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

Pan, Shufen; Pan, Naiqing; Tian, Hanqin; Friedlingstein, Pierre; Sitch, Stephen; Shi, Hao; Arora, Vivek K.; Haverd, Vanessa; Jain, Atul K.; Kato, Etsushi; Lienert, Sebastian; Lombardozzi, Danica; Nabel, Julia E. M. S.; Ottlé, Catherine; Poulter, Benjamin; Zaehle, Sönke; Running, Steven W.

doi:https://doi.org/10.5194/hess-24-1485-2020

Articles | Volume 24, issue 3

https://doi.org/10.5194/hess-24-1485-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-1485-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 3

Research article

|

31 Mar 2020

Research article |

| 31 Mar 2020

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, and Steven W. Running

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Final revised paper (published on 31 Mar 2020)
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Preprint (discussion started on 21 Aug 2019)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of Pan et al', Anonymous Referee #1, 10 Sep 2019
- AC1: 'Reply to the comments of Reviewer #1', Naiqing Pan, 10 Nov 2019
RC2: 'Reviewer comments for "Evaluation of global terrestrial evapotranspiration by state-of-the-art approaches in remote sensing, machine learning, and land surface models".', Anonymous Referee #2, 12 Sep 2019
- AC2: 'Reply to the comments of Reviewer #2', Naiqing Pan, 10 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to revisions (further review by editor and referees) (11 Dec 2019) by Pierre Gentine

AR by Naiqing Pan on behalf of the Authors (22 Jan 2020) Author's response Manuscript

ED: Publish as is (27 Jan 2020) by Pierre Gentine

AR by Naiqing Pan on behalf of the Authors (31 Jan 2020) Manuscript

Short summary

Evapotranspiration (ET) links global water, carbon and energy cycles. We used 4 remote sensing models, 2 machine-learning algorithms and 14 land surface models to analyze the changes in global terrestrial ET. These three categories of approaches agreed well in terms of ET intensity. For 1982–2011, all models showed that Earth greening enhanced terrestrial ET. The small interannual variability of global terrestrial ET suggests it has a potential planetary boundary of around 600 mm yr^-1.