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GCSS-DIME Homepage

DYCOMS-II Field Campaign

Ninth GCSS Boundary Layer Cloud Working Group Workshop

9th GCSS BL Cloud Workshop Home
Overview
Output
Revisions
Results

Setup of Simulations

Model Grid

The model domain should be 6.4 × 6.4 × 1.5 km with Δx = Δy = 50 m (nx = ny = 128) and Δz = 5m near the surface and the initial inversion at 795 m. Those able to use a stretched grid should use nz = 96 with Δz following a sin2 stretching within the boundary layer, a 125-m deep region with Δz = 5 m, and Δz increasing above, as seen below and computed in this Fortran source code.

Stretched vertical grid.

As guidance for Boussinesq models, the air density at the surface and at the initial altitude of the inversion are 1.21 and 1.12 kg/m3, respectively.

For our bin microphysics model, we use 20 bins (with geometrically progressing particle mass) to resolve each of the aerosol and cloud droplet size distributions over particle radii ranges of 0.01—5 and 1—500 μm respectively.

Initialization

The initial profiles of winds and thermodynamics, in which the liquid-water potential temperature &thetal = (p0/p)Rd/cp(T—L ql/cp), with p0 = 1000 hPa, Rd = 83143/28.966 = 287.04 J/kg/K, cp = 1004 J/kg/K, and L = 2.5 MJ/kg, and the mixing ratio of total moisture qt = qv + ql are given below (thanks to Margreet van Zanten and Bjorn Stevens for providing these measurements), in which z is in units of meters, inversion height zi = 795 m, and surface pressure psfc = 1017.8 hPa.

u =  3 + 4.3 z / 1000 m/s
v = –9 + 5.6 z / 1000 m/s
&thetal =
288.3 K if z < zi
295 + (z &ndash zi)1/3 K otherwise
qt =
9.45 g/kg if z < zi
5 - 3( 1 - exp( (zi–z)/500 ) ) g/kg otherwise

We suggest translating the model domain to minimize numerical errors associated with advection; we translate the DHARMA domain at 5 and -5.5 m/s in the x and y directions, respectively.

We pseudo-randomly perturb initial temperatures within the boundary layer about their mean values with an amplitude of 0.1 K. We suggest initializing TKE in prognostic subgrid-scale models at 1 m2/s2.

Models with parameterized precipitation should use a uniform cloud droplet concentration N = 55 cm-3, if possible. If sedimentation of cloud droplets is not already treated in a model, it should be treated by assuming a log-normal size distribution (geometric standard deviation &sigmag = 1.5) of droplets falling in a Stokes regime, in which the sedimentation flux is given by F = c (3/(4 π&rholN))2/3 (ρql)5/3 exp( 5 ln2&sigmag ) where c = 1.19 × 108 m-1 s-1 (Rogers and Yau, 1989), and &rhol and &rho are the density of liquid water and air. The divergence of the sedimentation flux should appear as sink and source terms in the qt and &thetal equations.

Models that predict the number concentration of droplets and thus require CCN as input should assume the bimodal distribution described below. The aerosol number concentrations in the two modes should be adjusted, through trial and error, to result in an average droplet concentration of N = 55 cm-3 in cloudy grid cells. It would be preferable to keep the total aerosol number fixed at 190 cm-3 when adjusting the numbers in the two modes; in practice it is unlikely that the particles in the nucleation mode (the smaller mode) will ever be activated, so it is likely that the total aerosol number in the accumulation mode is all that matters.

The aerosol size distribution within each grid cell should be diagnosed at the beginning of each microphysical (sub)step by subtracting the number of droplets in the grid cell from the large end of the initial aerosol size distribution. The aerosol are assumed to be composed of ammonium bisulfate, which gives a good fit to the CCN spectra below the cloud, as seen below (thanks to Markus Petters and Jefferson Snider for providing the UWyo aerosol and CCN data). Its dry density is 1.78 g/cm3, molecular weight is 115 g/mol, and two ions are dissolved per molecule.

