Preprints
https://doi.org/10.5194/hess-2017-682
https://doi.org/10.5194/hess-2017-682
12 Feb 2018
 | 12 Feb 2018
Status: this preprint was under review for the journal HESS but the revision was not accepted.

Potential evaporation at eddy-covariance sites across the globe

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

Abstract. Potential evaporation (Ep) is a crucial variable for hydrological forecast and in drought monitoring systems. However, multiple interpretations of Ep exist, and these reflect a diverse range of methods to calculate Ep. As such, a comparison of the performance of these methods against field observations in different global ecosystems is badly needed. In this study, we used eddy-covariance measurements from 107 sites of the FLUXNET2015 database, covering 11 different biomes, to parameterize and compare the main Ep methods and uncover their relative performance. For each site, we extracted the days for which ecosystems are unstressed based on both an energy balance approach and on a soil water content approach. The evaporation measurements during these days were used as reference to validate the different methods to estimate Ep. Our results indicate that a simple radiation-driven method calibrated per biome consistently performed best, with a mean correlation of 0.93, an unbiased RMSE of 0.56 mm day−1, and a bias of −0.02 mm day−1 against in situ measurements of unstressed evaporation. A Priestley and Taylor method, calibrated per biome, performed just slightly worse, yet substantially and consistently better than more complex Penman, Penman-Monteith-based or temperature-based approaches. We show that the poor performance of Penman-Monteith based approaches relates largely to the fact that the unstressed stomatal conductance was assumed constant. Further analysis showed that the biome-specific parameters required for the simple radiation-driven methods are relatively constant per biome. This makes this simple radiation-driven method calibrated per biome a robust method that can be incorporated into models for improving our understanding of the impact of global warming on future global water use and demand, drought severity and ecosystem productivity.

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Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles

Data sets

Sample code and sample dataset W. H. Maes, P. Gentine, N. E. C. Verhoest, and D. G. Miralles https://doi.org/10.5281/zenodo.1169909

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

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Latest update: 20 Nov 2024
Short summary
Potential evaporation is a key parameter in numerous models used for assessing water use and drought severity. Yet, multiple incompatible methods have been proposed, thus estimates of potential evaporation remain uncertain. Based on the largest available dataset of FLUXNET data, we identify the best method to calculate potential evaporation globally. A simple radiation-driven method calibrated per biome consistently performed best; more complex models did not perform as good.