@article{Pan_2020,
title={Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing,
machine learning and land surface modeling},
volume={24},
ISSN={1607-7938},
url={http://dx.doi.org/10.5194/hess-24-1485-2020},
DOI={10.5194/hess-24-1485-2020},
number={3},
journal={Hydrology and Earth System Sciences},
publisher={Copernicus GmbH},
author={Pan,
Shufen and Pan,
Naiqing and Tian,
Hanqin and Friedlingstein,
Pierre and Sitch,
Stephen and Shi,
Hao and Arora,
Vivek K. and Haverd,
Vanessa and Jain,
Atul K. and Kato,
Etsushi and Lienert,
Sebastian and Lombardozzi,
Danica and Nabel,
Julia E. M. S. and Ottlé,
Catherine and Poulter,
Benjamin and Zaehle,
Sönke and Running,
Steven W.},
year={2020},
month=mar,
pages={1485–1509} }