Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-197-2017
https://doi.org/10.5194/hess-21-197-2017
Research article
 | 
11 Jan 2017
Research article |  | 11 Jan 2017

Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach

Loise Wandera, Kaniska Mallick, Gerard Kiely, Olivier Roupsard, Matthias Peichl, and Vincenzo Magliulo

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (20 Oct 2016) by Miriam Coenders-Gerrits
AR by Kaniska Mallick on behalf of the Authors (30 Nov 2016)  Author's response    Manuscript
ED: Publish as is (01 Dec 2016) by Miriam Coenders-Gerrits
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Short summary
Upscaling instantaneous to daily evapotranspiration (ETi–ETd) is one of the central challenges in regional vegetation water-use mapping using polar orbiting satellites. Here we developed a robust ETi upscaling for global studies using the ratio between daily and instantaneous global radiation (RSd/RSi). Using data from 126 FLUXNET tower sites, this study demonstrated the RSd/RSi ratio to be the most robust factor explaining ETd/ETi variability across variable sky conditions and multiple biomes.