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The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
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Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton
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Advances in estuarine physics.

Parker MacCready1, W Rockwell Geyer

  • 1School of Oceanography, University of Washington, Seattle, Washington 98195-5351, USA. parker@ocean.washington.edu

Annual Review of Marine Science
|December 15, 2010
PubMed
Summary

Recent research enhances understanding of estuarine circulation and salinity structure, particularly in long, partially mixed systems. Advances in numerical methods reveal the critical role of salt intrusion dynamics over time.

Area of Science:

  • Estuarine physics
  • Coastal oceanography
  • Hydrodynamics

Background:

  • Estuarine circulation and salinity structure are complex phenomena.
  • Understanding these systems is crucial for coastal management and ecological studies.
  • Previous models often oversimplified the dynamics within tidal cycles.

Purpose of the Study:

  • To review recent advances in estuarine circulation and salinity structure.
  • To highlight the improved understanding of dynamics in well- and partially mixed estuaries.
  • To discuss new mixing parameterizations for tidally averaged equations.

Main Methods:

  • Review of recent scientific literature.
  • Focus on theoretical and numerical advancements.
  • Analysis of coupled momentum and salt equations.

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Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island
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Main Results:

  • Improved understanding of the dynamics of long, partially mixed estuarine systems.
  • Recognition of the time-dependent nature of salt intrusion length as a key factor.
  • Enhanced realism in simplified tidally averaged physics through better understanding of intra-tidal and cross-sectional dynamics.

Conclusions:

  • Recent advances provide a more nuanced view of estuarine processes.
  • New insights enable the development of more accurate predictive models.
  • Physically plausible mixing parameterizations are now achievable for tidally averaged estuarine models.