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The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins

dc.contributor.authorTang, Guoqiang
dc.contributor.authorClark, Martyn
dc.contributor.authorKnoben, Wouter
dc.contributor.authorLiu, Hongli
dc.contributor.authorGharari, Shervan
dc.contributor.authorArnal, Louise
dc.contributor.authorBeck, Hylke
dc.contributor.authorWood, Andrew W.
dc.contributor.authorNewman, Andrew J.
dc.contributor.authorPapalexiou, Simon Michael
dc.date.accessioned2023-10-06T04:32:34Z
dc.date.available2023-10-06T04:32:34Z
dc.date.issued2023
dc.description© 2023. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.description.abstractMeteorological forcing is a major source of uncertainty in hydrological modeling. The recent development of probabilistic large-domain meteorological data sets enables convenient uncertainty characterization, which however is rarely explored in large-domain research. This study analyzes how uncertainties in meteorological forcing data affect hydrological modeling in 289 representative cryosphere basins by forcing the Structure for Unifying Multiple Modeling Alternatives (SUMMA) and mizuRoute models with precipitation and air temperature ensembles from the Ensemble Meteorological Data set for Planet Earth (EM-Earth). EM-Earth probabilistic estimates are used in ensemble simulation for uncertainty analysis. The results reveal the magnitude, spatial distribution, and scale effect of uncertainties in meteorological, snow, runoff, soil water, and energy variables. There are three main findings. (a) The uncertainties in precipitation and temperature lead to substantial uncertainties in hydrological model outputs, some of which exceed 100% of the magnitude of the output variables themselves. (b) The uncertainties of different variables show distinct scale effects caused by spatial averaging or temporal averaging. (c) Precipitation uncertainties have the dominant impact for most basins and variables, while air temperature uncertainties are also nonnegligible, sometimes contributing more to modeling uncertainties than precipitation uncertainties. We find that three snow-related variables (snow water equivalent, snowfall amount, and snowfall fraction) can be used to estimate the impact of air temperature uncertainties for different model output variables. In summary, this study provides insight into the impact of probabilistic data sets on hydrological modeling and quantifies the uncertainties in cryosphere basin modeling that stem from the meteorological forcing data.en_US
dc.description.sponsorshipGlobal Water Futures Natural Sciences and Engineering Research Council of Canada. Grant Number: RGPIN-2019-06894en_US
dc.description.versionPeer Revieweden_US
dc.identifier.citationTang, G., Clark, M. P., Knoben, W. J. M., Liu, H., Gharari, S., Arnal, L., et al. (2023). The impact of meteorological forcing uncertainty on hydrological modeling: A global analysis of cryosphere basins. Water Resources Research, 59, e2022WR033767. https://doi.org/10.1029/2022WR033767en_US
dc.identifier.doi10.1029/2022WR033767
dc.identifier.urihttps://hdl.handle.net/10388/15121
dc.language.isoenen_US
dc.publisherWiley [Commercial Publisher], American Geophysical Union [Client Organisation]en_US
dc.rightsAttribution 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/*
dc.subjectMeteorological forcingen_US
dc.subjecthydrological modelingen_US
dc.subjectcryosphere basin modelingen_US
dc.subjectmizuRoute modelen_US
dc.subjectStructure for Unifying Multiple Modeling Alternatives (SUMMA) modelen_US
dc.titleThe Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basinsen_US
dc.typeArticleen_US

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