2003
DOI: 10.1029/2002jd002966
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Sensitivity of the atmospheric lapse rate to solar cloud absorption in a radiative‐convective model

Abstract: [1] Previous radiative-convective model studies of the radiative forcing due to absorbing aerosols such as soot and dust have revealed a strong dependence on the vertical distribution of the absorbers. In this study, we extend this concept to absorption in cloud layers, using a one-dimensional radiative-convective model employing high, middle, and low cloud representations to investigate the response of the surface temperature and atmospheric lapse rate to increases in visible cloud absorption. The visible sin… Show more

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Cited by 6 publications
(11 citation statements)
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References 16 publications
(32 reference statements)
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“…Since SSTs are prescribed and do not change relative to the BASE case, aerosol forcing affects the surface energy balance principally over land areas, hence our focus is on the land domains. The clear‐sky aerosol SFC forcing over land (Table 2) is roughly a factor of 2 greater than the all‐sky SFC DRF because clouds dominate the optical depth when present, causing aerosols to affect the surface primarily in cloud‐free conditions [ Erlick and Ramaswamy , 2003]. At the top of the atmosphere, with the exception of XChW, the all‐sky anthropogenic DRF shifts in sign from negative to positive when comparing clear‐sky with all‐sky forcing, particularly for the HOD simulations.…”
Section: Aerosol Direct Radiative Forcing and Direct Radiative Efficimentioning
confidence: 99%
“…Since SSTs are prescribed and do not change relative to the BASE case, aerosol forcing affects the surface energy balance principally over land areas, hence our focus is on the land domains. The clear‐sky aerosol SFC forcing over land (Table 2) is roughly a factor of 2 greater than the all‐sky SFC DRF because clouds dominate the optical depth when present, causing aerosols to affect the surface primarily in cloud‐free conditions [ Erlick and Ramaswamy , 2003]. At the top of the atmosphere, with the exception of XChW, the all‐sky anthropogenic DRF shifts in sign from negative to positive when comparing clear‐sky with all‐sky forcing, particularly for the HOD simulations.…”
Section: Aerosol Direct Radiative Forcing and Direct Radiative Efficimentioning
confidence: 99%
“…Steeper LRs occur with higher levels of solar radiation (Hu, 1996;Erlick and Ramaswamy, 2003;Harlow et al, 2004). Higher wind speed also steepens LRs, especially at night (even close to dry adiabatic LR, −9.5 K/km), and moister atmospheres produce shallower LRs (close to moist adiabatic LR, −4.0 K/km) (Jain et al, 2008;Kirchner et al, 2013) Flow chart in this study continuous distribution and high resolution throughout the TP are still lacking.…”
Section: Introductionmentioning
confidence: 99%
“…Like the RCM simulations of Erlick and Ramaswamy [2003], in the global mean there is a slight increase in water vapor (or precipitable water, PRECIP WATER) and an increase in atmospheric stability, which is reflected in the decrease in precipitation (RAIN+SNOW), soil moisture, evaporation and sublimation (EVAP+SUBL), and latent heat release from the surface (LH SFC). As in the RCM simulations, in the global mean the troposphere has warmed because of the input of SW flux, and the overall response is similar to that of the RCM, albeit with different physics considerations [ Erlick and Ramaswamy , 2003]. However, this does not render an equivalence between RCM and GCM simulations for this kind of a perturbation.…”
Section: Resultsmentioning
confidence: 90%
“…The optical depths of the clouds are left unperturbed. This is similar to the low clouds only perturbation with nominal cloud optical depths in the RCM of Erlick and Ramaswamy [2003], except that the cloud amount is allowed to vary with time in each grid box and horizontal dynamics also plays a part. Again for simplicity of interpretation, the model's sea surface temperatures (SSTs) are prescribed in a similar fashion to Chen and Ramaswamy [1995] (fixed from year to year, but seasonally varying within a specific year), so that in assessing the surface temperature response we focus on the land surfaces only.…”
Section: Model Descriptionmentioning
confidence: 95%
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