Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution
Snow is important for many physical, social, and economic sectors in North America. In a warming climate, the characteristics of snow will likely change in fundamental ways, therefore compelling societal need for future projections of snow. However, many stakeholders require climate change informati...
Gespeichert in:
Veröffentlicht in: | Climatic change 2022-02, Vol.170 (3-4), p.20, Article 20 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 3-4 |
container_start_page | 20 |
container_title | Climatic change |
container_volume | 170 |
creator | McCrary, R. R. Mearns, L. O. Abel, M. R. Biner, S. Bukovsky, M. S. |
description | Snow is important for many physical, social, and economic sectors in North America. In a warming climate, the characteristics of snow will likely change in fundamental ways, therefore compelling societal need for future projections of snow. However, many stakeholders require climate change information at finer resolutions that global climate models (GCMs) can provide. The North American Coordinated Regional Downscaling Experiment (NA-CORDEX) provides an ensemble of regional climate model (RCMs) simulations at two resolutions (~ 0.5° and ~ 0.25°) designed to help serve the climate impacts and adaptation communities. This is the first study to examine the differences in end of twenty-first-century projections of snow from the NA-CORDEX RCMs and their driving GCMs. We find that the broad patterns of change are similar across RCMs and GCMs: snow cover retreats, snow mass decreases everywhere except at high latitudes, and the duration of the snow covered season decreases. Regionally, the spatial details, magnitude, percent, and uncertainty of future changes vary between the GCM and RCM ensemble but are similar between the two resolutions of the RCM ensembles. An increase in winter snow amounts at high latitudes is a robust response across all ensembles. Percent snow losses are found to be more substantial in the GCMs than the RCMs over most of North America, especially in regions with high-elevation topography. Specifically, percent snow losses decrease with increasing elevation as the model resolution becomes finer. |
doi_str_mv | 10.1007/s10584-021-03294-8 |
format | Article |
fullrecord | <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1976666</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2624802461</sourcerecordid><originalsourceid>FETCH-LOGICAL-c390t-f765809aa55d9e58e7d560dabac9f72c954b01d3e239f07ced63bb8c786c1fdc3</originalsourceid><addsrcrecordid>eNp9kEFPHCEYhompiVvtH_BE2mvRD2aA4bjZ2mpi1Jg26Y2wDLhsd8ECE9N_X7bTxJtcPg7P-37wIHRO4YICyMtCgQ89AUYJdEz1ZDhCC8plR2g_wDu0ACo4AQB1gt6Xsj3cJBML9Oshp62zNaRYcPL4LuW6wcu9y8GaiEtML9jntMd3S7K6f_xy9RObOOK6cSHjKVqXqwmxBlc-45fQogb7ZKfWFfE-jW6HsytpNx0WnKFjb3bFffg_T9GPr1ffV9fk9v7bzWp5S2ynoBIvBR9AGcP5qBwfnBy5gNGsjVVeMqt4vwY6do51yoO0bhTdej1YOQhL_Wi7U_Rx7k2lBl1sqM5ubIqx_VNTJUU7Dfo0Q885_Z5cqXqbphzbuzQTrEljvaCNYjNlcyolO6-fc9ib_EdT0Afzejavm3n9z7weWqibQ6XB8cnl1-o3Un8BDjOGdA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624802461</pqid></control><display><type>article</type><title>Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution</title><source>SpringerLink Journals - AutoHoldings</source><creator>McCrary, R. R. ; Mearns, L. O. ; Abel, M. R. ; Biner, S. ; Bukovsky, M. S.</creator><creatorcontrib>McCrary, R. R. ; Mearns, L. O. ; Abel, M. R. ; Biner, S. ; Bukovsky, M. S. ; Iowa State Univ., Ames, IA (United States) ; Univ. of California, Davis, CA (United States)</creatorcontrib><description>Snow is important for many physical, social, and economic sectors in North America. In a warming climate, the characteristics of snow will likely change in fundamental ways, therefore compelling societal need for future projections of snow. However, many stakeholders require climate change information at finer resolutions that global climate models (GCMs) can provide. The North American Coordinated Regional Downscaling Experiment (NA-CORDEX) provides an ensemble of regional climate model (RCMs) simulations at two resolutions (~ 0.5° and ~ 0.25°) designed to help serve the climate impacts and adaptation communities. This is the first study to examine the differences in end of twenty-first-century projections of snow from the NA-CORDEX RCMs and their driving GCMs. We find that the broad patterns of change are similar across RCMs and GCMs: snow cover retreats, snow mass decreases everywhere except at high latitudes, and the duration of the snow covered season decreases. Regionally, the spatial details, magnitude, percent, and uncertainty of future changes vary between the GCM and RCM ensemble but are similar between the two resolutions of the RCM ensembles. An increase in winter snow amounts at high latitudes is a robust response across all ensembles. Percent snow losses are found to be more substantial in the GCMs than the RCMs over most of North America, especially in regions with high-elevation topography. Specifically, percent snow losses decrease with increasing elevation as the model resolution becomes finer.