%0 Dataset
%T Long time series (2001-2018) of daily evapotranspiration in China generated based on SEBAL: Part 2
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/c50afcef-804b-4bdb-88fe-0b55c45cb30b
%W NCDC
%R 10.5281/zenodo.10803553
%A None
%A None
%K Daily;evapotranspiration;long time series;SEBAL model
%X The China SEBAL Evapotranspiration Dataset (SEBAL ET) characterizes the daily evapotranspiration of vegetation in China from 2001 to 2018 (in millimeters), with a spatial resolution of 1km × 1km and a temporal resolution of 1 day. The coordinate system is GCSWGS_1984. The product adopts the Land Surface Energy Balance Algorithm (SEBAL) and multi-source remote sensing data generation, including MOD43A1 surface albedo, MOD11A1 surface temperature, and MOD13 vegetation index (from NASA: https://ladsweb.modaps.eosdis.nasa.gov/search/ ）The meteorological data comes from GMAO（ https://gmao.gsfc.nasa.gov/research/highlights/2013-2015.php ）The input variables are aggregated and resampled to 1 km × 1km. EBAL ET can be used for multiple Earth science studies, particularly in global change, water resource management, and agricultural drought monitoring