Spatiotemporal Variability of Twenty‐First‐Century Changes in Site‐Specific Snowfall Frequency Over the Northwest United States

In the Northwest United States, warming temperatures threaten mountain snowpacks. Reliable projections of snowfall changes are therefore critical to anticipate the timeline of change. However, producing such projections is challenging, as most state‐of‐the‐art climate models are limited in sufficien...

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Veröffentlicht in:Geophysical research letters 2019-08, Vol.46 (16), p.10122-10131
Hauptverfasser: Catalano, A. J., Loikith, P. C., Aragon, C. M.
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creator Catalano, A. J.
Loikith, P. C.
Aragon, C. M.
description In the Northwest United States, warming temperatures threaten mountain snowpacks. Reliable projections of snowfall changes are therefore critical to anticipate the timeline of change. However, producing such projections is challenging, as most state‐of‐the‐art climate models are limited in sufficiently resolving influential topography. Here we leverage atmospheric freezing level to estimate precipitation phase and project twenty‐first‐century snowfall frequency change at Snowpack Telemetry Network stations across the Northwest. Under “moderate” and “business‐as‐usual” emission pathways in Coupled Model Intercomparison Project phase 5 models, snowfall frequency is projected to decline at all stations. Business‐as‐usual declines accelerate after midcentury at most locations, whereas moderate declines decelerate. A “critical year” analysis identifies when decadal‐mean snowfall frequency is projected to fall below 50%, 25%, and 10% of cold‐season wet days. Results highlight regions particularly vulnerable to relatively near‐term change, such as the Cascade Range. Considerable station‐to‐station spatial variability emphasizes the value of this site‐specific approach. Plain Language Summary In the Northwest United States, warming temperatures threaten mountain snow resources, which supply freshwater in watersheds throughout the region. Reliable estimates of future snowfall changes are therefore crucial to determine the timeline over which these changes may occur. However, the tools generally used to estimate future snowfall, climate models, have difficulty calculating local changes across mountainous landscapes. Towards addressing this challenge, we use the height where temperature equals freezing to estimate snowfall versus rainfall occurrence over this century, from which snowfall frequency changes in climate models are calculated at point locations across the Northwest. Under “business‐as‐usual” and “moderate” greenhouse gas emissions, average snowfall frequency is estimated to decline at all sites by 2100. The rate of decline under business‐as‐usual emissions increases in the latter half of this century at most locations, whereas moderate rates decrease. A “critical year” identifies when the number of snow days averaged over 10 years falls below 50%, 25%, and 10% of all days receiving rain or snow. Results highlight regions that may experience critical snowfall frequency declines sooner, such as the Cascade Range. Differences among locations are considerable
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J. ; Loikith, P. C. ; Aragon, C. M.</creator><creatorcontrib>Catalano, A. J. ; Loikith, P. C. ; Aragon, C. M.</creatorcontrib><description>In the Northwest United States, warming temperatures threaten mountain snowpacks. Reliable projections of snowfall changes are therefore critical to anticipate the timeline of change. However, producing such projections is challenging, as most state‐of‐the‐art climate models are limited in sufficiently resolving influential topography. Here we leverage atmospheric freezing level to estimate precipitation phase and project twenty‐first‐century snowfall frequency change at Snowpack Telemetry Network stations across the Northwest. Under “moderate” and “business‐as‐usual” emission pathways in Coupled Model Intercomparison Project phase 5 models, snowfall frequency is projected to decline at all stations. Business‐as‐usual declines accelerate after midcentury at most locations, whereas moderate declines decelerate. A “critical year” analysis identifies when decadal‐mean snowfall frequency is projected to fall below 50%, 25%, and 10% of cold‐season wet days. Results highlight regions particularly vulnerable to relatively near‐term change, such as the Cascade Range. Considerable station‐to‐station spatial variability emphasizes the value of this site‐specific approach. Plain Language Summary In the Northwest United States, warming temperatures threaten mountain snow resources, which supply freshwater in watersheds throughout the region. Reliable estimates of future snowfall changes are therefore crucial to determine the timeline over which these changes may occur. However, the tools generally used to estimate future snowfall, climate models, have difficulty calculating local changes across mountainous landscapes. 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Key Points Days receiving snow versus rain are projected to decline at specified sites in the Northwest, and declines are nonlinear after midcentury Snowfall frequency declines are largest at low‐elevation sites, leading to shortened time horizons for critical declines over this century The atmospheric approach used demonstrates utility in delineating site‐to‐site snowfall frequency variability using coarse‐resolution data</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2019GL084401</identifier><language>eng</language><publisher>Washington: John Wiley &amp; Sons, Inc</publisher><subject>Atmospheric models ; Business ; Climate ; Climate change ; Climate models ; CMIP5 ; Deceleration ; Emissions ; Freezing ; Freezing level ; Freshwater ; Greenhouse effect ; Greenhouse gases ; Inland water environment ; Intercomparison ; Locations (working) ; Mountain snow ; Mountains ; Northwest United States ; Rain ; Rainfall ; Regions ; Snow ; Snowfall ; Snowpack ; Spatial variability ; Spatial variations ; Stations ; Telemetry ; Topography (geology) ; Watersheds ; Wet days</subject><ispartof>Geophysical research letters, 2019-08, Vol.46 (16), p.10122-10131</ispartof><rights>2019. 