%0 Dataset
%T CCAM:China Catchment Attributes and Meteorology dataset
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/15dc74da-78bb-4c6e-a61a-1f6a82b069e8
%W NCDC
%R 10.5281/zenodo.57294
%A Jin Jin
%K Chinese watersheds;meteorological data;evapotranspiration;land cover
%X This dataset is the first to provide meteorological time series and watershed attributes for Chinese watersheds. This dataset consists of all watershed boundaries exported 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, topography, and geology. This dataset also includes meteorological data for each watershed from 1990 to 2020 for a total of 31 yearsThe dataset consists of two parts: the Chinese watershed attributes and meteorological dataset, and the HydroMLYR. The first dataset provides daily meteorological time series and over 120 attributes for Chinese watersheds. The daily meteorological time series includes precipitation, temperature, evapotranspiration, wind speed, surface temperature, atmospheric pressure, humidity, sunshine hours, and potential evapotranspiration. The attributes of a watershed include terrain, climate, hydrology, land cover, geology, and soil. The HydroMLYR (Yellow River Basin Machine Learning Hydrological Dataset) includes daily meteorological time series, standardized weekly average flow, and over 120 attributes from 102 catchment areas.