Abstract

Abstract. Quantification of the radiative adjustment of marine low clouds to aerosol perturbations, regionally and globally, remains the largest source of uncertainty in assessing current and future climate. One of the important steps towards quantifying the role of aerosol in modifying cloud radiative properties is to quantify the susceptibility of cloud albedo and liquid water path (LWP) to perturbations in cloud droplet number concentration (Nd). We use 10 years of spaceborne observations from the polar-orbiting Aqua satellite to quantify the albedo susceptibility of marine low clouds to Nd perturbations over the northeast (NE) Pacific stratocumulus (Sc) region. Mutual information analysis reveals a dominating control of cloud state (e.g., LWP and Nd) on low-cloud albedo susceptibility, relative to the meteorological states that drive these cloud states. Through a LWP–Nd space decomposition of albedo susceptibilities, we show clear separation among susceptibility regimes (brightening or darkening), consistent with previously established mechanisms through which aerosol modulates cloud properties. These regimes include (i) thin non-precipitating clouds (LWP < 55 g m−2) that exhibit brightening (occurring 37 % of the time), corresponding to the Twomey effect; (ii) thicker non-precipitating clouds, corresponding to entrainment-driven negative LWP adjustments that manifest as a darkening regime (36 % of the time); and (iii) another brightening regime (22 % of the time) consisting of mostly precipitating clouds, corresponding to precipitation-suppression LWP positive adjustments. Overall, we find an annual-mean regional low-cloud brightening potential of 20.8±2.68 W m−2 ln(Nd)−1, despite an overall negative LWP adjustment for non-precipitating marine stratocumulus, owing to the high occurrence of the Twomey–brightening regime. Over the NE Pacific, clear seasonal covariabilities among meteorological factors related to the large-scale circulation are found to play an important role in grouping conditions favorable for each susceptibility regime. When considering the covarying meteorological conditions, our results indicate that for the northeastern Pacific stratocumulus, clouds that exhibit the strongest brightening potential occur most frequently within shallow marine boundary layers over a cool ocean surface with a stable atmosphere and a dry free troposphere above. Clouds that exhibit a darkening potential associated with negative LWP adjustments occur most frequently within deep marine boundary layers in which the atmospheric instability and the ocean surface are not strong and warm enough to produce frequent precipitation. Cloud brightening associated with warm-rain suppression is found to preferably occur either under unstable atmospheric conditions or humid free-tropospheric conditions that co-occur with a warm ocean surface.

Highlights

  • Changes in aerosol concentrations in the marine boundary layer, of either natural or anthropogenic origin, can lead to significant changes in the brightness of marine low-level clouds

  • The findings of this study (Sects. 4 and 5) feature two key perspectives: (i) the usage of the liquid water path (LWP)–Nd parameter space, supported by mutual information analyses (Sect. 4.1), helps to show clear separation between albedo susceptibility regimes that can be linked to physical mechanisms associated with aerosol effects on low clouds (Sect. 4.2 and 4.3); (ii) distinguished from previous work that minimized the covariability between meteorological drivers (e.g., Douglas and L’Ecuyer, 2019), this study adopts a top-down approach that embraces the covariability among meteorological factors while identifying conditions under which clouds are more susceptible to aerosol perturbations and quantifying the frequency of occurrence of these conditions (Sect. 5)

  • One of the main questions we want to address is under what meteorological conditions are marine low clouds most/least susceptible to aerosol perturbations or, in other words, what is the influence of meteorology on albedo and radiative susceptibilities? by quantifying the frequency of occurrence of susceptible conditions, and the potential radiative effect associated therewith, we have the means to quantify the radiative effect of aerosol–cloud interactions

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Summary

Introduction

Changes in aerosol concentrations in the marine boundary layer, of either natural or anthropogenic origin, can lead to significant changes in the brightness of marine low-level clouds. Despite routine shipping traffic, ship tracks are only rarely observed over major shipping corridors (only 0.002 % of the total oceangoing ship traffic; Campmany et al, 2009), in part due to the narrow range of meteorological conditions required for these bright tracks to form (Durkee et al, 2000) This suggests that the coupled large-scale meteorology and the associated cloud states have a strong impact on the susceptibility of low clouds to aerosol perturbations. The findings of this study (Sects. 4 and 5) feature two key perspectives: (i) the usage of the LWP–Nd parameter space, supported by mutual information analyses (Sect. 4.1), helps to show clear separation between albedo susceptibility regimes that can be linked to physical mechanisms associated with aerosol effects on low clouds (Sect. 4.2 and 4.3); (ii) distinguished from previous work that minimized the covariability between meteorological drivers (e.g., Douglas and L’Ecuyer, 2019), this study adopts a top-down approach that embraces the covariability among meteorological factors (obtained from ERA5 reanalyses) while identifying conditions under which clouds are more (or less) susceptible to aerosol perturbations and quantifying the frequency of occurrence of these conditions (Sect. 5)

Datasets
Methods
Albedo susceptibility in LWP–Nd space
Mean-state Ac–LWP–Nd relationship
Albedo susceptibility and regimes in the LWP–Nd space
Meteorological constraints
Albedo susceptibility in meteorology spaces
The role of seasonal covariability in meteorological conditions
Meteorology affects the occurrence of albedo susceptibility regimes
Findings
Concluding remarks
Full Text
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