</description><identifier>ISSN: 0165-0009</identifier><identifier>EISSN: 1573-1480</identifier><identifier>DOI: 10.1007/s10584-021-03294-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Atmospheric Sciences ; Climate change ; Climate Change/Climate Change Impacts ; Climate models ; Earth and Environmental Science ; Earth Sciences ; Economic models ; Economic sectors ; Elevation ; Environmental Sciences & Ecology ; Global climate ; Global climate models ; Global warming ; Latitude ; Meteorology & Atmospheric Sciences ; Modelling ; Regional climate models ; Regional climates ; Resolution ; Snow ; Snow cover ; Uncertainty ; Winter snow</subject><ispartof>Climatic change, 2022-02, Vol.170 (3-4), p.20, Article 20</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2024. corrected publication 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-f765809aa55d9e58e7d560dabac9f72c954b01d3e239f07ced63bb8c786c1fdc3</citedby><cites>FETCH-LOGICAL-c390t-f765809aa55d9e58e7d560dabac9f72c954b01d3e239f07ced63bb8c786c1fdc3</cites><orcidid>0000-0003-0741-6773 ; 0000000307416773</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10584-021-03294-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10584-021-03294-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1976666$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>McCrary, R. R.</creatorcontrib><creatorcontrib>Mearns, L. O.</creatorcontrib><creatorcontrib>Abel, M. R.</creatorcontrib><creatorcontrib>Biner, S.</creatorcontrib><creatorcontrib>Bukovsky, M. S.</creatorcontrib><creatorcontrib>Iowa State Univ., Ames, IA (United States)</creatorcontrib><creatorcontrib>Univ. of California, Davis, CA (United States)</creatorcontrib><title>Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution</title><title>Climatic change</title><addtitle>Climatic Change</addtitle><description>Snow is important for many physical, social, and economic sectors in North America. In a warming climate, the characteristics of snow will likely change in fundamental ways, therefore compelling societal need for future projections of snow. However, many stakeholders require climate change information at finer resolutions that global climate models (GCMs) can provide. The North American Coordinated Regional Downscaling Experiment (NA-CORDEX) provides an ensemble of regional climate model (RCMs) simulations at two resolutions (~ 0.5° and ~ 0.25°) designed to help serve the climate impacts and adaptation communities. This is the first study to examine the differences in end of twenty-first-century projections of snow from the NA-CORDEX RCMs and their driving GCMs. We find that the broad patterns of change are similar across RCMs and GCMs: snow cover retreats, snow mass decreases everywhere except at high latitudes, and the duration of the snow covered season decreases. Regionally, the spatial details, magnitude, percent, and uncertainty of future changes vary between the GCM and RCM ensemble but are similar between the two resolutions of the RCM ensembles. An increase in winter snow amounts at high latitudes is a robust response across all ensembles. Percent snow losses are found to be more substantial in the GCMs than the RCMs over most of North America, especially in regions with high-elevation topography. Specifically, percent snow losses decrease with increasing elevation as the model resolution becomes finer.</description><subject>Atmospheric Sciences</subject><subject>Climate change</subject><subject>Climate Change/Climate Change Impacts</subject><subject>Climate models</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Economic models</subject><subject>Economic sectors</subject><subject>Elevation</subject><subject>Environmental Sciences & Ecology</subject><subject>Global climate</subject><subject>Global climate models</subject><subject>Global warming</subject><subject>Latitude</subject><subject>Meteorology & Atmospheric Sciences</subject><subject>Modelling</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>Resolution</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Uncertainty</subject><subject>Winter snow</subject><issn>0165-0009</issn><issn>1573-1480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kEFPHCEYhompiVvtH_BE2mvRD2aA4bjZ2mpi1Jg26Y2wDLhsd8ECE9N_X7bTxJtcPg7P-37wIHRO4YICyMtCgQ89AUYJdEz1ZDhCC8plR2g_wDu0ACo4AQB1gt6Xsj3cJBML9Oshp62zNaRYcPL4LuW6wcu9y8GaiEtML9jntMd3S7K6f_xy9RObOOK6cSHjKVqXqwmxBlc-45fQogb7ZKfWFfE-jW6HsytpNx0WnKFjb3bFffg_T9GPr1ffV9fk9v7bzWp5S2ynoBIvBR9AGcP5qBwfnBy5gNGsjVVeMqt4vwY6do51yoO0bhTdej1YOQhL_Wi7U_Rx7k2lBl1sqM5ubIqx_VNTJUU7Dfo0Q885_Z5cqXqbphzbuzQTrEljvaCNYjNlcyolO6-fc9ib_EdT0Afzejavm3n9z7weWqibQ6XB8cnl1-o3Un8BDjOGdA</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>McCrary, R. R.</creator><creator>Mearns, L. O.</creator><creator>Abel, M. R.</creator><creator>Biner, S.</creator><creator>Bukovsky, M. S.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><general>Springer</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KL.</scope><scope>KR7</scope><scope>L.-</scope><scope>L.G</scope><scope>L6V</scope><scope>M0C</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>SOI</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0003-0741-6773</orcidid><orcidid>https://orcid.org/0000000307416773</orcidid></search><sort><creationdate>20220201</creationdate><title>Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution</title><author>McCrary, R. R. ; Mearns, L. O. ; Abel, M. R. ; Biner, S. ; Bukovsky, M. