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Comparisons of Montane Snow Water Equivalent Projections: Calculating Total Snow Mass in Regions with Projection Agreement and Divergence in the Western United States

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Abstract

Montane snowpack is a vital source of water in the western United States. Here, we use a large-ensemble approach to evaluate the agreement across 124 snow water equivalent (SWE) projections with statistically downscaled forcing between end-of-century (2076–95) and early twenty-first century (2106–35) periods. Comparisons were performed on dates corresponding with the end of winter (15 April) and midspring snowmelt (15 May) in five western U.S. domains. Using 1) the percent change to end-of-century SWE across different ensembles of snow projections and 2) the shift between early twenty-first century and end-of-century SWE distributions for each snow projection, we identified relationships between projections that were consistent across each domain. In low to midelevations, end-of-century SWE decreases were 48% and larger on 15 April. These regions had projected changes to SWE that were both high confidence and in relative agreement across projections. Despite this, the majority of 15 April SWE volume existed in higher elevations where the magnitude and direction (positive or negative) of SWE changes were most uncertain. The results of this study show that large-ensemble approaches can be used to measure coherence between snow projections and identify 1) the highest confidence changes to future snow water resources and 2) the locations and periods where and when improvements to snow projections would most benefit estimates of future snow water resources.

Original languageEnglish
Pages (from-to)855-874
Number of pages20
JournalJournal of Climate
Volume38
Issue number3
DOIs
StatePublished - Feb 2025

Funding

This work was supported in part by funding from the National Aeronautics and Space Administration (NASA) Terrestrial Hydrology Program. Computing was supported by the NASA Center for Climate Simulation (NCCS) and the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is a Department of Energy Office of Science User Facility. The authors would also like to acknowledge support from the U.S. Geological Survey (Grant G21AC10645), in addition to insight and advice provided by the U.S. Fish and Wildlife Service and Dr. Stefan Rahimi. The authors declare that they have no conflicts of interest. Acknowledgments. This work was supported in part by funding from the National Aeronautics and Space Administration (NASA) Terrestrial Hydrology Program. Computing was supported by the NASA Center for Climate Simulation (NCCS) and the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is a Department of Energy Office of Science User Facility. The authors would also like to acknowledge support from the U.S. Geological Survey (Grant G21AC10645), in addition to insight and advice provided by the U.S. Fish and Wildlife Service and Dr. Stefan Rahimi. The authors declare that they have no conflicts of interest.

Keywords

  • Climate models
  • Model comparison
  • Mountain meteorology
  • Snowmelt/icemelt
  • Snowpack

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