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.Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling
Download
- Final revised paper (published on 31 Mar 2020)
- Supplement to the final revised paper
- Preprint (discussion started on 21 Aug 2019)
- Supplement to the preprint
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
![Printer-friendly Version](https://www.hydrology-and-earth-system-sciences.net/print.gif)
![Supplement](https://www.hydrology-and-earth-system-sciences.net/supplement.gif)
-
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
-
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
-
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
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)
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
![](https://www.hydrology-and-earth-system-sciences.net/graphic_grey_open_symbol_running_text.jpg)