Loading…

Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery

Analysis of the Sierra Nevada (USA) snowpack using a new spatially distributed snow reanalysis data set, in combination with longer term in situ data, indicates that water year 2015 was a truly extreme (dry) year. The range‐wide peak snow volume was characterized by a return period of over 600 years...

Full description

Saved in:
Bibliographic Details
Published in:Geophysical research letters 2016-06, Vol.43 (12), p.6341-6349
Main Authors: Margulis, Steven A., Cortés, Gonzalo, Girotto, Manuela, Huning, Laurie S., Li, Dongyue, Durand, Michael
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3
cites cdi_FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3
container_end_page 6349
container_issue 12
container_start_page 6341
container_title Geophysical research letters
container_volume 43
creator Margulis, Steven A.
Cortés, Gonzalo
Girotto, Manuela
Huning, Laurie S.
Li, Dongyue
Durand, Michael
description Analysis of the Sierra Nevada (USA) snowpack using a new spatially distributed snow reanalysis data set, in combination with longer term in situ data, indicates that water year 2015 was a truly extreme (dry) year. The range‐wide peak snow volume was characterized by a return period of over 600 years (95% confidence interval between 100 and 4400 years) having a strong elevational gradient with a return period at lower elevations over an order of magnitude larger than those at higher elevations. The 2015 conditions, occurring on top of three previous drought years, led to an accumulated (multiyear) snowpack deficit of ~ −22 km3, the highest over the 65 years analyzed. Early estimates based on 1 April snow course data indicate that the snowpack drought deficit will not be overcome in 2016, despite historically strong El Niño conditions. Results based on a probabilistic Monte Carlo simulation show that recovery from the snowpack drought will likely take about 4 years. Key Points The 2015 Sierra Nevada range‐wide snow volume was characterized by a return period of over 600 years with a strong elevational gradient The accumulated snowpack drought deficit volume ending in 2015 was the largest over the 65 year record analyzed Despite historically strong 2016 El Nino conditions, it is highly likely that recovery to predrought conditions will take about 4 years
doi_str_mv 10.1002/2016GL068520
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835613264</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1931356450</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3</originalsourceid><addsrcrecordid>eNqN0V1rFDEUBuAgCq7VO39AwJsKrp58zExyWZa6FRYFa6-HfJx0U2cnazLTuv76xq4X4kXxKoechzeEl5DXDN4zAP6BA2vXG2hVw-EJWTAt5VIBdE_JAkDXmXftc_KilBsAECDYgsyrrcnGTZjjrzhe02mLFH9OGXdIa1xDy5ju9sZ9px5DdHGicXxAlxFzNvQz3hpv6OnV5dlbakb_sIu7_RCdmWIaCw0pU5_TfL2daEaXbjEfXpJnwQwFX_05T8jVx_Nvq4vl5sv60-pss3RSKL6Upm3BKuW47qxtuLMsaGU9aNGi1cErrHdCOys166wzzAfvmWMYwHYQxAk5Pebuc_oxY5n6XSwOh8GMmObSMyWalgneyv-goDrQTdtV-uYfepPmPNaP9EwLViNlA48qBUJzIRmv6t1RuZxKyRj6fY47kw89g_53qf3fpVbOj_wuDnh41Pbrr5tGyvrOPTs_oR8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1803923412</pqid></control><display><type>article</type><title>Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery</title><source>Wiley-Blackwell AGU Digital Archive</source><creator>Margulis, Steven A. ; Cortés, Gonzalo ; Girotto, Manuela ; Huning, Laurie S. ; Li, Dongyue ; Durand, Michael</creator><creatorcontrib>Margulis, Steven A. ; Cortés, Gonzalo ; Girotto, Manuela ; Huning, Laurie S. ; Li, Dongyue ; Durand, Michael</creatorcontrib><description>Analysis of the Sierra Nevada (USA) snowpack using a new spatially distributed snow reanalysis data set, in combination with longer term in situ data, indicates that water year 2015 was a truly extreme (dry) year. The range‐wide peak snow volume was characterized by a return period of over 600 years (95% confidence interval between 100 and 4400 years) having a strong elevational gradient with a return period at lower elevations over an order of magnitude larger than those at higher elevations. The 2015 conditions, occurring on top of three previous drought years, led to an accumulated (multiyear) snowpack deficit of ~ −22 km3, the highest over the 65 years analyzed. Early estimates based on 1 April snow course data indicate that the snowpack drought deficit will not be overcome in 2016, despite historically strong El Niño conditions. Results