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A linear stability analysis of two-layer moist convection with a saturation interface

Published online by Cambridge University Press:  05 October 2021

Hao Fu*
Affiliation:
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
*
Email address for correspondence: haofu@stanford.edu

Abstract

The linear convective instability of a mixture of dry air, water vapour and liquid water, with a stable unsaturated layer residing on an unstable saturated layer, is studied. It may serve as a prototype model for understanding the instability that causes mixing at the top of stratocumulus cloud or fog. Such a cloud-clear air interface is modelled as an infinitely thin saturation interface where radiative and evaporative cooling take place. The interface position is determined by the Clausius–Clapeyron equation, and can undulate with the evolution of moisture and temperature. In the small-amplitude regime two physical mechanisms are revealed. First, the interface undulation leads to the undulation of the cooling source, which destabilizes the system by superposing a vertical dipole heating anomaly on the convective cell. Second, the evolution of the moisture field induces non-uniform evaporation at the interface, which stabilizes the system by introducing a stronger evaporative cooling in the ascending region and vice versa in the descending region. These two mechanisms are competing, and their relative contribution to the instability is quantified by theoretically estimating their relative contribution to buoyancy flux tendency. When there is only evaporative cooling, the two mechanisms break even, and the marginal stability curve remains the same as the classic two-layer Rayleigh–Bénard convection with a fixed cooling source.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1. A schematic diagram of the two-layer set-up with (a) the dimensional values and (b) the non-dimensional values. The solid red lines denote temperature profiles, and the solid blue lines denote total water content profiles. The dashed black line denotes the basic state saturation interface. The light blue shadow denotes the saturated region. The deep blue shadow denotes the vertical profile of the liquid water content $q_l$ whose basic state non-dimensional value is $1-\lambda$ at $z=-1$ and $0$ at $z=0$.

Figure 1

Figure 2. A schematic diagram of (a) the effect of the undulating interface and (b) the effect of non-uniform evaporation at the interface. The solid blue line denotes the perturbed saturation interface. The dashed black line denotes the basic state saturation interface. The vertical blue arrows denote the vertical motion at the interface. The blue patch denotes the cooling anomaly and the red patch denotes the warming anomaly. The circulating red arrows in (a,b) denote the baroclinic torque produced by the interface undulation and non-uniform evaporation, respectively. The solid red lines denote the basic state temperature profiles ($\bar {T}$), and the dotted red lines denote the temperature profiles changed by the interface undulation or the non-uniform evaporation alone.

Figure 2

Figure 3. The marginal stability curve. (a) The solid red line is the Ref-F test, the dashed blue line is the Ref-E test, the solid black line is the Ref-ER test and the dashed green line is the Ref-ER test with the additional non-uniform radiative cooling at the interface (discussed in Appendix A). (b) The solid blue line and solid red line denote the $\lambda =0$ and $\lambda =1$ tests respectively for the reference $\gamma _T =-2.5$. The dashed blue line and dashed red line denote the corresponding tests for a double $\gamma _T$. In the code, we use $\lambda =10^{-10}$ to approximate $\lambda =0$ and $\lambda = 1-10^{-10}$ to approximate $\lambda =1$, to avoid dividing by zero. (c) The solid blue line and dashed red line denote changing $Pr$ to 0.5 and 2 times of their reference value ($Pr=1$), respectively. All tests in (b) and (c) are free TRBC tests with radiative cooling.

Figure 3

Figure 4. (a) The vertical profile of eigenfunction $\hat {w}$ (black line), $\hat {T}$ (red line) and $\hat {q}_t$ (blue line) for the Ref-F test. The magnitude is chosen by letting the maximum value of $\hat {w}$ be unit. The eigenfunctions $\hat {T}$ and $\hat {q}_t$ are further multiplied by $2 K_{cm}^2/Pr$ to make their magnitude close to unit, because (2.22) and (2.23) are close to advection–diffusion equations. (b) The reconstructed 2-D $x$-$z$ flow field, with $k_x=K_{cm}$. The magnitude of $\hat {w}$ is set as $\max \{|\hat {w}|\}=2$. The velocity vector is shown as the arrows. The $q_t$ (as a passive tracer in the fixed TRBC) is shown as the contour lines, with each line corresponding to an increment of 0.4. The domain width ‘4’ is arbitrary and does not mean a wavelength. (c) The same as (a), but for the Ref-E test, and with an additional $\hat {q}_l$ profile (green line) which is also multiplied by $2 K_{cm}^2/Pr$. (d) The same as (b), but for the Ref-E test, and the additional dashed white line denotes the interface $z_s$. Plots (e,f) are the same as (c,d), but for the Ref-ER test where both evaporative and radiative cooling are present. Results are shown for (a) $\text {Ref-F}\ Ra_{cm} =381.82\ K_{cm}=1.90$; (b) $\text {Ref-F}\ q_t$; (c) $\text {Ref-E}\ Ra_{cm} =381.82\ K_{cm}=1.90$; (d) $\text {Ref-E}\ q_t$; (e) $\text {Ref-ER}\ Ra_{cm} =263.46\ K_{cm}=1.58$; (f) $\text {Ref-ER}\ q_t$.

