2010
DOI: 10.1029/2009jc005806
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Structure, variability, and salt flux in a strongly forced salt wedge estuary

Abstract: [1] The tidally varying circulation, stratification, and salt flux mechanisms are investigated in a shallow salt wedge estuary where fluvial and tidal velocities are large and the steady baroclinic circulation is comparatively weak. The study integrates field observations and numerical simulations of the Merrimack River estuary. At moderate to high discharge the estuary is short and highly stratified, while at lower discharges it shifts to a longer, more weakly stratified estuary; the transition occurs when th… Show more

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Cited by 122 publications
(158 citation statements)
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References 71 publications
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“…3. This general pattern was observed during all three of the ebb tide anchor stations (for more details, see Ralston et al 2010b). …”
Section: Resultsmentioning
confidence: 90%
See 1 more Smart Citation
“…3. This general pattern was observed during all three of the ebb tide anchor stations (for more details, see Ralston et al 2010b). …”
Section: Resultsmentioning
confidence: 90%
“…Despite these potential shortcomings, 3D modeling studies that employ these closure assumptions generally can hindcast mean hydrographic quantities in estuarine environments with good skill (Warner et al 2005;Li et al 2005;Ralston et al 2010a). These studies show that the model's ability to reproduce mean quantities is largely insensitive to the choice of turbulence closure.…”
Section: Introduction a Motivationmentioning
confidence: 99%
“…Moreover, since WS is often criticized for producing high skill values for entirely uncorrelated signals [Ralston et al, 2010], we provide the modeling efficiency (ME) as an alternative validation metric which determines the relative magnitude of the residual variance compared to the measured data variance [Nash and Sutcliffe, 1970]. ME indicates how well the plot of observed versus simulated regionally averaged data fits the 1:1 line [Moriasi et al, 2007] The range of ME lies between 1.0 (perfect fit) and 21 [Stow et al, 2009].…”
Section: Model Outputmentioning
confidence: 99%
“…The performance of model is indicated by SS as: >0.65 excellent; 0.65-0.5 very good; 0.5-0.2 good; <0.2 poor (Luo et al, 2017;Ralston et al, 2010;Song and Wang, 2013).…”
Section: Standard Model Runmentioning
confidence: 99%