| 
     | 
    
   
     | 
     | 
    
   
     | 
    This slide show describes several Atlantic Ocean
    simulations performed using HYCOM with different vertical mixing schemes
    and with both hybrid and isopycnic vertical coordinates. Properties of
    HYCOM are outlined first. Model performance is then evaluated by comparing
    simulated fields to each other, to observed fields (Levitus climatology),
    and to fields simulated by the Miami Isopycnic Coordinate Ocean Model
    (MICOM). | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    Press button to jump forward to each section: | 
    
   
     | 
     | 
    
   
     | 
    I. The Model | 
    
   
     | 
    2. Model Simulations | 
    
   
     | 
    3. Surface/Mixed Layer Thermodynamical Fields | 
    
   
     | 
    4. Surface/Mixed Layer Dynamical Fields | 
    
   
     | 
    5. Cross-Sections | 
    
   
     | 
    6. Model Censuses | 
    
   
     | 
    7. Meridional Overturning Circulation and Heat
    Flux | 
    
   
     | 
    8. Regional Differences in Upper Ocean
    Variability | 
    
   
     | 
    9. Regional Mixed Layer Profiles | 
    
   
     | 
    10. Summary | 
    
   
     | 
    11. Referencess | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
     | 
     | 
    
   
     | 
    History | 
    
   
     | 
    Developed from MICOM version 2.8 | 
    
   
     | 
    See Bleck (1998) for a description of MICOM | 
    
   
     | 
    Hybrid coordinate scheme used in HYCOM | 
    
   
     | 
    Model equations written in generalized vertical
    coordinates | 
    
   
     | 
    Originally used in the Bleck and Boudra (1981)
    quasi-isopycnic model | 
    
   
     | 
    Numerical schemes could not handle zero
    thickness layers | 
    
   
     | 
    Minimum layer thickness was enforced | 
    
   
     | 
    The vertical coordinate became non-isopycnic in
    regions where the layers became too thin | 
    
   
     | 
    A hybrid (isentropic-sigma) vertical coordinate
    was used in the atmospheric model of Bleck and Benjamin (1993) | 
    
   
     | 
    The HYCOM isopycnic-level-sigma vertical
    coordinate scheme is an adaptation and extension of the Bleck/Benjamin
    algorithm | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    Major changes from MICOM | 
    
   
     | 
    New vertical coordinate scheme | 
    
   
     | 
    Multiple mixed layer models, including non-slab
    models | 
    
   
     | 
    Interior convection due to static instability
    (two layers exchange fluid when the upper one is more dense) | 
    
   
     | 
    Hydrostatic and momentum equations modified to
    handle non-isopycnic densities and horizontal density gradients | 
    
   
     | 
    Choice of temperature-salinity,
    temperature-density, or salinity-density advection | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    Vertical Coordinates | 
    
   
     | 
    Hybrid coordinates | 
    
   
     | 
    Nearsurface: z-coordinates | 
    
   
     | 
    Shallow water: sigma (terrain-following)
    coordinates | 
    
   
     | 
    Coordinates are isopycnic in the bulk of the
    ocean interior | 
    
   
     | 
    Isopycnic coordinates (MICOM mode) | 
    
   
     | 
    Hybrid Vertical Coordinate Scheme (part 1) | 
    
   
     | 
    In the open ocean, the coordinates are isopycnic
    except year the surface where minimum coordinate separation is enforced.
    The minimum separation differs for each layer, giving the user great
    flexibility to set the vertical coordinate structure in the z-coordinate
    domain. | 
    
   
     | 
    A cushion function described in Bleck and
    Benjamin (1993) provides a smooth transition between the isopycnic and
    z-coordinate domains. | 
    
   
     | 
    To activate the sigma coordinate domain, the
    user specifies the number of sigma coordinates n and the coordinate
    separation d. Vertical coordinates become terrain-following where bottom
    depth is less than n*d. In extremely shallow water, the coordinates revert
    to level coordinates. | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
     | 
    
   
     | 
    Hybrid Vertical Coordinate Scheme (part 2) | 
    
   
     | 
    In the deep ocean, the isopycnic-level
    coordinate transition is performed as follows: | 
    
