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 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

Scientific data - 7(2020), 1 vom: 20. Juli, Seite 243

Sprache:

Englisch

Beteiligte Personen:

Arsenault, Richard [VerfasserIn]
Brissette, François [VerfasserIn]
Martel, Jean-Luc [VerfasserIn]
Troin, Magali [VerfasserIn]
Lévesque, Guillaume [VerfasserIn]
Davidson-Chaput, Jonathan [VerfasserIn]
Gonzalez, Mariana Castañeda [VerfasserIn]
Ameli, Ali [VerfasserIn]
Poulin, Annie [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 08.01.2021

Date Revised 17.02.2021

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1038/s41597-020-00583-2

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM312630220