This dataset is the first to provide meteorological time series and basin attributes for Chinese river basins. This dataset consists of all watershed boundaries derived from the Digital Elevation Model (DEM), which is a global watershed dataset. GDBD is exported with high resolution (100 m-1 km) and has good geographical consistency with existing global watershed data in China. It compiles different data sources, including soil, land cover, climate, terrain, and geology. This dataset also includes 31 years of meteorological data for each watershed from 1990 to 2020.
The dataset consists of two parts: the Chinese Basin Attributes and Meteorological Dataset and HydroMLYR. The first dataset provides daily meteorological time series and over 120 attributes for Chinese river basins. The daily meteorological time series includes precipitation, temperature, evapotranspiration, wind speed, surface temperature, air pressure, humidity, sunshine hours, and potential evapotranspiration. Watershed attributes include terrain, climate, hydrology, land cover, geology, and soil properties. HydroMLYR (Yellow River Basin Machine Learning Hydrological Dataset) includes daily meteorological time series, standardized weekly average flow, and over 120 attributes for 102 catchment areas.
Data sourced from Zenodo website https://zenodo.org/records/5729444
Compile different data sources, including soil, land cover, climate, terrain, and geology, to develop a dataset. Derive potential evapotranspiration time series for each watershed based on Penman equation.
The data quality is good.
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CSTR:11738.11.NCDC.ZENODO.DB4093.2023
10.5281/zenodo.57294