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dc.contributor.authorGauthier, Nicolas
dc.contributor.authorAnchukaitis, Kevin J.
dc.contributor.authorCoulthard, Bethany
dc.date.accessioned2022-01-13T19:01:51Z
dc.date.available2022-01-13T19:01:51Z
dc.date.issued2021-12-27
dc.identifier.citationGauthier, N., Anchukaitis, K. J., & Coulthard, B. (2021). Pattern-based downscaling of snowpack variability in the western United States. Climate Dynamics.en_US
dc.identifier.issn0930-7575
dc.identifier.doi10.1007/s00382-021-06094-z
dc.identifier.urihttp://hdl.handle.net/10150/662886
dc.description.abstractThe decline in snowpack across the western United States is one of the most pressing threats posed by climate change to regional economies and livelihoods. Earth system models are important tools for exploring past and future snowpack variability, yet their coarse spatial resolutions distort local topography and bias spatial patterns of accumulation and ablation. Here, we explore pattern-based statistical downscaling for spatially-continuous interannual snowpack estimates. We find that a few leading patterns capture the majority of snowpack variability across the western US in observations, reanalyses, and free-running simulations. Pattern-based downscaling methods yield accurate, high resolution maps that correct mean and variance biases in domain-wide simulated snowpack. Methods that use large-scale patterns as both predictors and predictands perform better than those that do not and all are superior to an interpolation-based “delta change” approach. These findings suggest that pattern-based methods are appropriate for downscaling interannual snowpack variability and that using physically meaningful large-scale patterns is more important than the details of any particular downscaling method.en_US
dc.description.sponsorshipnational science foundationen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.rights© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.subjectCanonical correlation analysisen_US
dc.subjectEmpirical orthogonal functionsen_US
dc.subjectSnow water equivalenten_US
dc.subjectTeleconnectionsen_US
dc.subjectWater resourcesen_US
dc.titlePattern-based downscaling of snowpack variability in the western United Statesen_US
dc.typeArticleen_US
dc.identifier.eissn1432-0894
dc.contributor.departmentSchool of Geography, Development and Environment, University of Arizonaen_US
dc.contributor.departmentLaboratory of Tree-Ring Research, University of Arizonaen_US
dc.identifier.journalClimate Dynamicsen_US
dc.description.noteOpen access articleen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pii6094
dc.source.journaltitleClimate Dynamics
refterms.dateFOA2022-01-13T19:01:51Z


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© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License.