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Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling

  • Shufen Pan
  • , Naiqing Pan
  • , Hanqin Tian
  • , Pierre Friedlingstein
  • , Stephen Sitch
  • , Hao Shi
  • , Vivek K. Arora
  • , Vanessa Haverd
  • , Atul K. Jain
  • , Etsushi Kato
  • , Sebastian Lienert
  • , Danica Lombardozzi
  • , Julia E.M.S. Nabel
  • , Catherine Ottlé
  • , Benjamin Poulter
  • , Sönke Zaehle
  • , Steven W. Running
  • Auburn University
  • CAS - Research Center for Eco-Environmental Sciences
  • University of Exeter
  • University of Victoria BC
  • CSIRO
  • University of Illinois at Urbana-Champaign
  • The Institute of Applied Energy
  • University of Bern
  • National Center for Atmospheric Research
  • Max Planck Institute for Meteorology
  • Laboratoire des Sciences du Climat et de l’Environnement
  • NASA Goddard Space Flight Center
  • Max Planck Institute for Biogeochemistry

Research output: Contribution to journal › Article › peer-review

310 Scopus citations

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Earth and Planetary Sciences