Energy‐Water Asynchrony Principally Determines Water Available for Runoff From Snowmelt in Continental Montane Forests

dc.contributor.authorWebb, Ryan William
dc.contributor.authorKnowles, John F.
dc.contributor.authorFox, A. K.
dc.contributor.authorFabricus, Alex
dc.contributor.authorCorrie, Timothy D.
dc.contributor.authorMooney, Kori
dc.contributor.authorGallais, Jocelyn
dc.contributor.authorGyau Frimpong, Nana Afua
dc.contributor.authorAkurugu, Christopher A.
dc.contributor.authorBarron-Gafford, G.
dc.contributor.authorBlanken, Peter D.
dc.contributor.authorBurns, Sean P.
dc.contributor.authorFrank, J. M.
dc.contributor.authorLitvak, M. E.
dc.date.accessioned2025-03-06T18:50:58Z
dc.date.issued2024-10
dc.description.abstractChanges in the volume, rate, and timing of the snowmelt water pulse have profound implications for seasonal soil moisture, evapotranspiration (ET), groundwater recharge, and downstream water availability, especially in the context of climate change. Here, we present an empirical analysis of water available for runoff using five eddy covariance towers located in continental montane forests across a regional gradient of snow depth, precipitation seasonality, and aridity. We specifically investigated how energy-water asynchrony (i.e., snowmelt timing relative to atmospheric demand), surface water input intensity (rain and snowmelt), and observed winter ET (winter AET) impact multiple water balance metrics that determine water available for runoff (WAfR). Overall, we found that WAfR had the strongest relationship with energy-water asynchrony (adjusted r2 = 0.52) and that winter AET was correlated to total water year evapotranspiration but not to other water balance metrics. Stepwise regression analysis demonstrated that none of the tested mechanisms were strongly related to the Budyko-type runoff anomaly (highest adjusted r2 = 0.21). We, therefore, conclude that WAfR from continental montane forests is most sensitive to the degree of energy-water asynchrony that occurs. The results of this empirical study identify the physical mechanisms driving variability of WAfR in continental montane forests and are thus broadly relevant to the hydrologic management and modelling communities.
dc.identifier.citationWebb, R., Knowles, J., Fox, A., Fabricus, A., Corrie, T., Mooney, K., Gallais, J., Frimpong, N., Akurugu, C., Barron-Gafford, G., Blanken, P., Burns, S., Frank, J. and Litvak, M. (2024), Energy-Water Asynchrony Principally Determines Water Available for Runoff From Snowmelt in Continental Montane Forests. Hydrological Processes, 38: e15297. https://doi.org/10.1002/hyp.15297
dc.identifier.doi10.1002/hyp.15297
dc.identifier.issn0885-6087
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/19187
dc.language.isoen_US
dc.publisherWiley
dc.rightscc-by-nc-nd
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjecteddy covariance
dc.subjecthydrologic partitioning
dc.subjectmontane forest hydrology
dc.subjectsnow hydrology
dc.subjectwater available for runoff
dc.subjectwater balance
dc.titleEnergy‐Water Asynchrony Principally Determines Water Available for Runoff From Snowmelt in Continental Montane Forests
dc.typeArticle
mus.citation.extentfirstpage1
mus.citation.extentlastpage12
mus.citation.issue10
mus.citation.journaltitleHydrological Processes
mus.citation.volume38
mus.relation.collegeCollege of Agriculture
mus.relation.departmentLand Resources & Environmental Sciences
mus.relation.universityMontana State University - Bozeman

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