   
     | 
    If the density of a given layer does not equal
    the isopycnic reference density, the interfaces bounding the layer are
    adjusted to return the density to its reference value | 
    
   
     | 
    If the layer is too light, the interface below
    is moved downward so that the entrained denser water returns the density to
    its reference value | 
    
   
     | 
    If the layer is too dense, the interface above
    is moved upward in the same manner | 
    
   
     | 
    If minimum coordinate separation is violated
    near the ocean surface, the cushion function is used to re-calculate the
    vertical coordinate location, prohibiting the restoration of isopycnic
    conditions. | 
    
   
     | 
    Two of the thermodynamical variables T, S, and
    density are mixed across the moving interfaces (user selectable), with the
    third calculated from the equation of state. If T and S are mixed, exact
    isopycnal density is not restored, but repeated application keeps the error
    small. | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    Horizontal Advection | 
    
   
     | 
    Two of the thermodynamical variables T, S, and
    density are advected (user selectable), with the third calculated from the
    equation of state. | 
    
   
     | 
    If HYCOM is run in MICOM mode, advection is
    performed as in MICOM 2.8, with T and S advected in layer 1 (the mixed
    layer) and S only advected in the isopycnic layers. | 
    
   
     | 
     | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
     | 
    
   
     | 
    Mixing Schemes | 
    
   
     | 
    K-Profile Parameterization | 
    
   
     | 
    Kraus-Turner Mixed Layer Model | 
    
   
     | 
    Two Kraus-Turner mixed layer models available
    for hybrid coordinates | 
    
   
     | 
    A third Kraus-Turner model is available when
    HYCOM is run in MICOM mode | 
    
   
     | 
    Handles detrainment of water into isopycnic
    layers | 
    
   
     | 
    Same algorithm used in MICOM 2.8 | 
    
   
     | 
    With hybrid coordinates, choice of explicit
    (MICOM-like) or implicit (KPP-like) interior diapycnal mixing | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
     | 
    
   
     | 
    K-Profile Parameterization (KPP) | 
    
   
     | 
    Developed by Large, Mc Williams, and Doney
    (1994) | 
    
   
     | 
    Governs Vertical Mixing of Entire Water Column | 
    
   
     | 
    Parameterizes Several Physical Processes | 
    
   
     | 
    Surface boundary layer | 
    
   
     | 
    Mechanical wind mixing | 
    
   
     | 
    Buoyancy flux forcing | 
    
   
     | 
    Convective overturning | 
    
   
     | 
    Non-local (counter-gradient) fluxes | 
    
   
     | 
    Diapycnal mixing in ocean interior | 
    
   
     | 
    Instability due to resolved vertical shear | 
    
   
     | 
    Background internal wave mixing | 
    
   
     | 
    Double diffusion mixing (diffusive convection
    and salt fingering) | 
    
   
     | 
    Can Run at Relatively Low Vertical Resolution | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
     | 
    
   
     | 
    KPP Procedure (part 1): | 
    
   
     | 
    Apply surface thermodynamical and momentum flux
    forcing | 
    
   
     | 
    Calculate K profiles for interior diapycnal
    mixing from surface to bottom | 
    
   
     | 
    Diagnose turbulent boundary layer thickness | 
    
   
     | 
    Minimum depth H where a bulk Richardson number
    exceeds critical value | 
    
   
     | 
    Turbulent boundary layer eddies can penetrate to
    depth H where the fluid becomes stable relative to local buoyancy and
    velocity | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
     | 
    
   
     | 
    KPP Procedure (part 2) | 
    
   
     | 
    Calculate surface boundary layer k profiles for
    T, S, and momentum | 
    
   
     | 
    Vertical diffusivity for T is parameterized as | 
    
   
     | 
     | 
    
   
     | 
    where       
    is the nonlocal transport term | 
    
   
     | 
    Diffusivity is parameterized as | 
    
   
     | 
    where w is a turbulent velocity scale that is a
    function of the stability of the forcing, G is a 3rd order
    polynomial shape function, and sigma is a scale depth varying from 0 to 1
    over the depth range H | 
    