based on a probabilistic Monte Carlo simulation show that recovery from the snowpack drought will likely take about 4 years. Key Points The 2015 Sierra Nevada range‐wide snow volume was characterized by a return period of over 600 years with a strong elevational gradient The accumulated snowpack drought deficit volume ending in 2015 was the largest over the 65 year record analyzed Despite historically strong 2016 El Nino conditions, it is highly likely that recovery to predrought conditions will take about 4 years</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1002/2016GL068520</identifier><language>eng</language><publisher>Washington: John Wiley &amp; Sons, Inc</publisher><subject>Computer simulation ; Confidence intervals ; Data ; Drought ; Droughts ; El Nino ; El Nino phenomena ; Elevation ; Extreme weather ; Meteorology ; Monte Carlo simulation ; Recovery ; Simulation ; Snow ; Snow accumulation ; Snowpack ; Statistical methods ; water supply</subject><ispartof>Geophysical research letters, 2016-06, Vol.43 (12), p.6341-6349</ispartof><rights>2016. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3</citedby><cites>FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2016GL068520$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2016GL068520$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,11514,27924,27925,46468,46892</link.rule.ids></links><search><creatorcontrib>Margulis, Steven A.</creatorcontrib><creatorcontrib>Cortés, Gonzalo</creatorcontrib><creatorcontrib>Girotto, Manuela</creatorcontrib><creatorcontrib>Huning, Laurie S.</creatorcontrib><creatorcontrib>Li, Dongyue</creatorcontrib><creatorcontrib>Durand, Michael</creatorcontrib><title>Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery</title><title>Geophysical research letters</title><description>Analysis of the Sierra Nevada (USA) snowpack using a new spatially distributed snow reanalysis data set, in combination with longer term in situ data, indicates that water year 2015 was a truly extreme (dry) year. The range‐wide peak snow volume was characterized by a return period of over 600 years (95% confidence interval between 100 and 4400 years) having a strong elevational gradient with a return period at lower elevations over an order of magnitude larger than those at higher elevations. The 2015 conditions, occurring on top of three previous drought years, led to an accumulated (multiyear) snowpack deficit of ~ −22 km3, the highest over the 65 years analyzed. Early estimates based on 1 April snow course data indicate that the snowpack drought deficit will not be overcome in 2016, despite historically strong El Niño conditions. Results based on a probabilistic Monte Carlo simulation show that recovery from the snowpack drought will likely take about 4 years. Key Points The 2015 Sierra Nevada range‐wide snow volume was characterized by a return period of over 600 years with a strong elevational gradient The accumulated snowpack drought deficit volume ending in 2015 was the largest over the 65 year record analyzed Despite historically strong 2016 El Nino conditions, it is highly likely that recovery to predrought conditions will take about 4 years</description><subject>Computer simulation</subject><subject>Confidence intervals</subject><subject>Data</subject><subject>Drought</subject><subject>Droughts</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Elevation</subject><subject>Extreme weather</subject><subject>Meteorology</subject><subject>Monte Carlo simulation</subject><subject>Recovery</subject><subject>Simulation</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>Snowpack</subject><subject>Statistical methods</subject><subject>water supply</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqN0V1rFDEUBuAgCq7VO39AwJsKrp58zExyWZa6FRYFa6-HfJx0U2cnazLTuv76xq4X4kXxKoechzeEl5DXDN4zAP6BA2vXG2hVw-EJWTAt5VIBdE_JAkDXmXftc_KilBsAECDYgsyrrcnGTZjjrzhe02mLFH9OGXdIa1xDy5ju9sZ9px5DdHGicXxAlxFzNvQz3hpv6OnV5dlbakb_sIu7_RCdmWIaCw0pU5_TfL2daEaXbjEfXpJnwQwFX_05T8jVx_Nvq4vl5sv60-pss3RSKL6Upm3BKuW47qxtuLMsaGU9aNGi1cErrHdCOys166wzzAfvmWMYwHYQxAk5Pebuc_oxY5n6XSwOh8GMmObSMyWalgneyv-goDrQTdtV-uYfepPmPNaP9EwLViNlA48qBUJzIRmv6t1RuZxKyRj6fY47kw89g_53qf3fpVbOj_wuDnh41Pbrr5tGyvrOPTs_oR8</recordid><startdate>20160628</startdate><enddate>20160628</enddate><creator>Margulis, Steven A.</creator><creator>Cortés, Gonzalo</creator><creator>Girotto, Manuela</creator><creator>Huning, Laurie S.