Comparison of a global-climate model to a cloud-system resolving model for the long-term response of thin stratocumulus clouds to preindustrial and present-day aerosol conditions

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Abstract

The response of a case of thin, warm marine-boundary-layer (MBL) clouds to preindustrial (PI) and present-day (PD) conditions is simulated by a cloud-system resolving model (CSRM). Here, both the aerosol conditions and environmental conditions match those of a general circulation model (GCM). The environmental conditions are characterized by the initial condition and the large-scale forcings of humidity and temperature, as well as the surface fluxes. The response of the CSRM is compared to that simulated by the GCM. The percentage increase of liquid-water path (LWP) due to a change from the PI to PD conditions is ∼3 times larger in the CSRM than that in the GCM due to the formation of cumulus clouds. The formation of cumulus clouds is controlled by a larger increase in the surface latent-heat (LH) flux in the PD environment than in the PI environment rather than by the change in aerosols. However, the aerosol increase from the PI to PD level determines the LWP response in the stratocumulus clouds, while the impacts of changes in environmental conditions are negligible for stratocumulus clouds. The conversion of cloud liquid to rain through autoconversion and accretion plays a negligible role in the CSRM in the response to aerosols, whereas it plays a role that is as important as condensation in the GCM. Also, it is notable that the explicit simulation of microphysics in the CSRM leads to a smaller LWP in the CSRM than that in the GCM using heavily parameterized microphysics for stratocumulus clouds. The smaller LWP in the CSRM is closer to an observed LWP than the LWP in the GCM for stratocumulus clouds. Supplementary simulations show that increasing aerosols increase the sensitivity of the cloud responses to the PI and PD environmental conditions. They also show that aerosol effects on clouds depend on the cloud type. The LWP of warm cumulus clouds is more sensitive to aerosols than that of stratocumulus clouds. © Author(s) 2010.

Figures

  • Fig. 1. Vertical profiles of (a) initial potential temperature and water vapor mixing ratio and (b) initial horizontal wind (u, v) velocity for the CSRM runs.
  • Fig. 2. Vertical distribution of the time- and area-averaged (a) potential temperature large-scale forcing (K day−1) and (b) humidity large-scale forcing (g kg−1 day−1) for the CSRM runs.
  • Fig. 4. Time series of background aerosol number concentration (cm−3) averaged over the MBL in the CSRM runs.
  • Fig. 3. Time series of the surface SH and LH fluxes (W m−2) for the CSRM runs.
  • Table 1. Summary of simulations.
  • Table 2. Averaged LWP, effective radius, and cloud fraction. The standard deviations of LWP and effective radius in MODIS, the GCM-PD and the CSRM-PD simulations are shown in parentheses for the corresponding average periods.
  • Fig. 5. Vertical profiles of the area-averaged potential temperature and water-vapor mixing ratio at (a) 00:00 LST on 11 July, (b) 00:00 LST on 15 July, and (c) 16:00 LST on 20 July for CSRM- and GCM-PD runs.
  • Fig. 6. Time-height cross section of cloud-liquid mixing ratio (g kg−1) for (a) the CSRM-PD run, (b) the GCM-PD run, (c) the CSRM-PI run, (d) the GCM-PI run, (e) the CSRM-E(PD)-A(PI) run. Contours are at 0.01, 0.1, 0.4, and 0.6 g kg−1 for the period before 00:00 LST on 17 July in the CSRM-PD run and for the entire period in the GCM-PD and -PI runs and the CSRM-PI run. For the period after 00:00 LST on 17 July in the CSRM-PD run, contours are at 0.01, 0.4, and 0.6 g kg−1.

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Lee, S. S., & Penner, J. E. (2010). Comparison of a global-climate model to a cloud-system resolving model for the long-term response of thin stratocumulus clouds to preindustrial and present-day aerosol conditions. Atmospheric Chemistry and Physics, 10(13), 6371–6389. https://doi.org/10.5194/acp-10-6371-2010

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