Cloud Susceptibility to Aerosols: Comparing Cloud‐Appearance Versus Cloud‐Controlling Factors Regimes

Author:

Liu Jihu12ORCID,Zhu Yannian12ORCID,Wang Minghuai12ORCID,Rosenfeld Daniel13ORCID,Cao Yang12ORCID,Yuan Tianle45ORCID

Affiliation:

1. School of Atmospheric Sciences Nanjing University Nanjing China

2. Joint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research Nanjing University Nanjing China

3. Institute of Earth Sciences The Hebrew University of Jerusalem Jerusalem Israel

4. Joint Center for Earth Systems Technology University of Maryland Baltimore MD USA

5. Sciences and Exploration Directorate Goddard Space Flight Center Greenbelt MD USA

Abstract

AbstractClouds can be classified into regimes based on their appearance or meteorological controlling factors. The cloud appearance regimes inherently include adjustments to aerosol effects, such as transitions between closed and open cells. Therefore, calculating cloud susceptibilities to aerosols for each cloud‐appearance regime individually and then aggregating them excludes much of the cloud adjustment component of the susceptibilities. In contrast, aggregating susceptibilities over regimes defined by cloud‐controlling factors includes the full effects of cloud adjustments. Here we compared the susceptibilities of the two kinds of cloud regimes and demonstrated this effect. Overall, increasing cloud droplet number concentration (Nd) consistently correlates to weaker precipitation, higher cloud fraction (CF), and reduced liquid water path, regardless of how the regime is defined. However, their susceptibilities to Nd aggregated over cloud‐appearance regimes are significantly lower than those aggregated over cloud‐controlling factors regimes, with lower‐tropospheric stability (LTS) serving as an example to define cloud‐controlling factors regimes. This underestimation is more pronounced for CF susceptibility, where the susceptibility for cloud appearance regimes is only 1/4 of the susceptibility for cloud controlling regimes. These findings imply that relying solely on cloud‐appearance regimes may underestimate the effective radiative forcing produced by cloud adjustment (ERFaci). Nevertheless, the substantial variability in the magnitude of cloud adjustment across appearance regimes at similar LTS also suggests that a single cloud‐controlling factor is not sufficient to fully separate cloud regimes to quantify cloud adjustment. Therefore, identifying a comprehensive set of cloud‐controlling factors is essential for accurately quantifying cloud adjustments in future studies.

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Nanjing University

Government of Jiangsu Province

Publisher

American Geophysical Union (AGU)

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