2013
DOI: 10.1002/jgrc.20136
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Solute dispersion in the coastal boundary layer of southern Lake Michigan

Abstract: [1] We evaluate a three-dimensional, nested-grid nearshore model of Lake Michigan for its ability to describe key aspects of hydrodynamics and solute transport using data from a field study conducted in summer 2008. Velocity comparisons with observations from five bottom-mounted ADCPs at different depths in the coastal boundary layer (CBL) show that the numerical model was able to simulate currents and flow reversals accurately within the inertial boundary layer, however model accuracy reduced close to the sh… Show more

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Cited by 14 publications
(15 citation statements)
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“…waters follow the Okubo 4/3 power-law scaling [Okubo, 1971], mixing rates close to shore are higher due to shear effects resulting from lateral and bottom boundaries [Lawrence et al, 1995;Peeters et al, 1996;Stocker and Imberger, 2003;Ojo et al, 2006;Thupaki et al, 2013]. Based on data from a continuous Rhodamine-WT dye release study conducted during summer 2008, Thupaki et al [2013] estimated a mean horizontal dispersion coefficient of about 5.6 m 2 /s close to the shore in southern Lake Michigan. Dispersion rates in the nearshore can also be calculated using Lagrangian drifters, which have the advantage of higher sampling rate [Spydell et al, 2007;Nekouee, 2010].…”
Section: Results Based On Dye Diffusion Studies In Open Lakes and Ocementioning
confidence: 99%
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“…waters follow the Okubo 4/3 power-law scaling [Okubo, 1971], mixing rates close to shore are higher due to shear effects resulting from lateral and bottom boundaries [Lawrence et al, 1995;Peeters et al, 1996;Stocker and Imberger, 2003;Ojo et al, 2006;Thupaki et al, 2013]. Based on data from a continuous Rhodamine-WT dye release study conducted during summer 2008, Thupaki et al [2013] estimated a mean horizontal dispersion coefficient of about 5.6 m 2 /s close to the shore in southern Lake Michigan. Dispersion rates in the nearshore can also be calculated using Lagrangian drifters, which have the advantage of higher sampling rate [Spydell et al, 2007;Nekouee, 2010].…”
Section: Results Based On Dye Diffusion Studies In Open Lakes and Ocementioning
confidence: 99%
“…Results based on dye diffusion studies in open lakes and oceans indicate that while mixing rates in open waters follow the Okubo 4/3 power‐law scaling [ Okubo , ], mixing rates close to shore are higher due to shear effects resulting from lateral and bottom boundaries [ Lawrence et al ., ; Peeters et al ., ; Stocker and Imberger , ; Ojo et al ., ; Thupaki et al ., ]. Based on data from a continuous Rhodamine‐WT dye release study conducted during summer 2008, Thupaki et al .…”
Section: Introductionmentioning
confidence: 99%
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“…Detailed analysis of the model results are presented in the work of Thupaki et al . []. Table provides a summary of the RMSE values for the hydrodynamic model comparisons.…”
Section: Resultsmentioning
confidence: 99%
“…The hydrodynamic, conservative tracer (Rhodamine WT), and thermal transport models were tested earlier and the results were reported in the work of Thupaki et al . []. The GLERL‐Donelan wave model used in our work was described in [ Schwab et al ., ; Liu et al ., ] and has been extensively tested in the Great Lakes and was used to simulate surface waves.…”
Section: Introductionmentioning
confidence: 99%