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
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 ）
1. Using multi-source images to generate long time series (2001-2018) based on surface energy balance algorithm for daily ET land area (SEBAL) with a spatial resolution of 1 km × 1 km
2. Use flux observation data and hydrological observation data to comprehensively evaluate the performance data of China SEBAL ET
3. Compare the performance conditions of SEBAL ET and MOD16 ET products at point and watershed scales in different environments.
The product was subjected to point validation evaluation using observation data from 8 flux towers, and regional validation evaluation was conducted using water balance method. The results showed that the R values were 0.79 and 0.98, respectively, indicating that the product has good performance
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CSTR:11738.11.NCDC.ZENODO.DB6618.2024
10.5281/zenodo.10803553