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  • 1
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Physics of Fluids 12 (2000), S. 2569-2594 
    ISSN: 1089-7666
    Source: AIP Digital Archive
    Topics: Physics
    Notes: Our objective in this study is to study inhomogeneous stratified shear flows using large eddy simulation; stratified pressure-gradient-driven channel flow was selected. The flows can be separated into three regimes: buoyancy affected, buoyancy controlled, and buoyancy dominated flows. The regime boundaries are defined by Richardson and Reynolds numbers based on the friction velocity. Buoyancy affected flows remain actively turbulent and attain a statistical steady state that resembles a lower Reynolds number unstratified flow. Flows in the buoyancy controlled regime are not in equilibrium. In the cases studied, an asymmetry develops with respect to the channel centerline leading to one-sided turbulence. Eventually, the "inactive" half undergoes a transition initiated by the active half and symmetry is restored. At higher Richardson numbers, the flows are buoyancy dominated, the near-wall burst-sweep process is completely disrupted and turbulence production ceases, leading to relaminarization. In relaminarizing flows, the inner and outer regions behave nearly independently. While the inner region turbulence decays monotonically, large-scale restratification, internal waves, and potential energy-driven motions are observed in the outer region. The simulation results are used to construct a physical model of stratified wall-bounded flows. Stable stratification weakens the interaction between the inner and outer regions by decreasing the vertical transport, leading to near-decoupling of the two layers at strong enough stratification. The notion that the disappearance of the log region marks the onset of buoyancy control provides a criterion for estimating the Richardson number delineating the transition from buoyancy affected to buoyancy controlled flows. Data that should be useful for creating parametrizations for prediction of stratified flows are also presented. © 2000 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 2
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    PANGAEA
    In:  Supplement to: Boch, Charles A; Litvin, Steven Y; Micheli, Fiorenza; De Leo, Giulio; Aalto, Emil A; Lovera, Christopher; Woodson, C Brock; Monismith, Stephen; Barry, J P (2017): Effects of current and future coastal upwelling conditions on the fertilization success of the red abalone (Haliotis rufescens). ICES Journal of Marine Science, https://doi.org/10.1093/icesjms/fsx017
    Publication Date: 2024-03-15
    Description: Acidification, deoxygenation, and warming are escalating changes in coastal waters throughout the world ocean, with potentially severe consequences for marine life and ocean-based economies. To examine the influence of these oceanographic changes on a key biological process, we measured the effects of current and expected future conditions in the California Current Large Marine Ecosystem on the fertilization success of the red abalone (Haliotis rufescens). Laboratory experiments were used to assess abalone fertilization success during simultaneous exposure to various levels of seawater pH (gradient from 7.95 to 7.2), dissolved oxygen (DO) (60 and 180 µm/kg SW) and temperature (9, 13, and 18 °C). Fertilization success declined continuously with decreasing pH but dropped precipitously below a threshold near pH 7.55 in cool (9 °C upwelling) to average (13 °C) seawater temperatures. Variation in DO had a negligible effect on fertilization. In contrast, warmer waters (18 °C) often associated with El Nino Southern Oscillation conditions in central California acted antagonistically with decreasing pH, largely reducing the strong negative influence below the pH threshold. Experimental approaches that examine the interactive effects of multiple environmental drivers and also strive to characterize the functional response of organisms along gradients in environmental change are becoming increasingly important in advancing our understanding of the real-world consequences of changing ocean conditions.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Comment; Date; Eggs; Eggs, abnormal; Eggs, four-cell stage; Eggs, two-cell stage; Eggs, unfertilized; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haliotis rufescens; Individuals; Laboratory experiment; Mollusca; Name; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Potentiometric; Registration number of species; Reproduction; Salinity; Sample ID; Single species; Species; Temperate; Temperature; Temperature, water; Time in hours; Time in minutes; Time in seconds; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 9002 data points
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  • 3
    Publication Date: 2022-05-25
    Description: Author Posting. © Oceanography Society, 2007. This article is posted here by permission of Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 20, 3 (2007): 40-53.
    Description: Population connectivity is inherently bio-physical: it is determined by physical transport and dispersion, as well as biological processes such as timing of spawning, larval behavior, and mortality. Knowledge of connectivity is essential for understanding ecosystem responses to changing environmental conditions. It establishes the spatial scales over which a population is connected, and in turn the primary spatial scale of population interactions and ecosystem dynamics. Concepts in population connectivity were initially developed in terrestrial ecology, where dispersal may occur at different life stages. In the simplest form, a one-dimensional dispersal curve describes the distribution of settlers away from a source region as a function of distance. As this spatial distribution varies in time, the “dispersal kernel” defines a spatial probability density function of settlers aggregated over time (see, e.g., Okubo and Levin, 2002). This dispersal kernel may be three dimensional, but is often reduced to two dimensions (e.g., animals on a plain) or one dimension (e.g., animals living along the land-water interface).
