1988
DOI: 10.1016/s0422-9894(08)70545-2
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Long-Term Simulations of Upper Ocean Vertical Mixing Using Models of Different Types

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Cited by 9 publications
(5 citation statements)
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“…nocline is inherent in the parameterization and would be due to decreasing buoyancy [e.g., Mourn and Osborn, 1986]. The use of such eddy diffusivity parameterization is still under discussion (see Gaspar et al [1988] or Cummins et al [1990]), but similar vertical distributions of K(z) were successfully used to simulate the vertical distribution of phytoplankton biomass, nutrients, and dissolved oxygen for the same area or in similar ecological situations in previous studies [Zakardfian and Varela et al, 1992Varela et al, , 1994]. In particular, the depth value of [Kiefer and Mitchell, 1983] [Williams et al, 1979] molar ratio for oxygen consumption during ammonia oxidation [Kaplan, 1983] molar ratio for oxygen consumption during nitrite oxidation [Kaplan, 1983] molar ratio for oxygen consumption during ammonia excretion by zooplankton 3 piston velocity of the O2 atmosphere/ocean exchange function thickness of the imposed upper mixed layer horizontal length scale of the upward motions zone time step of the Eulerian grid spatial increment of the Eulerian grid (Sz = H = 10 m for the single upper mixed layer grid point) Here var denotes variables by opposition to parameters.…”
Section: Physical Processesmentioning
confidence: 99%
“…nocline is inherent in the parameterization and would be due to decreasing buoyancy [e.g., Mourn and Osborn, 1986]. The use of such eddy diffusivity parameterization is still under discussion (see Gaspar et al [1988] or Cummins et al [1990]), but similar vertical distributions of K(z) were successfully used to simulate the vertical distribution of phytoplankton biomass, nutrients, and dissolved oxygen for the same area or in similar ecological situations in previous studies [Zakardfian and Varela et al, 1992Varela et al, , 1994]. In particular, the depth value of [Kiefer and Mitchell, 1983] [Williams et al, 1979] molar ratio for oxygen consumption during ammonia oxidation [Kaplan, 1983] molar ratio for oxygen consumption during nitrite oxidation [Kaplan, 1983] molar ratio for oxygen consumption during ammonia excretion by zooplankton 3 piston velocity of the O2 atmosphere/ocean exchange function thickness of the imposed upper mixed layer horizontal length scale of the upward motions zone time step of the Eulerian grid spatial increment of the Eulerian grid (Sz = H = 10 m for the single upper mixed layer grid point) Here var denotes variables by opposition to parameters.…”
Section: Physical Processesmentioning
confidence: 99%
“…Accordingly, they are often referred to as kinetic energy (KE) models. Without being as fast as the simplest integral models or as detailed as the high-order closure schemes, they provide realistic simulations of the vertical turbulent mixing with a reasonable computational efficiency [Martin, 1986;Gaspar et al, 1988]. In addition, scales, from the inertial period to a few days.…”
Section: Introductionmentioning
confidence: 99%
“…The underlying theories of these two model classes have been discussed and critiqued by many authors [e.g., Woods, 1977;Niiler and Kraus, 1977;Harleman, 1982;Kraus, 1988;Hearn, 1988;McCormick and Meadows, 1988;Henderson-Sellers and Davies, 1989]. Intermodel comparisons have been made to illustrate the strengths and weaknesses in the performance of different mixed-layer and eddy diffusion models [e.g., Martin, 1985;Gaspar et al, 1988;McCormick and Meadows, 1988].…”
Section: Introductionmentioning
confidence: 99%
“…To meet this objective, an eddy diffusion model was selected. Models of this class have been used successfully to simulate thermal stratification in a variety of limnologic studies [e.g., Babajimopoulos and Papadopoulos, 1986;Kirk, 1988;Aldama et al, 1989] and have been shown to predict adequately both surface temperature and the seasonal storage of heat [e.g., Martin, 1985;Gaspar et al, 1988;McCormick and Meadows, 1988]. In addition to their predictive capabilities, eddy diffusion models are numerically stable over long periods of integration, during which propagation of errors seriously could affect model results.…”
Section: Introductionmentioning
confidence: 99%
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