Potential evaporation at eddy-covariance sites across the globe

Maes, Wouter H.; Gentine, Pierre; Verhoest, Niko E. C.; Miralles, Diego G.

doi:https://doi.org/10.5194/hess-23-925-2019

Articles | Volume 23, issue 2

https://doi.org/10.5194/hess-23-925-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-23-925-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 2

Research article

|

18 Feb 2019

Research article |

| 18 Feb 2019

Potential evaporation at eddy-covariance sites across the globe

Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles

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Final revised paper (published on 18 Feb 2019)
Supplement to the final revised paper
Preprint (discussion started on 25 Oct 2018)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'review of HESS-2018-470', Giovanni Ravazzani, 26 Nov 2018
- AC1: 'Response to comments by Referee 1', Wouter Maes, 13 Dec 2018
RC2: 'Review', Anonymous Referee #2, 06 Dec 2018
- AC2: 'Response to comments by Referee 2', Wouter Maes, 13 Dec 2018

Peer-review completion

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

ED: Publish subject to minor revisions (further review by editor) (23 Dec 2018) by Alberto Guadagnini

AR by Wouter Maes on behalf of the Authors (05 Jan 2019) Author's response Manuscript

ED: Publish as is (16 Jan 2019) by Alberto Guadagnini

AR by Wouter Maes on behalf of the Authors (27 Jan 2019)

Short summary

Potential evaporation (E_p) is the amount of water an ecosystem would consume if it were not limited by water availability or other stress factors. In this study, we compared several methods to estimate E_p using a global dataset of 107 FLUXNET sites. A simple radiation-driven method calibrated per biome consistently outperformed more complex approaches and makes a suitable tool to investigate the impact of water use and demand, drought severity and biome productivity.