%0 Dataset
%T CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/23ee4db3-6e9c-4e8f-af4a-5404ee1bd548
%W NCDC
%R 10.5281/zenodo.8047038
%A Yang Hanbo
%K CAMELE;multi-source;land evapotranspiration (ET)
%X Land evapotranspiration (ET) plays a crucial role in the Earth's water carbon cycle, and accurate estimation of global land evapotranspiration is essential for advancing our understanding of land atmosphere interactions. Although many evapotranspiration products have been developed in recent decades, the widely used products still have inherent uncertainties due to the use of different forced inputs and imperfect model parameters. In addition, due to the lack of sufficient global in-situ observation data, it is not realistic to directly evaluate evapotranspiration products, which hinders their utilization and assimilation. Therefore, it is crucial to establish a reliable global benchmark dataset and explore evaluation methods for evapotranspiration products.  The aim of this study is to address these challenges through the following methods: (1) proposing an alignment based approach that considers non-zero error cross-correlation during multi-source data merging; (2) Using this merging method, long-term global daily evapotranspiration products with resolutions of 0.1 ° (2000-2020) and 0.25 ° (1980-2022) were generated and included as inputs for ERA5L, FluxCom, PMLv2, GLDAS, and GLEAM. The resulting product is CAMELE, a multi-source collection of land evapotranspiration data for location analysis.