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.
Highlights
Background & SummaryAdequate water resources management is an essential component of socioeconomic security and development
A net decline in the number of weather and gauging stations has been observed around the world[2]
An answer to the problems of monitoring networks has been a steady move towards gridded datasets
Summary
Adequate water resources management is an essential component of socioeconomic security and development. The Total Quality Control saying ‘You can’t manage what you don’t measure’ applies perfectly to water resources management Despite this understanding, a net decline in the number of weather and gauging stations has been observed around the world[2]. Relevant databases for water resources management need to provide catchment-based hydrometeorological data as well as relevant physiographic variables. The CAMELS framework for the US12 which was extended to Great-Britain[18] and Chili[19], as well as the CANOPEX database in Canada[20] are examples of such efforts These databases, contain a relatively modest number of watersheds (
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