Figure 4

Figure 5. (a) The change of $\hat {z}_s/\hat {q}_t|_{z=0}$ with $\lambda$ for two $\gamma _T$ values, with other parameters identical to the Ref-ER test. The solid blue line denotes the test using the reference value $\gamma _T=-2.5$, and the solid red line denotes the double $\gamma _T$ test. The dashed blue and dashed red lines denote $(1-\lambda \gamma _T)^{-1}$ for the normal and double $\gamma _T$ test, respectively, which are the theoretical estimates of the lower bound (abbreviated as LB). (b) The dependence of $D\hat {q}_l|_{z=0^-}/D\hat {q}_t|_{z=0}$ on $Q_{rad}/\overline {Q_{evap}}$ (solid blue line), performed by changing $\gamma _T$ while fixing $\lambda$ and $M$ to the Ref-ER test value. The dashed blue line is $(1-\lambda )$ which is an estimated lower bound of $D\hat {q}_l|_{z=0^-}/D\hat {q}_t|_{z=0}$.

Figure 5

Figure 6. (a) The time series of the standard deviation of $w$, denoted as $\mathrm {std}(w)$, for $K=1.0$ (blue line), $K=1.5$ (red line), $K=2.0$ (yellow line), $K=2.5$ (purple line), $K=3.0$ (green line) tests of the nonlinear numerical simulation, for the Growth-E tests. The two dashed black lines denote $t_1=1.0$ and $t_2=1.2$ at which the $\mathrm {std}(w)$ is sampled to calculate the growth rate $\sigma =\{ \ln [ \mathrm {std}(w)|_{t_2} ] - \ln [ \mathrm {std}(w)|_{t_1}]\} / (t_2-t_1)$. (b) The same as (a), but for the Growth-ER tests. (c) The growth rate against wavenumber $K$. The theoretical calculation for the Growth-E tests is shown as the solid blue line, and that diagnosed from the nonlinear numerical simulation is shown as the blue ‘+.’ Those corresponding to the Growth-ER tests are shown as the solid red line and red ‘+.’ The Growth-E test at $K=1$ has a negative growth rate (very close to zero) and does not appear in this $\sigma >0$ plotting.

Figure 6

Figure 7. (a) The theoretical eigenfunctions for the Growth-E parameter test with $K=2.0$. (b) The normalized vertical profiles at the maximum $w$ column of the high-resolution numerical simulation that uses the Growth-E parameter. The profiles are calculated by subtracting the horizontal average, which are very close to the piecewise linear $\bar {T}$ in the small-amplitude regime. The labels and the normalization procedure are identical to those in figure 4. The simulation data uses the $t=1.4$ snapshot. Plots (c,d) are the same as (a,b), but for the Growth-ER parameter test. The $\hat {q}_l$ anomaly near $z=0$ in (b,d) is due to the smoothing treatment of (5.2) in the numerical model. Results are shown for (a) evap, theory; (b) evap, simulation; (c) evap + rad, theory; (d) evap + rad, simulation.

Figure 7

Figure 8. The $T$ and $T'$ (calculated by subtracting the horizontal average profile which is smoother than $\bar {T}$ in this finite-amplitude regime) of the Growth-E parameter test high-resolution simulation at $t=3.2$ are shown in (a,b), respectively. Plots (c,d) are the same as (a,b), but for the Growth-ER parameter test and a time snapshot at $t=2.3$. The motivation of using two different time snapshots is to make their amplitude comparable. The white dashed line denotes the saturation interface. Only the $-1\le z \le 2$ part of the domain is shown, because the upper level has little deviation from the basic state. Results are shown for (a) $t=3.20\ \textrm {evap}\ T$; (b) $t=3.20\ \textrm {evap}\ T'$; (c) $t=2.30 \ \textrm {evap}+\textrm {rad}\ T$; (d) $t=2.30\ \textrm {evap}+\textrm {rad}\ T'$.

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