Dynamical Downscaling–Based Projections of Great Lakes Water LevelsSource: Journal of Climate:;2015:;volume( 028 ):;issue: 024::page 9721DOI: 10.1175/JCLI-D-14-00847.1Publisher: 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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contributor author | Notaro, Michael | |
contributor author | Bennington, Val | |
contributor author | Lofgren, Brent | |
date accessioned | 2017-06-09T17:11:51Z | |
date available | 2017-06-09T17:11:51Z | |
date copyright | 2015/12/01 | |
date issued | 2015 | |
identifier issn | 0894-8755 | |
identifier other | ams-80944.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4223892 | |
description 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. | |
publisher | American Meteorological Society | |
title | Dynamical Downscaling–Based Projections of Great Lakes Water Levels | |
type | Journal Paper | |
journal volume | 28 | |
journal issue | 24 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-14-00847.1 | |
journal fristpage | 9721 | |
journal lastpage | 9745 | |
tree | Journal of Climate:;2015:;volume( 028 ):;issue: 024 | |
contenttype | Fulltext |