Potential Added Value of Incorporating Human Water Use on the Simulation of Evapotranspiration and Precipitation in a Continental-Scale Bedrock-to-Atmosphere Modeling System: A Validation Study Considering Observational Uncertainty
DOI: https://doi.org/10.1029/2019MS001657
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9451
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9451
Keune, J.; Sulis, M.; Kollet, S. J., 2019: Potential Added Value of Incorporating Human Water Use on the Simulation of Evapotranspiration and Precipitation in a Continental-Scale Bedrock-to-Atmosphere Modeling System: A Validation Study Considering Observational Uncertainty. In: Journal of Advances in Modeling Earth Systems, Band 11, 7: 1959 - 1980, DOI: 10.1029/2019MS001657.
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Human activities, such as human water use, have been shown to directly influence terrestrial water fluxes and states. Simulations of soil moisture, river discharge, evapotranspiration, and groundwater storage are significantly improved, if human interactions, such as irrigation and groundwater abstraction, are incorporated. Yet improvements through the incorporation of human water use on the simulation of local and remote precipitation are rarely studied but may contribute to the skill of land surface fluxes. In this study, we evaluate the impact of human water use on the skill of evapotranspiration and precipitation in a fully coupled bedrock-to-atmosphere modeling platform. The results show that human water use can potentially increase the skill of the simulations across scales. However, observational uncertainty at the watershed scale limits the identification of model deficiencies and added value related to human water use. Locally, daily precipitation statistics potentially benefit from the incorporation of human water use. Although the incorporation of human water use does not remove the wet bias, it can increase the model skill.
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- Geographie, Hydrologie [454]
Subjects:
added valuehuman water use
precipitation
integrated modeling
evapotranspiration
observational uncertainty
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