Abstract

Abstract. A cloud-resolving model (CRM) coupled to a new intermediate-complexity bulk aerosol scheme is used to study aerosol–boundary-layer–cloud–precipitation interactions and the development of pockets of open cells (POCs) in subtropical stratocumulus cloud layers. The aerosol scheme prognoses mass and number concentration of a single lognormal accumulation mode with surface and entrainment sources, evolving subject to processing of activated aerosol and scavenging of dry aerosol by clouds and rain. The CRM with the aerosol scheme is applied to a range of steadily forced cases idealized from a well-observed POC. The long-term system evolution is explored with extended two-dimensional (2-D) simulations of up to 20 days, mostly with diurnally averaged insolation and 24 km wide domains, and one 10 day three-dimensional (3-D) simulation. Both 2-D and 3-D simulations support the Baker–Charlson hypothesis of two distinct aerosol–cloud "regimes" (deep/high-aerosol/non-drizzling and shallow/low-aerosol/drizzling) that persist for days; transitions between these regimes, driven by either precipitation scavenging or aerosol entrainment from the free-troposphere (FT), occur on a timescale of ten hours. The system is analyzed using a two-dimensional phase plane with inversion height and boundary layer average aerosol concentrations as state variables; depending on the specified subsidence rate and availability of FT aerosol, these regimes are either stable equilibria or distinct legs of a slow limit cycle. The same steadily forced modeling framework is applied to the coupled development and evolution of a POC and the surrounding overcast boundary layer in a larger 192 km wide domain. An initial 50% aerosol reduction is applied to half of the model domain. This has little effect until the stratocumulus thickens enough to drizzle, at which time the low-aerosol portion transitions into open-cell convection, forming a POC. Reduced entrainment in the POC induces a negative feedback between the areal fraction covered by the POC and boundary layer depth changes. This stabilizes the system by controlling liquid water path and precipitation sinks of aerosol number in the overcast region, while also preventing boundary layer collapse within the POC, allowing the POC and overcast to coexist indefinitely in a quasi-steady equilibrium.

Highlights

  • Marine stratocumulus clouds cover broad swaths of the world ocean, exerting a strong net radiative cooling effect on climate due to their high albedo (Hartmann et al, 1992)

  • The turbulent circulations maintaining marine stratocumulus are on the order of the boundary layer thickness (1 km), far below the spatial scale resolved by global climate models (GCMs)

  • Each region holds the other in balance, a dynamically buffered system response in the spirit of Stevens and Feingold (2009). Interpreting this system in a reduced-complexity, slowmanifold framework, the evolution of each region is controlled by its mean number concentration (Na) and by the coupled evolution of inversion height, i.e., domain-mean entrainment, which is in turn set mainly by the areal fraction of the domain occupied by the overcast region vs the pockets of open cells (POCs)

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Summary

Introduction

Marine stratocumulus clouds cover broad swaths of the world ocean, exerting a strong net radiative cooling effect on climate due to their high albedo (Hartmann et al, 1992). It is still reasonable to ask whether one can define preferred “regimes” through which the aerosol–cloud system tends to evolve, and if so, whether the system can be expected to evolve between regimes smoothly or via rapid transitions, whether the system evolution is sensitive to small changes in the external forcings or initial conditions, and possible implications for the bistability of the coupled stratocumulus-cloud–aerosol system For this purpose, we couple to our CRM a new intermediate-complexity single-mode, double-moment bulk aerosol scheme inspired by Ivanova and Leighton (2008).

Model formulation
Single-mode aerosol scheme
Initialization and forcing
Subsidence
Microphysics
Simulations
Evolution through multiple cloud–aerosol regimes
Comparison with 3-D results
Stable equilibrium and sensitivity to forcing
Sensitivity to FT aerosol
Sensitivity to diurnal cycle of insolation
A reduced-order phase plane description of the aerosol–cloud system
POC simulations
Findings
Conclusions
Full Text
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