   
     | 
    Choose coefficients of G to match the interior
    and boundary layer K profiles, producing a final K profile with a
    continuous first vertical derivative | 
    
   
     | 
    Solve diffusion equation semi-implicitly with
    two temporal iterations | 
    
   
     | 
    Diagnose mixed layer thickness along with T, S,
    u, and v | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
     | 
    
   
     | 
    Implementation of Kraus-Turner mixing with
    hybrid coordinates | 
    
   
     | 
    Mixed layer base is not a vertical coordinate
    interface as in MICOM | 
    
   
     | 
    Must keep track of T, S, and density jumps
    across the mixed layer base | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    Two hybrid-coordinate K-T mixed layer models
    have been developed. | 
    
   
     | 
    K-T 1: Full model | 
    
   
     | 
    This version has a prognostic mixed layer base.
    At a given grid point, the base is contained within layer k and divides
    this layer into two sublayers (see diagram on previous slide). T and S are
    estimated within these sublayers by “unmixing” each variable, then the TKE
    balance is calculated as in the MICOM K-T mixed layer. | 
    
   
     | 
    K-T 2: Simplified model | 
    
   
     | 
    This version was developed by Rainer Bleck to
    avoid unmixing and the associated computational overhead. At each grid
    point, the mixed layer base always resides on a vertical coordinate
    interface. | 
    
   
     | 
    When HYCOM is run in MICOM mode, the MICOM 2.8
    Kraus-Turner mixed layer model is used. The mixed layer base coincides with
    vertical coordinate interface 2 (layer 1 is the slab mixed layer). Another
    major difference from the hybrid-coordinate K-T models is the detrainment
    algorithm, since the density of detrained water must match the isopycnic
    reference density of the layer accepting the water. | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    General Properties of Model Simulations | 
    
   
     | 
    Domain | 
    
   
     | 
    Atlantic Ocean basin, 20S to 62N | 
    
   
     | 
    Resolution: 2 degrees horizontal, 22 layers
    vertical | 
    
   
     | 
    Forcing | 
    
   
     | 
    Climatological annual cycle forcing derived from
    COADS | 
    
   
     | 
    Driven by vector wind stress, wind speed, air
    temperature and humidity, precipitation, longwave and shortwave surface
    radiation | 
    
   
     | 
    Model runs and analysis | 
    
   
     | 
    25-year spinup from zonally-averaged climatology
    [p(lat)] derived from Levitus climatology | 
    
   
     | 
    One-year and five-year analysis runs with fields
    archived monthly | 
    
   
     | 
    Analyze year 26, winter (Feb.) and summer (Aug.) | 
    
   
     | 
    Analyze 5-year time series, years 26-30 | 
    
   
     | 
    Minimum layer thickness in the z-coordinate
    domain set to 10 m for all layers | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    Primary Comparisons: | 
    
   
     | 
    Five model simulations compared to Levitus
    climatology | 
    
   
     | 
    HYCOM KPP | 
    
   
     | 
    HYCOM KPP (theta-S) | 
    
   
     | 
    HYCOM K-T Implicit | 
    
   
     | 
    HYCOM K-T MICOM Mode | 
    
   
     | 
    HYCOM K-T Explicit | 
    
   
     | 
    The primary comparisons evaluate the primary
    vertical mixing schemes plus the consequences of selecting theta-S
    advection (where T is not conserved) instead of T-S advection | 
    
   
     | 
     | 
    
   
     | 
    Other Comparisons: | 
    
   
     | 
    HYCOM K-T MICOM mode vs. MICOM 2.8 | 
    
   
     | 
    Demonstrates expected strong similarity between
    the models | 
    
   
     | 
    HYCOM K-T 1 vs. HYCOM K-T 2 | 
    
   
     | 
    Compare performance of the two hybrid K-T mixed
    layer models | 
    
   
     | 
    HYCOM KPP (Rlx. BC) vs. Levitus Climatology | 
    
   
     | 
    Compare “most realistic” simulation to
    observations | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    Primary Comparisons: | 
    
