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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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 |
doi_str_mv | 10.1029/2019GL084401 |
format | Article |
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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</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2019GL084401</identifier><language>eng</language><publisher>Washington: John Wiley & 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. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3878-c870c4d6166b3057c9de13ed265632ae497ca72f73faf0565730e099a93dc88c3</citedby><cites>FETCH-LOGICAL-c3878-c870c4d6166b3057c9de13ed265632ae497ca72f73faf0565730e099a93dc88c3</cites><orcidid>0000-0002-5587-6611 ; 0000-0002-2352-0565</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2019GL084401$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2019GL084401$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids></links><search><creatorcontrib>Catalano, A. 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. 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</description><subject>Atmospheric models</subject><subject>Business</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>CMIP5</subject><subject>Deceleration</subject><subject>Emissions</subject><subject>Freezing</subject><subject>Freezing level</subject><subject>Freshwater</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Inland water environment</subject><subject>Intercomparison</subject><subject>Locations (working)</subject><subject>Mountain snow</subject><subject>Mountains</subject><subject>Northwest United States</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Regions</subject><subject>Snow</subject><subject>Snowfall</subject><subject>Snowpack</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Stations</subject><subject>Telemetry</subject><subject>Topography (geology)</subject><subject>Watersheds</subject><subject>Wet days</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kLFu2zAQhomgAeI62fIABLLGzZGURHIMjNoNYNRAlGQVaOpU01AkhaRjaOuSPc-YJwkLd-jU6b_Dff_d4SfkksE3BlzfcGB6uQKVZcBOyITpLJspAPmFTAB0qrkszsjXEHYAIECwCXkrBxNdH_F56L1p6ZPxzmxc6-JI-4Y-HLCL48fv94XzISadp37vRzrfmu4XBuo6WrqIaVIOaF3jLC27_tCYtqULjy977OxI16_oadwi_dn7uD1giPSxS7aaltFEDOfkNDkCXvzVKXlcfH-Y_5it1su7-e1qZoWSamaVBJvVBSuKjYBcWl0jE1jzIi8EN5hpaY3kjRSNaSAvcikAQWujRW2VsmJKro57B9-n10Ksdv3ed-lkxbnWUghQMlHXR8r6PgSPTTV492z8WDGo_gRd_Rt0wvkRP7gWx_-y1fJ-lessV-ITPDCDXw</recordid><startdate>20190828</startdate><enddate>20190828</enddate><creator>Catalano, A. J.</creator><creator>Loikith, P. C.</creator><creator>Aragon, C. M.</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-5587-6611</orcidid><orcidid>https://orcid.org/0000-0002-2352-0565</orcidid></search><sort><creationdate>20190828</creationdate><title>Spatiotemporal Variability of Twenty‐First‐Century Changes in Site‐Specific Snowfall Frequency Over the Northwest United States</title><author>Catalano, A. J. ; Loikith, P. C. ; Aragon, C. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3878-c870c4d6166b3057c9de13ed265632ae497ca72f73faf0565730e099a93dc88c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Atmospheric models</topic><topic>Business</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate models</topic><topic>CMIP5</topic><topic>Deceleration</topic><topic>Emissions</topic><topic>Freezing</topic><topic>Freezing level</topic><topic>Freshwater</topic><topic>Greenhouse effect</topic><topic>Greenhouse gases</topic><topic>Inland water environment</topic><topic>Intercomparison</topic><topic>Locations (working)</topic><topic>Mountain snow</topic><topic>Mountains</topic><topic>Northwest United States</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Regions</topic><topic>Snow</topic><topic>Snowfall</topic><topic>Snowpack</topic><topic>Spatial variability</topic><topic>Spatial variations</topic><topic>Stations</topic><topic>Telemetry</topic><topic>Topography (geology)</topic><topic>Watersheds</topic><topic>Wet days</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Catalano, A. J.</creatorcontrib><creatorcontrib>Loikith, P. C.</creatorcontrib><creatorcontrib>Aragon, C. M.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Catalano, A. J.</au><au>Loikith, P. C.</au><au>Aragon, C. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal Variability of Twenty‐First‐Century Changes in Site‐Specific Snowfall Frequency Over the Northwest United States</atitle><jtitle>Geophysical research letters</jtitle><date>2019-08-28</date><risdate>2019</risdate><volume>46</volume><issue>16</issue><spage>10122</spage><epage>10131</epage><pages>10122-10131</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>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, 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 & 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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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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