Pan, S., International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36832, United States; Pan, N., International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36832, United States, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Tian, H., International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36832, United States; Friedlingstein, P., College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, United Kingdom; Sitch, S., College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, United Kingdom; Shi, H., International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36832, United States; Arora, V.K., Canadian Centre for Climate Modelling and Analysis, Environment Canada, University of Victoria, Victoria, BC V8W 2Y2, Canada; Haverd, V., CSIRO Oceans and Atmosphere, GPO Box 1700, Canberra, ACT 2601, Australia; Jain, A.K., Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801, United States; Kato, E., Institute of Applied Energy (IAE), Minato-ku, Tokyo, 105-0003, Japan; Lienert, S., Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland; Lombardozzi, D., Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305, United States; Nabel, J.E.M.S., Max Planck Institute for Meteorology, Bundesstr. 53, Hamburg, 20146, Germany; Ottlé, C., LSCE-IPSL-CNRS, Orme des Merisiers, Gif-sur-Yvette, 91191, France; Poulter, B., NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, United States; Zaehle, S., Max Planck Institute for Biogeochemistry, P.O. Box 600164, Hans-Knöll-Str. 10, Jena, 07745, Germany; Running, S.W., Numerical Terradynamic Simulation Group, College of Forestry and Conservation, University of Montana, Missoula, MT 59812, United States
Recommended Citation:
Pan S.,Pan N.,Tian H.,et al. Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing; machine learning and land surface modeling[J]. Hydrology and Earth System Sciences,2020-01-01,24(3)