Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West st., Montreal, Quebec, H3C 1K3, Canada.
Lasalle|NHC, 9620, Saint-Patrick st., LaSalle, Quebec, H8R 1R8, Canada.
Sci Data. 2020 Jul 20;7(1):243. doi: 10.1038/s41597-020-00583-2.
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.
水文学沙盒模型——高等技术学院(HYSETS)是一个丰富、全面和大规模的水文建模数据库,涵盖了北美的 14425 个流域。该数据库包含的数据涵盖了 1950 年至 2018 年的时间段,具体取决于数据的类型和来源。这些数据包括执行水文和气候变化影响研究所需的广泛的水文气象数据:(1)流域属性,包括边界、面积、海拔坡度、土地利用和其他地形信息;(2)水文测量站流量时间序列;(3)来自气象站记录和(4)SCDNA 插补气象数据集的降水、最高和最低日空气温度时间序列;(5)NRCan 和 Livneh 网格化插值产品的气象数据;(6)ERA5 和 ERA5-Land 再分析数据;以及(7)SNODAS 和 ERA5-Land 雪水当量估计。所有数据都已在流域尺度上进行了处理和平均化,为水文建模、气候变化影响研究、模型校准评估、区域化方法评估以及基本上任何需要访问大量时空变化的水文气象数据的研究提供了坚实的基础。