Laurentian Great Lakes double-CO2 climate change hydrological impacts

1990 ◽  
Vol 17 (1) ◽  
pp. 27-47 ◽  
Author(s):  
Thomas E. Croley
Author(s):  
R. A. Shuchman ◽  
K. R. Bosse ◽  
M. J. Sayers ◽  
G. L. Fahnenstiel ◽  
G. Leshkevich

Long time series of ocean and land color satellite data can be used to measure Laurentian Great Lakes water quality parameters including chlorophyll, suspended minerals, harmful algal blooms (HABs), photic zone and primary productivity on weekly, monthly and annual observational intervals. The observed changes in these water quality parameters over time are a direct result of the introduction of invasive species such as the <i>Dreissena</i> mussels as well as anthropogenic forcing and climate change. Time series of the above mentioned water quality parameters have been generated based on a range of satellite sensors, starting with Landsat in the 1970s and continuing to the present with MODIS and VIIRS. These time series have documented the effect the mussels have had on increased water clarity by decreasing the chlorophyll concentrations. Primary productivity has declined in the lakes due to the decrease in algae. The increased water clarity due to the mussels has also led to an increase in submerged aquatic vegetation. Comparing water quality metrics in Lake Superior to the lower lakes is insightful because Lake Superior is the largest and most northern of the five Great Lakes and to date has not been affected by the invasive mussels and can thus be considered a control. In contrast, Lake Erie, the most southern and shallow of the Laurentian Great Lakes, is heavily influenced by agricultural practices (i.e., nutrient runoff) and climate change, which directly influence the annual extent of HABs in the Western Basin of that lake.


2020 ◽  
Vol 26 (3) ◽  
pp. 1118-1137 ◽  
Author(s):  
Robert J. Lennox ◽  
Gale A. Bravener ◽  
Hsien‐Yung Lin ◽  
Charles P. Madenjian ◽  
Andrew M. Muir ◽  
...  

Author(s):  
Chuliang Xiao ◽  
Brent M. Lofgren ◽  
Jia Wang ◽  
Philip Y. Chu

Large water bodies such as the Laurentian Great Lakes have significant influences on local and regional climate through their unique physical features. Due to the coarse spatial resolution of general circulation models (GCMs), the Great Lakes are geometrically ignored in most GCMs. Thus, the dynamical downscaling technique serves as a necessary and feasible solution to bridge the gap. The Weather Research and Forecasting model (WRF) with an updated lake scheme is employed to downscale from a GCM, GFDL-CM3. The WRF-Lake&rsquo;s performance is evaluated against observations, the GCM, as well as 23 other GCMs. Results show that the coupled air-lake model, with a fine spatial resolution and realistic lake bathymetries, reproduced a more reasonable spatiotemporal climatology than GCMs, as well as the lake-induced characteristics that were missed in GCMs. With lakes present, the seasonal variability of air temperature was reduced in WRF-Lake relative to GFDL-CM3, especially in summer. A reduced air temperature trend, about 4.5 &deg;C/100 year in the 21st century, was projected in WRF-Lake. The seasonal evolutions of lake surface temperature and lake ice coverage were well captured by the lake model. The lake surface temperature was projected to be warming by 3.5-4 &deg;C and the lake ice diminishing by 58.9% - 86%. Those results brought by the WRF-Lake model suggest that a fine resolution of the topography and the incorporation of the lake-atmosphere interactions are crucial to improve the understanding of the climate and climate change in the Great Lakes region.


2017 ◽  
Vol 27 (2) ◽  
pp. 363-391 ◽  
Author(s):  
Paris D. Collingsworth ◽  
David B. Bunnell ◽  
Michael W. Murray ◽  
Yu-Chun Kao ◽  
Zachary S. Feiner ◽  
...  

Author(s):  
John Lekki ◽  
R. Anderson ◽  
Q.-V. Nguyen ◽  
J. Demers ◽  
J. Flatico ◽  
...  

2017 ◽  
Author(s):  
John W. Johnston ◽  
◽  
Erin P. Argyilan ◽  
Steve J. Baedke ◽  
Sean Morrison ◽  
...  

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