</creator><creator>Li, Dongyue</creator><creator>Durand, Michael</creator><general>John Wiley &amp; 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></search><sort><creationdate>20160628</creationdate><title>Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery</title><author>Margulis, Steven A. ; Cortés, Gonzalo ; Girotto, Manuela ; Huning, Laurie S. ; Li, Dongyue ; Durand, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computer simulation</topic><topic>Confidence intervals</topic><topic>Data</topic><topic>Drought</topic><topic>Droughts</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>Elevation</topic><topic>Extreme weather</topic><topic>Meteorology</topic><topic>Monte Carlo simulation</topic><topic>Recovery</topic><topic>Simulation</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>Snowpack</topic><topic>Statistical methods</topic><topic>water supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Margulis, Steven A.</creatorcontrib><creatorcontrib>Cortés, Gonzalo</creatorcontrib><creatorcontrib>Girotto, Manuela</creatorcontrib><creatorcontrib>Huning, Laurie S.</creatorcontrib><creatorcontrib>Li, Dongyue</creatorcontrib><creatorcontrib>Durand, Michael</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; 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>Margulis, Steven A.</au><au>Cortés, Gonzalo</au><au>Girotto, Manuela</au><au>Huning, Laurie S.</au><au>Li, Dongyue</au><au>Durand, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery</atitle><jtitle>Geophysical research letters</jtitle><date>2016-06-28</date><risdate>2016</risdate><volume>43</volume><issue>12</issue><spage>6341</spage><epage>6349</epage><pages>6341-6349</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>Analysis of the Sierra Nevada (USA) snowpack using a new spatially distributed snow reanalysis data set, in combination with longer term in situ data, indicates that water year 2015 was a truly extreme (dry) year. The range‐wide peak snow volume was characterized by a return period of over 600 years (95% confidence interval between 100 and 4400 years) having a strong elevational gradient with a return period at lower elevations over an order of magnitude larger than those at higher elevations. The 2015 conditions, occurring on top of three previous drought years, led to an accumulated (multiyear) snowpack deficit of ~ −22 km3, the highest over the 65 years analyzed. Early estimates based on 1 April snow course data indicate that the snowpack drought deficit will not be overcome in 2016, despite historically strong El Niño conditions. Results based on a probabilistic Monte Carlo simulation show that recovery from the snowpack drought will likely take about 4 years. Key Points The 2015 Sierra Nevada range‐wide snow volume was characterized by a return period of over 600 years with a strong elevational gradient The accumulated snowpack drought deficit volume ending in 2015 was the largest over the 65 year record analyzed Despite historically strong 2016 El Nino conditions, it is highly likely that recovery to predrought conditions will take about 4 years</abstract><cop>Washington</cop><pub>John Wiley &amp; Sons, Inc</pub><doi>10.1002/2016GL068520</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0094-8276
ispartof Geophysical research letters, 2016-06, Vol.43 (12), p.6341-6349
issn 0094-8276
1944-8007
language eng
recordid cdi_proquest_miscellaneous_1835613264
source Wiley-Blackwell AGU Digital Archive
subjects Computer simulation
Confidence intervals
Data
Drought
Droughts
El Nino
El Nino phenomena
Elevation
Extreme weather
Meteorology
Monte Carlo simulation
Recovery
Simulation
Snow
Snow accumulation
Snowpack
Statistical methods
water supply
title Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T10%3A28%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterizing%20the%20extreme%202015%20snowpack%20deficit%20in%20the%20Sierra%20Nevada%20(USA)%20and%20the%20implications%20for%20drought%20recovery&rft.jtitle=Geophysical%20research%20letters&rft.au=Margulis,%20Steven%20A.&rft.date=2016-06-28&rft.volume=43&rft.issue=12&rft.spage=6341&rft.epage=6349&rft.pages=6341-6349&rft.issn=0094-8276&rft.eissn=1944-8007&rft_id=info:doi/10.1002/2016GL068520&rft_dat=%3Cproquest_cross%3E1931356450%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4382-4a660b88c297bb52cb1f98bd0936eb9fd8e2cb39cb4917bca1dfdd1c1ef0b70f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1803923412&rft_id=info:pmid/&rfr_iscdi=true