   
     | 
    Five model simulations compared to Levitus
    climatology | 
    
   
     | 
    HYCOM KPP | 
    
   
     | 
    HYCOM KPP (theta-S) | 
    
   
     | 
    HYCOM K-T Implicit | 
    
   
     | 
    HYCOM K-T MICOM Mode | 
    
   
     | 
    HYCOM K-T Explicit | 
    
   
     | 
    The primary comparisons evaluate the primary
    vertical mixing schemes plus the consequences of selecting theta-S
    advection (where T is not conserved) instead of T-S advection | 
    
   
     | 
    Other Comparisons: | 
    
   
     | 
    HYCOM K-T MICOM mode vs. MICOM 2.8 | 
    
   
     | 
    Demonstrates expected strong similarity between
    the models | 
    
   
     | 
    HYCOM K-T 1 vs. HYCOM K-T 2 | 
    
   
     | 
    Compare performance of the two hybrid K-T mixed
    layer models | 
    
   
     | 
    HYCOM KPP (Rlx. BC) vs. Levitus Climatology | 
    
   
     | 
    Compare “most realistic” simulation to
    observations | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    Primary Comparisons: | 
    
   
     | 
    Five model simulations compared to Levitus
    climatology | 
    
   
     | 
    HYCOM KPP | 
    
   
     | 
    HYCOM KPP (theta-S) | 
    
   
     | 
    HYCOM K-T Implicit | 
    
   
     | 
    HYCOM K-T MICOM Mode | 
    
   
     | 
    HYCOM K-T Explicit | 
    
   
     | 
    The primary comparisons evaluate the primary
    vertical mixing schemes plus the consequences of selecting theta-S
    advection (where T is not conserved) instead of T-S advection | 
    
   
     | 
    Other Comparisons: | 
    
   
     | 
    HYCOM K-T MICOM mode vs. MICOM 2.8 | 
    
   
     | 
    Demonstrates expected strong similarity between
    the models | 
    
   
     | 
    HYCOM K-T 1 vs. HYCOM K-T 2 | 
    
   
     | 
    Compare performance of the two hybrid K-T mixed
    layer models | 
    
   
     | 
    HYCOM KPP (Rlx. BC) vs. Levitus Climatology | 
    
   
     | 
    Compare “most realistic” simulation to
    observations | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
     | 
    
   
     | 
    The comparisons described in the previous slide
    will be presented for meridional cross-sections at 33W. | 
    
   
     | 
    Other cross-sections are also presented | 
    
   
     | 
    65W to focus on the subtropical mode water | 
    
   
     | 
    Equator to focus on the equatorial current
    structure | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
     | 
    
   
     | 
    Two types of model censuses were conducted: | 
    
   
     | 
    Layer thickness and total heat content evolution
    during model spinup | 
    
   
     | 
    Documents climate drift during spinup | 
    
   
     | 
    Volumetric T-S censuses | 
    
   
     | 
    Illustrates water mass distribution | 
    
   
     | 
     | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    The following three slides illustrate layer
    thickness and total heat content evolution during the 25-year spinups of
    six of the HYCOM simulations. | 
    
   
     | 
    Results are similar for all six cases. | 
    
   
     | 
    Model adjustments in the upper ocean have been
    largely completed after the 25-year spinup | 
    
   
     | 
    Significant adjustments of intermediate and deep
    water are still occurring after 25 years. These large adjustments occur in
    part because the p(lat) initialization was not accurate at these depths. | 
    
   
     | 
    The subsequent four slides present the
    volumetric T-S censuses. | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
    
   
     | 
    In the following slide, the annual cycle of
    meridional heat flux is contoured as a function of month and latitude for
    five of the HYCOM simulations. | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    Time series of upper-ocean variability are
    presented for the eight model grid points shown on the following slide. The
    points are: | 
    
