Articles | Volume 19, issue 2
https://doi.org/10.5194/hess-19-997-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-997-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Sensitivity of potential evaporation estimates to 100 years of climate variability
R. P. Bartholomeus
CORRESPONDING AUTHOR
KWR Watercycle Research Institute, P.O. Box 1072, 3430 BB Nieuwegein, the Netherlands
J. H. Stagge
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
L. M. Tallaksen
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
J. P. M. Witte
KWR Watercycle Research Institute, P.O. Box 1072, 3430 BB Nieuwegein, the Netherlands
VU University, Institute of Ecological Science, Department of Systems Ecology, de Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
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- Use of very high resolution climate model data for hydrological modelling: estimation of potential evaporation A. Rudd & A. Kay https://doi.org/10.2166/nh.2015.028
- Physical and Chemical Characteristics of Dew and Rain in North-West Africa with Focus on Morocco: Mapping Past and Future Evolution (2005–2100) M. Muselli et al. https://doi.org/10.3390/atmos13121974
- Sensitivity and uncertainty of baseflow and discharge simulations using WetSpass-M in the Akaki catchment, central highlands of Ethiopia G. Nigussie et al. https://doi.org/10.1016/j.watcyc.2026.03.007
- Simulating future salinity dynamics in a coastal marshland under different climate scenarios J. Eberhard et al. https://doi.org/10.1002/vzj2.20008
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- Effect of increasing conceptual model detail on simulated crop yield-drainage base relations J. van den Brink et al. https://doi.org/10.1016/j.agwat.2026.110383
- FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics M. Speich et al. https://doi.org/10.5194/gmd-13-537-2020
- The effect of plant size and branch traits on rainfall interception of 10 temperate tree species S. Pflug et al. https://doi.org/10.1002/eco.2349
11 citations as recorded by crossref.
- Hydrological model uncertainty due to spatial evapotranspiration estimation methods X. Yu et al. https://doi.org/10.1016/j.cageo.2015.05.006
- Testing an optimality-based model of rooting zone water storage capacity in temperate forests M. Speich et al. https://doi.org/10.5194/hess-22-4097-2018
- Use of very high resolution climate model data for hydrological modelling: estimation of potential evaporation A. Rudd & A. Kay https://doi.org/10.2166/nh.2015.028
- Physical and Chemical Characteristics of Dew and Rain in North-West Africa with Focus on Morocco: Mapping Past and Future Evolution (2005–2100) M. Muselli et al. https://doi.org/10.3390/atmos13121974
- Sensitivity and uncertainty of baseflow and discharge simulations using WetSpass-M in the Akaki catchment, central highlands of Ethiopia G. Nigussie et al. https://doi.org/10.1016/j.watcyc.2026.03.007
- Simulating future salinity dynamics in a coastal marshland under different climate scenarios J. Eberhard et al. https://doi.org/10.1002/vzj2.20008
- Technical Note: A Device to Directly Measure Transpiration from Vegetation Grown in Containers S. Pflug et al. https://doi.org/10.3390/w12020355
- Natural Vegetation Area Design in an Arid Region Based on Water Resource Carrying Capacity—Taking Minqin County as an Example H. Zhang et al. https://doi.org/10.3390/w15183238
- Effect of increasing conceptual model detail on simulated crop yield-drainage base relations J. van den Brink et al. https://doi.org/10.1016/j.agwat.2026.110383
- FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics M. Speich et al. https://doi.org/10.5194/gmd-13-537-2020
- The effect of plant size and branch traits on rainfall interception of 10 temperate tree species S. Pflug et al. https://doi.org/10.1002/eco.2349
Saved (final revised paper)
Latest update: 24 Jun 2026
Short summary
We used the past century’s time series of observed climate, containing non-stationary signals of atmospheric oscillations, global warming, and global dimming/brightening, to quantify possible systematic errors that may be introduced in estimates of potential evaporation and in hydrological modeling studies due to straightforward application of i) the common two-step approach for potential evaporation specifically, and ii) fixed instead of time-variant model parameters in general.
We used the past century’s time series of observed climate, containing non-stationary signals...