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-f765809aa55d9e58e7d560dabac9f72c954b01d3e239f07ced63bb8c786c1fdc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Atmospheric Sciences</topic><topic>Climate change</topic><topic>Climate Change/Climate Change Impacts</topic><topic>Climate models</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Economic models</topic><topic>Economic sectors</topic><topic>Elevation</topic><topic>Environmental Sciences & Ecology</topic><topic>Global climate</topic><topic>Global climate models</topic><topic>Global warming</topic><topic>Latitude</topic><topic>Meteorology & Atmospheric Sciences</topic><topic>Modelling</topic><topic>Regional climate models</topic><topic>Regional climates</topic><topic>Resolution</topic><topic>Snow</topic><topic>Snow cover</topic><topic>Uncertainty</topic><topic>Winter snow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McCrary, R. R.</creatorcontrib><creatorcontrib>Mearns, L. O.</creatorcontrib><creatorcontrib>Abel, M. R.</creatorcontrib><creatorcontrib>Biner, S.</creatorcontrib><creatorcontrib>Bukovsky, M. S.</creatorcontrib><creatorcontrib>Iowa State Univ., Ames, IA (United States)</creatorcontrib><creatorcontrib>Univ. of California, Davis, CA (United States)</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Environment Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Climatic change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McCrary, R. R.</au><au>Mearns, L. O.</au><au>Abel, M. R.</au><au>Biner, S.</au><au>Bukovsky, M. S.</au><aucorp>Iowa State Univ., Ames, IA (United States)</aucorp><aucorp>Univ. of California, Davis, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution</atitle><jtitle>Climatic change</jtitle><stitle>Climatic Change</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>170</volume><issue>3-4</issue><spage>20</spage><pages>20-</pages><artnum>20</artnum><issn>0165-0009</issn><eissn>1573-1480</eissn><abstract>Snow is important for many physical, social, and economic sectors in North America. In a warming climate, the characteristics of snow will likely change in fundamental ways, therefore compelling societal need for future projections of snow. However, many stakeholders require climate change information at finer resolutions that global climate models (GCMs) can provide. The North American Coordinated Regional Downscaling Experiment (NA-CORDEX) provides an ensemble of regional climate model (RCMs) simulations at two resolutions (~ 0.5° and ~ 0.25°) designed to help serve the climate impacts and adaptation communities. This is the first study to examine the differences in end of twenty-first-century projections of snow from the NA-CORDEX RCMs and their driving GCMs. We find that the broad patterns of change are similar across RCMs and GCMs: snow cover retreats, snow mass decreases everywhere except at high latitudes, and the duration of the snow covered season decreases. Regionally, the spatial details, magnitude, percent, and uncertainty of future changes vary between the GCM and RCM ensemble but are similar between the two resolutions of the RCM ensembles. An increase in winter snow amounts at high latitudes is a robust response across all ensembles. Percent snow losses are found to be more substantial in the GCMs than the RCMs over most of North America, especially in regions with high-elevation topography. Specifically, percent snow losses decrease with increasing elevation as the model resolution becomes finer.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10584-021-03294-8</doi><orcidid>https://orcid.org/0000-0003-0741-6773</orcidid><orcidid>https://orcid.org/0000000307416773</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0165-0009 |
ispartof | Climatic change, 2022-02, Vol.170 (3-4), p.20, Article 20 |
issn | 0165-0009 1573-1480 |
language | eng |
recordid | cdi_osti_scitechconnect_1976666 |
source | SpringerLink Journals - AutoHoldings |
subjects | Atmospheric Sciences Climate change Climate Change/Climate Change Impacts Climate models Earth and Environmental Science Earth Sciences Economic models Economic sectors Elevation Environmental Sciences & Ecology Global climate Global climate models Global warming Latitude Meteorology & Atmospheric Sciences Modelling Regional climate models Regional climates Resolution Snow Snow cover Uncertainty Winter snow |
title | Projections of North American snow from NA-CORDEX and their uncertainties, with a focus on model resolution |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T00%3A22%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Projections%20of%20North%20American%20snow%20from%20NA-CORDEX%20and%20their%20uncertainties,%20with%20a%20focus%20on%20model%20resolution&rft.jtitle=Climatic%20change&rft.au=McCrary,%20R.%20R.&rft.aucorp=Iowa%20State%20Univ.,%20Ames,%20IA%20(United%20States)&rft.date=2022-02-01&rft.volume=170&rft.issue=3-4&rft.spage=20&rft.pages=20-&rft.artnum=20&rft.issn=0165-0009&rft.eissn=1573-1480&rft_id=info:doi/10.1007/s10584-021-03294-8&rft_dat=%3Cproquest_osti_%3E2624802461%3C/proquest_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2624802461&rft_id=info:pmid/&rfr_iscdi=true |