Sub-cloud measured aerosol size distribution (solid line) and bimodal log-normal fit (dotted), transformed to CCN activation spectra (right) by assuming ammonium bisulfate composition. Measured CCN median plotted in right panel with symbols +/- standard deviation. Dark solid line in left panel denotes range of CCN measurements.

Parameters for log-normal aerosol size distributions, fit to measurements below cloud base, are given below. The vertical profiles of all parameters should be independent of altitude in the simulations.

Number (cm-3) 125 65
Mode radius (μm) 0.011 0.06
Geom. Std. Deviation 1.2 1.7
Bin microphysics model should initialize their model domain without water droplets, which implies that the incipient cloud layer will be initially supersaturated. However, activating large numbers of the Aitken-mode particles in the prescribed aerosol distribution during spin-up would hamper precipitation development relative to parameterized microphysics models. To avoid this source of divergence between model simulations with and without bin microphysics, bin microphysics models should limit the maximum supersaturation used for droplet activation to not exceed 1% during the first hour of the simulation, which should result in activation of not much more than 70 cm-3 droplets during that time. Note that this supersaturation limit should only be applied to droplet activation; the supersaturation used for condensational growth should not be restricted.

Forcings

Subsidence
A uniform value of the large-scale divergence of the horizontal winds is assumed to be D = 3.75·10-6 s-1, giving a large-scale vertical wind of w = -Dz, which should appear as a source term of each variable &phi only as w∂φ/∂z.

Coriolis
The geostrophic winds should be the same as the initial winds given above, and the latitude is 31.5°N.

Radiation
Radiative heating rates should be computed every time step from the divergence of the radiative flux profile in each model column using the same parameterization as in the 8th BL Cloud Workshop:

F(z) = F0 exp(-Q(z,∞)) + F1 exp(-Q(0,z)) + αρicpD H(z-zi) ( 0.25(z - zi)4/3 + zi(z - zi)1/3)

where Q(z1,z2) is the vertical integral of (&kappa &rho ql) from z1 to z2, &alpha = 1 K/m1/3, ρi = 1.12 g/m3 (air density at the initial height of the inversion), H is the Heaviside step function, zi is the altitude of the lowermost crossing of the qt = 8 g/kg isosurface in each model column, and the parameters &kappa, F0 and F1 have the same values used in the 8th BL Cloud Workshop, as given below.

&kappa 85 m2/kg
F0 70 W/m2
F1 22 W/m2

Note that the third term in the radiative flux parameterization was chosen to preserve the observed (z-zi)1/3 structure in the &thetal profile for z > zi by balancing the large-scale subsidence under the assumption that the radiative heating rate is given by –1/icp) ∂F/∂z. This assumption implies that for models computing radiative heating as –&theta/(ρcpT) ∂F/∂z the balance between subsidence and radiative cooling will not quite preserve the observed structure, a minor inconsistency we can live with.

Surface Fluxes
The upward surface momentum fluxes should be < w'ui' >  = –ui u*2 /|U| 

where the wind component ui and the magnitude of the horizontal wind |U| are defined locally, and the friction velocity is fixed at u* = 0.25 m/s.

The upward sensible and latent heat fluxes (separate from any precipitation flux) should be fixed at the measured values of 16 and 93 W/m2, respectively. A surface air density of 1.21 kg/m3 should be used to convert the surface heat fluxes into kinematic units.

Sponge
We dampen the horizontal wind components and &thetal toward their initial values with a nudging coefficient that increases (with a sin2 altitude dependence) from 0 at z = 1250 m to (100 s)-1 at the top of the domain (z = 1500 m).

Experiments

We are requesting two six-hour simulations from each group: one with no sedimentation of condensed water and one with precipitation (sedimentation of cloud water and drizzle drops). We additionally request optional simulations in which (i) only the sedimentation of cloud water is included in a simulation without drizzle, and (ii) the sedimentation of cloud water is omitted in a simulation with drizzle.