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    Detection and Attribution of Climate Change Signal in Ocean Wind Waves

    Source: Journal of Climate:;2014:;volume( 028 ):;issue: 004::page 1578
    Author:
    Dobrynin, Mikhail
    ,
    Murawski, Jens
    ,
    Baehr, Johanna
    ,
    Ilyina, Tatiana
    DOI: 10.1175/JCLI-D-13-00664.1
    Publisher: American Meteorological Society
    Abstract: urface waves in the ocean respond to variability and changes of climate. Observations and modeling studies indicate trends in wave height over the past decades. Nevertheless, it is currently impossible to discern whether these trends are the result of climate variability or change. The output of an Earth system model (EC-EARTH) produced within phase 5 of the Coupled Model Intercomparison Project (CMIP5) is used here to force a global Wave Model (WAM) in order to study the response of waves to different climate regimes. A control simulation was run to determine the natural (unforced) model variability. A simplified fingerprint approach was used to calculate positive and negative limits of natural variability for wind speed and significant wave height, which were then compared to different (forced) climate regimes over the historical period (1850?2010) and in the future climate change scenario RCP8.5 (2010?2100). Detectable climate change signals were found in the current decade (2010?20) in the North Atlantic, equatorial Pacific, and Southern Ocean. Until the year 2060, climate change signals are detectable in 60% of the global ocean area. The authors show that climate change acts to generate detectable trends in wind speed and significant wave height that exceed the positive and the negative ranges of natural variability in different regions of the ocean. Moreover, in more than 3% of the ocean area, the climate change signal is reversible such that trends exceeded both positive and negative limits of natural variability at different points in time. These changes are attributed to local (due to local wind) and remote (due to swell) factors.
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      Detection and Attribution of Climate Change Signal in Ocean Wind Waves

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    contributor authorDobrynin, Mikhail
    contributor authorMurawski, Jens
    contributor authorBaehr, Johanna
    contributor authorIlyina, Tatiana
    date accessioned2017-06-09T17:09:37Z
    date available2017-06-09T17:09:37Z
    date copyright2015/02/01
    date issued2014
    identifier issn0894-8755
    identifier otherams-80323.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223203
    description abstracturface waves in the ocean respond to variability and changes of climate. Observations and modeling studies indicate trends in wave height over the past decades. Nevertheless, it is currently impossible to discern whether these trends are the result of climate variability or change. The output of an Earth system model (EC-EARTH) produced within phase 5 of the Coupled Model Intercomparison Project (CMIP5) is used here to force a global Wave Model (WAM) in order to study the response of waves to different climate regimes. A control simulation was run to determine the natural (unforced) model variability. A simplified fingerprint approach was used to calculate positive and negative limits of natural variability for wind speed and significant wave height, which were then compared to different (forced) climate regimes over the historical period (1850?2010) and in the future climate change scenario RCP8.5 (2010?2100). Detectable climate change signals were found in the current decade (2010?20) in the North Atlantic, equatorial Pacific, and Southern Ocean. Until the year 2060, climate change signals are detectable in 60% of the global ocean area. The authors show that climate change acts to generate detectable trends in wind speed and significant wave height that exceed the positive and the negative ranges of natural variability in different regions of the ocean. Moreover, in more than 3% of the ocean area, the climate change signal is reversible such that trends exceeded both positive and negative limits of natural variability at different points in time. These changes are attributed to local (due to local wind) and remote (due to swell) factors.
    publisherAmerican Meteorological Society
    titleDetection and Attribution of Climate Change Signal in Ocean Wind Waves
    typeJournal Paper
    journal volume28
    journal issue4
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-13-00664.1
    journal fristpage1578
    journal lastpage1591
    treeJournal of Climate:;2014:;volume( 028 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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