeorological Sandbox - École de technologie supérieure (HYSETS) is a rich, comprehensive and large-scale database for hydrological modelling covering 14425 watersheds in North America. The database includes data covering the period 1950–2018 depending on the type and source of data. The data include a wide array of hydrometeorological data required to perform hydrological and climate change impact studies: (1) watershed properties including boundaries, area, elevation slope, land use and other physiographic information; (2) hydrometric gauging station discharge time-series; (3) precipitation, maximum and minimum daily air temperature time-series from weather station records and from (4) the SCDNA infilled gauge meteorological dataset; (5) the NRCan and Livneh gridded interpolated products’ meteorological data; (6) ERA5 and ERA5-Land reanalysis data; and (7) the SNODAS and ERA5-Land snow water equivalent estimates. All data have been processed and averaged at the watershed scale, and provides a solid basis for hydrological modelling, climate change impact studies, model calibration assessment, regionalization method evaluation and essentially any study requiring access to large amounts of spatiotemporally varied hydrometeorological data. Nature Publishing Group UK 2020-07-20 /pmc/articles/PMC7371877/ /pubmed/32686687 http://dx.doi.org/10.1038/s41597-020-00583-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Arsenault, Richard
Brissette, François
Martel, Jean-Luc
Troin, Magali
Lévesque, Guillaume
Davidson-Chaput, Jonathan
Gonzalez, Mariana Castañeda
Ameli, Ali
Poulin, Annie
A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
title A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
title_full A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
title_fullStr A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
title_full_unstemmed A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
title_short A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
title_sort comprehensive, multisource database for hydrometeorological modeling of 14,425 north american watersheds
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371877/
https://www.ncbi.nlm.nih.gov/pubmed/32686687
http://dx.doi.org/10.1038/s41597-020-00583-2
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