Preprints
https://doi.org/10.5194/egusphere-2025-4614
https://doi.org/10.5194/egusphere-2025-4614
20 Oct 2025
 | 20 Oct 2025
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

Technical note: Including non-evaporative fluxes enhances the accuracy of isotope-based soil evaporation estimates

Han Fu, Ming Gao, Huijie Li, Daniele Penna, Junming Liu, Bingcheng Si, and Wenxiu Zou

Abstract. Accurately estimating soil water evaporation is essential for quantifying terrestrial water and energy. Isotope-based methods are useful but often rely on steady-state (SS) soil water storage assumptions or non-steady-state (NSS) models that ignore non-evaporative fluxes (such as infiltration and transpiration), leading to mass balance errors. Here, we introduce a new framework, named ISONEVA (ISOtope based soil water evaporation estimation considers dynamic soil water storage and Non-EVAporative fluxes), adapted from lake evaporation models to account for both evaporative and non-evaporative fluxes in soils under dynamic soil water storage. Validation under virtual and field scenarios demonstrated that ISONEVA improved evaporation estimates by 54.1%–83.6% (virtual) and 54.5%–92.4% (field) compared to traditional SS and NSS models. Furthermore, ISONEVA estimated a plausible upper limit of the E/ET ratio (0.139), encompassing the observed value (0.126), whereas SS and NSS methods severely underestimated (0.037) or were unable to produce a limit under field validation. These results highlight the critical role of dynamic soil water storage and non-evaporative fluxes in isotope-based soil water evaporation estimates, offering a robust framework for long-term assessments and informing future coupled land surface modeling efforts.

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Han Fu, Ming Gao, Huijie Li, Daniele Penna, Junming Liu, Bingcheng Si, and Wenxiu Zou

Status: open (until 01 Dec 2025)

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Han Fu, Ming Gao, Huijie Li, Daniele Penna, Junming Liu, Bingcheng Si, and Wenxiu Zou

Model code and software

ISONEVA codes with virtual and field dataset Han Fu https://doi.org/10.5281/zenodo.17119369

Han Fu, Ming Gao, Huijie Li, Daniele Penna, Junming Liu, Bingcheng Si, and Wenxiu Zou

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Short summary
Understanding how much water evaporates from soil is important for managing land and water resources. We developed a new method, called ISONEVA, that tracks changes in soil water and other processes such as rainfall and plant water use. Tests with computer simulations and field data showed that ISONEVA estimates soil evaporation much more accurately than existing methods. This approach provides a stronger basis for predicting long-term water availability and guiding sustainable land management.
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