    Description: GG received support from the Director of Research at WHOI. SGM is grateful to NSF Ocean Sciences for their support through grants OCE0425312, OCE 0452800, and OCE 0622967. JLL thanks NSF Ocean Sciences for support through grants OCE-9907884, OCE-0326110, and OCE-0528575 and the State of California for support through the Coastal Ocean Current Mapping Program (State Coastal Conservancy)—a component of CeNCOOS, the Central and Northern California Ocean Observing System.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 4
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2011. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 116 (2011): C10019, doi:10.1029/2011JC007144.
    Description: Measured turbulence power spectra, cospectra, and ogive curves from a shallow tidal flow were scaled using Monin-Obukhov similarity theory to test the applicability to a generic tidal flow of universal curves found from a uniform, neutrally stable atmospheric boundary layer (ABL). While curves from individual 10 min data bursts deviate significantly from similarity theory, averages over large numbers of sufficiently energetic bursts follow the general shape. However, there are several differences: (1) Variance in the measured curves was shifted toward higher frequencies, (2) at low frequencies, velocity spectra were significantly more energetic than theory while cospectra were weaker, and (3) spectral ratios of momentum flux normalized by turbulent kinetic energy (TKE) indicate decreased fluxes and/or elevated TKE levels. Several features of the turbulence structure may explain these differences. First, turbulent dissipation exceeded production, indicating nonequilibrium turbulence, possibly from advection of TKE. Indeed, using the production rate rather than dissipation markedly improves agreement in the inertial subrange. Second, spectral lag of the largest eddies due to inhomogeneous boundary conditions and decaying turbulence could explain spectral deviations from theory at low frequencies. Finally, since the largest eddies dominate momentum transfer, the consequence of the cospectra difference is that calculated ogive curves produced smaller total momentum fluxes compared to theory, partly because of countergradient fluxes. While ABL similarity scaling applied to marine bottom boundary layers (MBBLs) will produce curves with the general shape of the universal curves, care should be taken in determining details of turbulent energy and stress estimates, particularly in shallow and inhomogeneous MBBLs.
    Description: The data were collected with support from NSF grant ECCS‐0308070 to SGM as part of the LOBO program (Ken Johnson, P.I.). The analysis presented here was supported by the Department of Defense (DoD) through the National Defense Science and Engineering Graduate Fellowship (NDSEG) Program and through ONR grant N00014‐ 10‐1‐0236 (Scientific officers: Thomas Drake, C. Linwood Vincent, and Terri Paluszkiewicz). Additional support was provided by the Stanford Graduate Fellowship (SGF).
    Keywords: Countergradient momentum fluxes ; Nonequilibrium turbulence ; Shallow tidal flow ; Similarity scaling ; Spectral lag ; Turbulence spectra and cospectra
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 5
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2011. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 41 (2011): 2223–2241, doi:10.1175/2011JPO4344.1.
    Description: Results are presented from an observational study of stratified, turbulent flow in the bottom boundary layer on the outer southeast Florida shelf. Measurements of momentum and heat fluxes were made using an array of acoustic Doppler velocimeters and fast-response temperature sensors in the bottom 3 m over a rough reef slope. Direct estimates of flux Richardson number Rf confirm previous laboratory, numerical, and observational work, which find mixing efficiency not to be a constant but rather to vary with Frt, Reb, and Rig. These results depart from previous observations in that the highest levels of mixing efficiency occur for Frt 〈 1, suggesting that efficient mixing can also happen in regions of buoyancy-controlled turbulence. Generally, the authors find that turbulence in the reef bottom boundary layer is highly variable in time and modified by near-bed flow, shear, and stratification driven by shoaling internal waves.
    Description: Funding was provided by grants from the National Oceanic and Atmospheric Administration’s National Undersea Research Program, National Science Foundation Grants OCE-0622967 and OCE- 0824972 to SGM, and the Singapore Stanford Program. Kristen Davis was supported by a National Defense Science and Engineering Graduate Fellowship and an ARCS Foundation Fellowship.
    Keywords: Boundary layer ; Turbulence ; Bottom currents ; Mixing ; Internal waves
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 6
    Publication Date: 2022-10-31
    Description: Dataset: Surface Irradiance
    Description: Surface irradiance measured on the roof of the Monterey Bay Aquarium (36.62 °N, 121.90 °W) from June to October 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822517
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Surface irradiance
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 7
    Publication Date: 2022-10-31
    Description: Dataset: Nighttime Surface Chlorophyll a
    Description: Nighttime surface chlorophyll-a concentrations at the MBARI OA1 Buoy (36° 37.373’ N, 121 ° 54.000’ W) from June to October 2018 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822494
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Chlorophyll a
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
    Publication Date: 2022-10-31
    Description: Dataset: Kelp forest pumping data - pH
    Description: pH measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/826162
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; In situ pumping ; PH
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
    Publication Date: 2022-10-31
    Description: Dataset: ADCP - Inside Kelp Forest
    Description: Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/826431
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest/outside kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Current velocity
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 10
    Publication Date: 2022-10-31
    Description: Dataset: Kelp Forest Estimated Carbonate Parameters
    Description: Kelp forest mooring DIC, TA, pCO2, and aragonite saturation state estimations inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/823008
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; DIC ; Alkalinity ; Omega (aragonite) ; PCO2
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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