The fate of land evaporation – a global dataset

Link, Andreas; van der Ent, Ruud; Berger, Markus; Eisner, Stephanie; Finkbeiner, Matthias

doi:https://doi.org/10.5194/essd-12-1897-2020

Articles | Volume 12, issue 3

https://doi.org/10.5194/essd-12-1897-2020

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

https://doi.org/10.5194/essd-12-1897-2020

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

Articles | Volume 12, issue 3

Data description paper

|

27 Aug 2020

Data description paper |

| 27 Aug 2020

The fate of land evaporation – a global dataset

Andreas Link, Ruud van der Ent, Markus Berger, Stephanie Eisner, and Matthias Finkbeiner

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Final revised paper (published on 27 Aug 2020)
Supplement to the final revised paper
Preprint (discussion started on 27 Jan 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Regarding the 2-layer specification and other assumptions of the model', Anonymous Referee #1, 16 Mar 2020
RC2: 'Regarding the input for the WAM-2layers and comparison with QIBT', Anonymous Referee #2, 26 Apr 2020
AC1: 'Author’s reply to anonymous referees', Andreas Link, 23 May 2020

Peer-review completion

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

AR by Andreas Link on behalf of the Authors (17 Jun 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jun 2020) by Scott Stevens

RR by Anonymous Referee #3 (19 Jul 2020)

ED: Publish as is (19 Jul 2020) by Scott Stevens

AR by Andreas Link on behalf of the Authors (21 Jul 2020) Manuscript

Short summary

This work provides a global dataset on the fate of land evaporation for a fine-meshed grid of source and receptor cells. The dataset was created through a global run of the numerical moisture-tracking model WAM-2layers. The dataset could be used for investigations into average annual, seasonal, and interannual sink and source regions of atmospheric moisture from land masses for most of the regions in the world and comes with example scripts for the readout and plotting of the data.