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    Dynamical Downscaling–Based Projections of Great Lakes Water Levels

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 024::page 9721
    Author:
    Notaro, Michael
    ,
    Bennington, Val
    ,
    Lofgren, Brent
    DOI: 10.1175/JCLI-D-14-00847.1
    Publisher: American Meteorological Society
    Abstract: rojections of regional climate, net basin supply (NBS), and water levels are developed for the mid- and late twenty-first century across the Laurentian Great Lakes basin. Two state-of-the-art global climate models (GCMs) are dynamically downscaled using a regional climate model (RCM) interactively coupled to a one-dimensional lake model, and then a hydrologic routing model is forced with time series of perturbed NBS. The dynamical downscaling and coupling with a lake model to represent the Great Lakes create added value beyond the parent GCM in terms of simulated seasonal cycles of temperature, precipitation, and surface fluxes. However, limitations related to this rudimentary treatment of the Great Lakes result in warm summer biases in lake temperatures, excessive ice cover, and an abnormally early peak in lake evaporation. While the downscaling of both GCMs led to consistent projections of increases in annual air temperature, precipitation, and all NBS components (overlake precipitation, basinwide runoff, and lake evaporation), the resulting projected water level trends are opposite in sign. Clearly, it is not sufficient to correctly simulate the signs of the projected change in each NBS component; one must also account for their relative magnitudes. The potential risk of more frequent episodes of lake levels below the low water datum, a critical shipping threshold, is explored.
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      Dynamical Downscaling–Based Projections of Great Lakes Water Levels

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    contributor authorNotaro, Michael
    contributor authorBennington, Val
    contributor authorLofgren, Brent
    date accessioned2017-06-09T17:11:51Z
    date available2017-06-09T17:11:51Z
    date copyright2015/12/01
    date issued2015
    identifier issn0894-8755
    identifier otherams-80944.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223892
    description abstractrojections of regional climate, net basin supply (NBS), and water levels are developed for the mid- and late twenty-first century across the Laurentian Great Lakes basin. Two state-of-the-art global climate models (GCMs) are dynamically downscaled using a regional climate model (RCM) interactively coupled to a one-dimensional lake model, and then a hydrologic routing model is forced with time series of perturbed NBS. The dynamical downscaling and coupling with a lake model to represent the Great Lakes create added value beyond the parent GCM in terms of simulated seasonal cycles of temperature, precipitation, and surface fluxes. However, limitations related to this rudimentary treatment of the Great Lakes result in warm summer biases in lake temperatures, excessive ice cover, and an abnormally early peak in lake evaporation. While the downscaling of both GCMs led to consistent projections of increases in annual air temperature, precipitation, and all NBS components (overlake precipitation, basinwide runoff, and lake evaporation), the resulting projected water level trends are opposite in sign. Clearly, it is not sufficient to correctly simulate the signs of the projected change in each NBS component; one must also account for their relative magnitudes. The potential risk of more frequent episodes of lake levels below the low water datum, a critical shipping threshold, is explored.
    publisherAmerican Meteorological Society
    titleDynamical Downscaling–Based Projections of Great Lakes Water Levels
    typeJournal Paper
    journal volume28
    journal issue24
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-14-00847.1
    journal fristpage9721
    journal lastpage9745
    treeJournal of Climate:;2015:;volume( 028 ):;issue: 024
    contenttypeFulltext
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