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J.</creatorcontrib><creatorcontrib>Loikith, P. C.</creatorcontrib><creatorcontrib>Aragon, C. M.</creatorcontrib><title>Spatiotemporal Variability of Twenty‐First‐Century Changes in Site‐Specific Snowfall Frequency Over the Northwest United States</title><title>Geophysical research letters</title><description>In the Northwest United States, warming temperatures threaten mountain snowpacks. Reliable projections of snowfall changes are therefore critical to anticipate the timeline of change. However, producing such projections is challenging, as most state‐of‐the‐art climate models are limited in sufficiently resolving influential topography. Here we leverage atmospheric freezing level to estimate precipitation phase and project twenty‐first‐century snowfall frequency change at Snowpack Telemetry Network stations across the Northwest. Under “moderate” and “business‐as‐usual” emission pathways in Coupled Model Intercomparison Project phase 5 models, snowfall frequency is projected to decline at all stations. Business‐as‐usual declines accelerate after midcentury at most locations, whereas moderate declines decelerate. A “critical year” analysis identifies when decadal‐mean snowfall frequency is projected to fall below 50%, 25%, and 10% of cold‐season wet days. Results highlight regions particularly vulnerable to relatively near‐term change, such as the Cascade Range. Considerable station‐to‐station spatial variability emphasizes the value of this site‐specific approach. Plain Language Summary In the Northwest United States, warming temperatures threaten mountain snow resources, which supply freshwater in watersheds throughout the region. Reliable estimates of future snowfall changes are therefore crucial to determine the timeline over which these changes may occur. However, the tools generally used to estimate future snowfall, climate models, have difficulty calculating local changes across mountainous landscapes. Towards addressing this challenge, we use the height where temperature equals freezing to estimate snowfall versus rainfall occurrence over this century, from which snowfall frequency changes in climate models are calculated at point locations across the Northwest. Under “business‐as‐usual” and “moderate” greenhouse gas emissions, average snowfall frequency is estimated to decline at all sites by 2100. The rate of decline under business‐as‐usual emissions increases in the latter half of this century at most locations, whereas moderate rates decrease. A “critical year” identifies when the number of snow days averaged over 10 years falls below 50%, 25%, and 10% of all days receiving rain or snow. Results highlight regions that may experience critical snowfall frequency declines sooner, such as the Cascade Range. 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Plain Language Summary In the Northwest United States, warming temperatures threaten mountain snow resources, which supply freshwater in watersheds throughout the region. Reliable estimates of future snowfall changes are therefore crucial to determine the timeline over which these changes may occur. However, the tools generally used to estimate future snowfall, climate models, have difficulty calculating local changes across mountainous landscapes. Towards addressing this challenge, we use the height where temperature equals freezing to estimate snowfall versus rainfall occurrence over this century, from which snowfall frequency changes in climate models are calculated at point locations across the Northwest. Under “business‐as‐usual” and “moderate” greenhouse gas emissions, average snowfall frequency is estimated to decline at all sites by 2100. The rate of decline under business‐as‐usual emissions increases in the latter half of this century at most locations, whereas moderate rates decrease. A “critical year” identifies when the number of snow days averaged over 10 years falls below 50%, 25%, and 10% of all days receiving rain or snow. Results highlight regions that may experience critical snowfall frequency declines sooner, such as the Cascade Range. Differences among locations are considerable, emphasizing the value of this site‐specific approach. Key Points Days receiving snow versus rain are projected to decline at specified sites in the Northwest, and declines are nonlinear after midcentury Snowfall frequency declines are largest at low‐elevation sites, leading to shortened time horizons for critical declines over this century The atmospheric approach used demonstrates utility in delineating site‐to‐site snowfall frequency variability using coarse‐resolution data</abstract><cop>Washington</cop><pub>John Wiley &amp; Sons, Inc</pub><doi>10.1029/2019GL084401</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5587-6611</orcidid><orcidid>https://orcid.org/0000-0002-2352-0565</orcidid><oa>free_for_read</oa></addata></record>
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source Wiley Online Library Journals Frontfile Complete; Wiley Online Library Free Content; Wiley Online Library AGU Free Content; EZB-FREE-00999 freely available EZB journals
subjects Atmospheric models
Business
Climate
Climate change
Climate models
CMIP5
Deceleration
Emissions
Freezing
Freezing level
Freshwater
Greenhouse effect
Greenhouse gases
Inland water environment
Intercomparison
Locations (working)
Mountain snow
Mountains
Northwest United States
Rain
Rainfall
Regions
Snow
Snowfall
Snowpack
Spatial variability
Spatial variations
Stations
Telemetry
Topography (geology)
Watersheds
Wet days
title Spatiotemporal Variability of Twenty‐First‐Century Changes in Site‐Specific Snowfall Frequency Over the Northwest United States
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