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Data from: Measuring Estuarine Total Exchange Flow from Discrete Observations

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Data from: Measuring Estuarine Total Exchange Flow from Discrete Observations

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1 digital object.

Cite This Work

Lemagie Emily, P.; Giddings, Sarah N.; MacCready, Parker; Seaton, Charles; Wu, Xiaodong (2025). Data from: Measuring Estuarine Total Exchange Flow from Discrete Observations. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0DJ5FS8

Description

The two-way exchange of water and properties such as heat and salinity as well as other suspended material between estuaries and the coastal ocean is important to regulating these marine habitats. This exchange can be challenging to measure. The Total Exchange Flow (TEF) method provides a way to organize the complexity of this exchange into distinct layers based on a given water property. This method has primarily been applied in numerical models that provide high resolution output in space and time. The goal here is to identify the minimum horizontal and vertical sampling resolutions needed to measure TEF depending on estuary type. Results from three realistic hydrodynamic models were investigated. These models included three estuary types: bay (San Diego Bay: data/SDB_*.mat files), salt-wedge (Columbia River: data/CR_*.mat files), and fjord (Salish Sea: data/SJF_*.mat files). The models were sampled using three different mooring strategies, varying the number of mooring locations and sample depths with each method. This repository includes the Matlab code for repeating these sampling methods and TEF calculations using the data from the three estuary models listed above.

Date Collected
  • 2005 to 2012
Date Issued
  • 2025
Authors
Funding

This project is supported by National Science Foundation (NSF) OCE award 1944735. SDB model simulations (CSIDE) were developed through projects supported by NSF, and the Environmental Protection Agency through the North American Development Bank awarded to F. Feddersen and S.N. Giddings. SDB model development and production involved significant contributions from F. Feddersen, N. Kumar and J. McSweeney. The SIO Center for Coastal Studies and the Navy Marine Ecological Consortium technicians, contractors, and field crew as well as multiple volunteers helped collect observations that were used along with data from NOAA, CDIP, and the TRNERR for preliminary model validation within SDB performed by A. Rodriguez and N. Anidjar. SJF model simulations (Cascadia) were supported by an NSF OCE Postdoctoral Fellowship for S.N. Giddings and grants to B. Hickey, P. MacCready and N. Banas from the Coastal Ocean Program of the National Oceanic and Atmospheric Administration (NOAA) and the NSF as part of the PNWTOX (Pacific Northwest Toxin) project and award 2122420. Cascadia model development and production involved significant contributions from K.A. Davis and S. Siedlecki. C. Seaton and A. Baptista support the CR simulations through the Columbia River Inter-Tribal Fish Commission and CMOP. C. Seaton and A. Baptista support the CR simulations through the Columbia River Inter-Tribal Fish Commission and CMOP. The CR simulations used the Extreme Science and Engineering Discovery Environment (XSEDE), which was supported by National Science Foundation grant number ACI-1053575. The Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing HPC resources that have contributed to the research results (CR simulations) reported within this paper.

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Language
  • English
Identifier

Identifier: Charles Seaton: https://orcid.org/0000-0002-3031-839X

Identifier: Emily P. Lemagie: https://orcid.org/0000-0002-9824-3259

Identifier: Parker MacCready: https://orcid.org/0000-0002-8070-8062

Identifier: Sarah N. Giddings: https://orcid.org/0000-0003-0726-4781

Related Resources

    Primary associated publication

    • Lemagie, E. P., Giddings, S. N., MacCready, P., Seaton, C., & Wu, X. (2022). Measuring estuarine total exchange flow from discrete observations. Journal of Geophysical Research: Oceans, 127, e2022JC018960. https://doi.org/10.1029/2022JC018960

    Reference

    • Cascadia Simulations, PNWTOX - Pacific NorthWest TOXins project: https://pnwtox.ucsd.edu/

    • Giddings, S. N., & MacCready, P. (2017). Reverse estuarine circulation due to local and remote wind forcing, enhanced by the presence of along-coast estuaries. Journal of Geophysical Research: Oceans, 122, 10, 184–10, 205. https://doi.org/10.1002/2016JC012479

    • Karna, T., & Baptista, A. M. (2016). Evaluation of a long-term hindcast simulation for the columbia river estuary. Ocean Modelling, 99, 1–14. https://doi.org/10.1016/j.ocemod.2015.12.007

    • NADB Border 2020: Evaluating the 2017 Cross-border Wastewater Spill: https://sccoos.org/nadb-2017/

    • Wu, X., Feddersen, F., & Giddings, S. N. (2021). Characteristics and dynamics of density fronts over the inner to midshelf under weak wind conditions. Journal of Physical Oceanography, 51 (3), 789–808. https://doi.org/10.1175/JPO-D-20-0162.1

    • Wu, X., Feddersen, F., Giddings, S. N., Kumar, N., & Gopalakrishnan, G. (2020). Mechanisms of mid- to outer-shelf transport of shoreline-released tracers. Journal of Physical Oceanography, 50 (7), 1813–1837. https://doi.org/10.1175/JPO-D-19-0225.1

    • Zhang, Y., & Baptista, A. M. (2008). SELFE: A semi-implicit eulerian–lagrangian finite-element model for cross-scale ocean circulation. Ocean Modelling, 21 (3), 71–96. https://doi.org/10.1016/j.ocemod.2007.11.005

    Collection image

    • Image credit: Emily Lemagie. Cross-sections of annual-mean velocity and salinity in the Strait of Juan de Fuca (SJF, top row), Columbia River (CR, middle row), and San Diego Bay (SDB, bottom row) at the mouth (left column) and further upstream (right column). Shading is along-channel currents, with positive values (warm colors) indicating flow into the estuary. Contours are isohalines.

Data from: Measuring Estuarine Total Exchange Flow from Discrete Observations
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