In this section
@article{Hassan:2026:10.5194/hess-30-317-2026,
author = {Hassan, A and Prentice, IC and Liang, X},
doi = {10.5194/hess-30-317-2026},
journal = {Hydrology and Earth System Sciences},
pages = {317--341},
title = {Insights into evapotranspiration partitioning based on hydrological observations using the generalized proportionality hypothesis},
url = {http://dx.doi.org/10.5194/hess-30-317-2026},
volume = {30},
year = {2026}
}
TY - JOUR
AB - <jats:p>Abstract. Evapotranspiration comprises transpiration, soil evaporation, and interception. The partitioning of evapotranspiration is challenging due to the lack of direct measurements and uncertainty of existing evapotranspiration partitioning methods. We propose a novel method to estimate long-term mean transpiration to evapotranspiration (Et/E) ratios based on the generalized proportionality hypothesis using long-term mean hydrological observations at the watershed scale. We tested the method using 648 watersheds in the United States classified into six vegetation types. We mitigated impacts of the variability associated with different Ep data products by rescaling their original Ep values using the product E/Ep ratios in combination with the observed E calculated from watershed water balance. With Ep thus rescaled, our method produced consistent Et/E across six widely used Ep products. Shrubs (0.33) and grasslands (0.32) showed lower mean Et/E than croplands (0.48) and forests (respectively 0.69, 0.60, and 0.70 for evergreen needleleaf, deciduous broadleaf, and mixed forests). Et/E showed significant dependence on aridity, leaf area index, and other hydrological and environmental conditions. Using Et/E estimates, we calculated transpiration to precipitation ratios (Et/P) ratios and revealed a bell-shaped curve at the watershed scale, which conformed to the bell-shaped relationship with the aridity index (AI) observed at the field and remote-sensing scales (Good et al., 2017). This relationship peaked at an Et/P between 0.5 and 0.6, corresponding to an AI between 2 and 3 depending on the Ep dataset used. These results strengthen our understanding of the interactions between plants and water and provide a new perspective on a long-standing challenge for hydrology and ecosystem science.</jats:p>
AU - Hassan,A
AU - Prentice,IC
AU - Liang,X
DO - 10.5194/hess-30-317-2026
EP - 341
PY - 2026///
SP - 317
TI - Insights into evapotranspiration partitioning based on hydrological observations using the generalized proportionality hypothesis
T2 - Hydrology and Earth System Sciences
UR - http://dx.doi.org/10.5194/hess-30-317-2026
UR - https://doi.org/10.5194/hess-30-317-2026
VL - 30
ER -
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