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Measuring Estuarine Total Exchange Flow from Discrete Observations
  • +2
  • Emily Lemagie,
  • Sarah Nicole Giddings,
  • Parker MacCready,
  • Charles Seaton,
  • Xiaodong Wu
Emily Lemagie
NOAA Pacific Marine Environmental Laboratory (PMEL)

Corresponding Author:[email protected]

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Sarah Nicole Giddings
University of California, San Diego
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Parker MacCready
University of Washington
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Charles Seaton
CRITFC
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Xiaodong Wu
School of Oceanography, Shanghai Jiao Tong University
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Abstract

The exchange between estuaries and the coastal ocean is a key dynamical driver impacting nutrient and phytoplankton concentrations and regulating estuarine residence time, hypoxia, and acidification. Estuarine exchange flows can be particularly challenging to monitor because many systems have strong vertical and lateral velocity shear and sharp gradients in water properties that vary over space and time, requiring high-resolution measurements in order to accurately constrain the flux. The Total Exchange Flow (TEF) method provides detailed information about the salinity structure of the exchange, but requires observations (or model resolution) that resolve the time and spatial co-variability of salinity and currents. The goal of this analysis is to provide recommendations for measuring TEF with the most efficient spatial sampling resolution. Results from three realistic hydrodynamic models were investigated. These model domains included three estuary types: a bay (San Diego Bay), a salt-wedge (Columbia River), and a fjord (Salish Sea). Model fields were sampled using three different mooring strategies, varying the number of mooring locations (lateral resolution) and sample depths (vertical resolution) with each method. The exchange volume transport was more sensitive than salinity to the sampling resolution. Most ($>$90$\%$) of the exchange flow magnitude was captured by three to four moorings evenly distributed across the estuarine channel with a minimum threshold of 1-5 sample depths, which varied depending on the vertical stratification. These results can improve our ability to observe and monitor the exchange and transport of water masses efficiently with limited resources.