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    Primary Modes and Predictability of Year-to-Year Snowpack Variations in the Western United States from Teleconnections with Pacific Ocean Climate

    Source: Journal of Hydrometeorology:;2002:;Volume( 003 ):;issue: 001::page 13
    Author:
    McCabe, Gregory J.
    ,
    Dettinger, Michael D.
    DOI: 10.1175/1525-7541(2002)003<0013:PMAPOY>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Snowpack, as measured on 1 April, is the primary source of warm-season streamflow for most of the western United States and thus represents an important source of water supply. An understanding of climate factors that influence the variability of this water supply and thus its predictability is important for water resource management. In this study, principal component analysis is used to identify the primary modes of 1 April snowpack variability in the western United States. Two components account for 61% of the total snowpack variability in the western United States. Relations between these modes of variability and indices of Pacific Ocean climate [e.g., the Pacific decadal oscillation (PDO) and Niño-3 sea surface temperatures (SSTs)] are examined. The first mode of snowpack variability is closely associated with the PDO, whereas the second mode varies in concert with both the PDO and Niño-3 SSTs. Because these atmospheric?oceanic conditions change slowly from season to season, the observed teleconnections between the Pacific Ocean climate and 1 April snowpack may be useful to forecast 1 April snowpack using data that describe the Pacific Ocean climate in the previous summer and autumn seasons, especially for the northwestern United States.
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      Primary Modes and Predictability of Year-to-Year Snowpack Variations in the Western United States from Teleconnections with Pacific Ocean Climate

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206194
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    • Journal of Hydrometeorology

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    contributor authorMcCabe, Gregory J.
    contributor authorDettinger, Michael D.
    date accessioned2017-06-09T16:17:11Z
    date available2017-06-09T16:17:11Z
    date copyright2002/02/01
    date issued2002
    identifier issn1525-755X
    identifier otherams-65015.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206194
    description abstractSnowpack, as measured on 1 April, is the primary source of warm-season streamflow for most of the western United States and thus represents an important source of water supply. An understanding of climate factors that influence the variability of this water supply and thus its predictability is important for water resource management. In this study, principal component analysis is used to identify the primary modes of 1 April snowpack variability in the western United States. Two components account for 61% of the total snowpack variability in the western United States. Relations between these modes of variability and indices of Pacific Ocean climate [e.g., the Pacific decadal oscillation (PDO) and Niño-3 sea surface temperatures (SSTs)] are examined. The first mode of snowpack variability is closely associated with the PDO, whereas the second mode varies in concert with both the PDO and Niño-3 SSTs. Because these atmospheric?oceanic conditions change slowly from season to season, the observed teleconnections between the Pacific Ocean climate and 1 April snowpack may be useful to forecast 1 April snowpack using data that describe the Pacific Ocean climate in the previous summer and autumn seasons, especially for the northwestern United States.
    publisherAmerican Meteorological Society
    titlePrimary Modes and Predictability of Year-to-Year Snowpack Variations in the Western United States from Teleconnections with Pacific Ocean Climate
    typeJournal Paper
    journal volume3
    journal issue1
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/1525-7541(2002)003<0013:PMAPOY>2.0.CO;2
    journal fristpage13
    journal lastpage25
    treeJournal of Hydrometeorology:;2002:;Volume( 003 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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