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  • Estuarine mixing  (1)
  • Numerical modeling  (1)
  • Thermal stratification  (1)
  • 2020-2023  (3)
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  • 1
    Publication Date: 2022-10-27
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Kalra, T. S., Li, X., Warner, J. C., Geyer, W. R., & Wu, H. Comparison of physical to numerical mixing with different tracer advection schemes in estuarine environments. Journal of Marine Science and Engineering, 7(10), (2019): 338, doi: 10.3390/jmse7100338.
    Description: The numerical simulation of estuarine dynamics requires accurate prediction for the transport of tracers, such as temperature and salinity. During the simulation of these processes, all the numerical models introduce two kinds of tracer mixing: (1) by parameterizing the tracer eddy diffusivity through turbulence models leading to a source of physical mixing and (2) discretization of the tracer advection term that leads to numerical mixing. Physical and numerical mixing both vary with the choice of horizontal advection schemes, grid resolution, and time step. By simulating four idealized cases, this study compares the physical and numerical mixing for three different tracer advection schemes. Idealized domains only involving physical and numerical mixing are used to verify the implementation of mixing terms by equating them to total tracer variance. Among the three horizontal advection schemes, the scheme that causes the least numerical mixing while maintaining a sharp front also results in larger physical mixing. Instantaneous spatial comparison of mixing components shows that physical mixing is dominant in regions of large vertical gradients, while numerical mixing dominates at sharp fronts that contain large horizontal tracer gradients. In the case of estuaries, numerical mixing might locally dominate over physical mixing; however, the amount of volume integrated numerical mixing through the domain compared to integrated physical mixing remains relatively small for this particular modeling system.
    Description: This study was funded through the Coastal Model Applications and Field Measurements Project and the Cross-shore and Inlets Project, US Geological Survey Coastal Marine Hazards and Resources Program.
    Keywords: Physical mixing ; Numerical mixing ; Advection schemes ; Estuarine mixing
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
    Publication Date: 2022-06-14
    Description: This project investigated the distribution of low dissolved oxygen bottom waters (hypoxia) in southern Cape Cod Bay. Hypoxia was documented for the first time in late summer 2019 and 2020 despite extensive monitoring for the past decade. The data include: 1) measurements of bottom dissolved oxygen collected in 2019 by the Massachusetts Division of Marine Fisheries (MDMF) and the Center for Coastal Studies (CCS) ; 2) full water column profiles of temperature, salinity, chlorophyll fluorescence, dissolved oxygen concentration and optical backscatter collected in late summer 2020 by the Woods Hole Oceanographic Institution (WHOI); 3) monthly water quality data including CTD with dissolved oxygen and chlorophyll fluorescence and discrete bottom samples analyzed for dissolved nutrients collected by the CCS for the period 2011-2020; 4) inorganic nutrients from discrete surface and bottom samples collected monthly for the period 2006-2020; 5) bottom temperature data collected the Wreck of Mars location by the MDMF over the period 1991-2021. There are four separate data sets included: 1) MDMF and CCS bottom dissolved oxygn from 2019; 2) CTD and ancillary data collected by WHOI in 2019; 3) CCS monthly survey data from 2011-2020; and 4) bottom temperature data collected by MDMF for 1991-2021. 1) MDMF/CCS dissolved oxygen data was collected from ship-based surveys using an YSI 6920 V2-2 data sonde; 2) WHOI CTD data was collected from vertical casts made from a small research vessel using an RBR CTD; 3) CCS CTD data was collected from vertical casts made from a small research vessel using a SeaBird Electronics CTD; 4) MDMF temperature data was collected from a bottom mounted temperature logger. Related Publications: Scully, M.E., W.R. Geyer, D. Borkman, T.L. Pouch, A. Costa, and O.C. Nichols, in press. Unprecedented summer hypoxia in southern Cape Cod Bay: An ecological response to regional climate change? Biogeosciences.
    Description: National Science Foundation - OCE- 2053240 NOAA Seagrant - NA20OAR4170506
    Keywords: Hypoxia ; Harmful Algal Blooms ; Climate Change ; Thermal stratification
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
    Publication Date: 2022-10-21
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Warner, J. C., Geyer, W. R., Ralston, D. K., & Kalra, T. Using tracer variance decay to quantify variability of salinity mixing in the Hudson River Estuary. Journal of Geophysical Research: Oceans, 125(12), (2020): e2020JC016096, https://doi.org/10.1029/2020JC016096.
    Description: The salinity structure in an estuary is controlled by time‐dependent mixing processes. However, the locations and temporal variability of where significant mixing occurs is not well‐understood. Here we utilize a tracer variance approach to demonstrate the spatial and temporal structure of salinity mixing in the Hudson River Estuary. We run a 4‐month hydrodynamic simulation of the tides, currents, and salinity that captures the spring‐neap tidal variability as well as wind‐driven and freshwater flow events. On a spring‐neap time scale, salinity variance dissipation (mixing) occurs predominantly during the transition from neap to spring tides. On a tidal time scale, 60% of the salinity variance dissipation occurs during ebb tides and 40% during flood tides. Spatially, mixing during ebbs occurs primarily where lateral bottom salinity fronts intersect the bed at the transition from the main channel to adjacent shoals. During ebbs, these lateral fronts form seaward of constrictions located at multiple locations along the estuary. During floods, mixing is generated by a shear layer elevated in the water column at the top of the mixed bottom boundary layer, where variations in the along channel density gradients locally enhance the baroclinic pressure gradient leading to stronger vertical shear and more mixing. For both ebb and flood, the mixing occurs at the location of overlap of strong vertical stratification and eddy diffusivity, not at the maximum of either of those quantities. This understanding lends a new insight to the spatial and time dependence of the estuarine salinity structure.
    Description: This study was funded through the Coastal Model Applications and Field Measurements Project and the Cross‐shore and Inlets Project, US Geological Survey Coastal Marine Hazards and Resources Program. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.
    Keywords: Hudson River Estuary ; Mixing ; Numerical modeling ; Tracer variance
    Repository Name: Woods Hole Open Access Server
    Type: Article
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