   
     | 
    NAC (North Atlantic Current) | 
    
   
     | 
    STMW (Subtropical Mode Water formation region) | 
    
   
     | 
    SARG (Sargasso Sea, interior western subtropical
    gyre) | 
    
   
     | 
    ESTG (interior eastern subtropical gyre) | 
    
   
     | 
    EBC (subtropical eastern boundary current) | 
    
   
     | 
    CRBN (Caribbean Sea) | 
    
   
     | 
    TRDW (North Atlantic Trade Winds) | 
    
   
     | 
    EQTR (Equator) | 
    
   
     | 
    Two sets of analysis are presented for
    temperature | 
    
   
     | 
    One year time series | 
    
   
     | 
    Five year time series | 
    
   
     | 
    Three cases are compared | 
    
   
     | 
    HYCOM KPP | 
    
   
     | 
    HYCOM K-T Implicit | 
    
   
     | 
    HYCOM MICOM Mode | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    Time series of upper-ocean variability are
    presented for the ten model grid points shown on the following slide. The
    points are: | 
    
   
     | 
    LABS (Labrador Sea) | 
    
   
     | 
    SLOP (Slope Water) | 
    
   
     | 
    NAC (North Atlantic Current) | 
    
   
     | 
    STMW (Subtropical Mode Water formation region) | 
    
   
     | 
    SARG (Sargasso Sea, interior western subtropical
    gyre) | 
    
   
     | 
    ESTG (interior eastern subtropical gyre) | 
    
   
     | 
    EBC (subtropical eastern boundary current) | 
    
   
     | 
    CRBN (Caribbean Sea) | 
    
   
     | 
    TRDW (North Atlantic Trade Winds) | 
    
   
     | 
    EQTR (Equator) | 
    
   
     | 
    Two cases are compared | 
    
   
     | 
    HYCOM KPP | 
    
   
     | 
    HYCOM MICOM Mode | 
    
   
   
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  | 
  
   | 
 
 
  
  
  
  
   
     | 
     | 
     | 
    
   
     | 
    The use of hybrid vertical coordinates and
    improved vertical mixing algorithms improved the quality of model
    simulations. | 
    
   
     | 
    Improved representation of subtropical mode
    water. | 
    
   
     | 
    Improved horizontal mixed layer salinity
    distribution in the subtropical gyre. | 
    
   
     | 
    Improved resolution of tropical upper-ocean
    flow. | 
    
   
     | 
    Explicit resolution of upper-ocean wind driven
    flow | 
    
   
     | 
    HYCOM run in MICOM mode produced results
    extremely close to MICOM 2.8, indicating that code changes in HYCOM did not
    degrade the quality of the solution. | 
    
   
     | 
    Many observed shortcomings of these HYCOM
    simulations can be traced to the lack of an ice model, surface forcing
    errors, the simple initial conditions, and the lack of river runoff. | 
    
   
     | 
    The choice of which two thermodynamical
    variables are advected and also mixed in the vertical coordinate adjustment
    algorithm did not have a noticeable influence on the solutions even though
    in the KPP (theta-S) experiment, temperature was not conserved. | 
    
   
   
   | 
 
 
  
  
  
  
   
     | 
     | 
    
   
     | 
    Bleck, R., 1998: Ocean modeling in isopycnic
    coordinates. Chapter 18 in Ocean Modeling and Parameterization, E. P.
    Chassignet and J. Verron, Eds., NATO Science Series C: Mathematical and
    Physical Sciences, Vol. 516, Kluwer Academic Publishers, 4223-448. | 
    
   
     | 
     | 
    
   
     | 
    Bleck, R. and D. Boudra, 1981: Initial testing
    of a numerical ocean circulation model using a hybrid (quasi-isopycnic)
    vertical coordinate. J. Phys. Oceanogr., 11, 755-770. | 
    
   
     | 
     | 
    
   
     | 
    Bleck, R. and S. Benjamin, 1993: Regional
    weather prediction with a model combining terrain-following and isentropic
    coordinates, Part 1: Model description. Mon. Wea. Rev., 121, 1770-1785. | 
    
   
     | 
     | 
    
   
     | 
    Large, W. G., J. C. Mc Williams, and S. C.
    Doney, 1994: Oceanic vertical mixing: a review and a model with a nonlocal
    boundary layer parameterization. Rev. Geophys. 32, 363-403. | 
    
   
     | 
     | 
    
   
   
   |