A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds. Arsenault, R., Brissette, F., Martel, J., Troin, M., Lévesque, G., Davidson-Chaput, J., Gonzalez, M. C., Ameli, A., & Poulin, A. Scientific Data, 7(1):243, July, 2020. ISBN: 4159702000583![A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{arsenault_comprehensive_2020,
title = {A comprehensive, multisource database for hydrometeorological modeling of 14,425 {North} {American} watersheds},
volume = {7},
issn = {2052-4463},
url = {https://www.nature.com/articles/s41597-020-00583-2},
doi = {10.1038/s41597-020-00583-2},
abstract = {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.},
number = {1},
journal = {Scientific Data},
author = {Arsenault, Richard and Brissette, François and Martel, Jean-Luc and Troin, Magali and Lévesque, Guillaume and Davidson-Chaput, Jonathan and Gonzalez, Mariana Castañeda and Ameli, Ali and Poulin, Annie},
month = jul,
year = {2020},
pmid = {32686687},
note = {ISBN: 4159702000583},
keywords = {NALCMS},
pages = {243},
}
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