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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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