TY - JOUR
T1 - Satellite Retrievals Show Adiabatic Fraction of Marine Low Clouds Decreasing With Increasing Temperature and Height Above Cloud Base
AU - Lu, Xin
AU - Rosenfeld, Daniel
AU - Zhu, Yannian
AU - Mao, Feiyue
AU - Pan, Zengxin
AU - Zang, Lin
AU - Gong, Wei
N1 - Publisher Copyright:
© 2025. The Author(s).
PY - 2025/3/16
Y1 - 2025/3/16
N2 - Cloud adiabatic fraction (fad) is an important metric that quantitatively characterizes the impact of atmospheric mixing on cloud thermodynamic properties. Due to the lack of vertical profiling of cloud water, previous studies on the vertical variability of fad within clouds have been confined to single cloud scales. Our prior research achieved a breakthrough in the large-scale retrieval of cloud adiabatic fraction, while it only provided two-dimensional information on the adiabatic fraction, leaving the vertical variation of the in-cloud adiabatic fraction unquantified. In this study, utilizing global-scale cloud fad data derived from our previous research, we developed a predictive function for global marine low-cloud fad based on cloud geometric thickness and cloud base temperature (CBT). This enabled us to successfully estimate the vertical distributions of fad within clouds across various temperature conditions on a global scale. The fad within clouds exhibits a quadratic reduction from the cloud base to the top, which is more pronounced at higher temperatures. Specifically, as the CBT rises from 2 to 24°C, the fad at cloud base diminishes from 0.85 to 0.23. The decreasing trend of fad within clouds with increasing temperatures is expected to reduce cloud albedo and coverage potentially constituting a positive radiative cloud feedback mechanism.
AB - Cloud adiabatic fraction (fad) is an important metric that quantitatively characterizes the impact of atmospheric mixing on cloud thermodynamic properties. Due to the lack of vertical profiling of cloud water, previous studies on the vertical variability of fad within clouds have been confined to single cloud scales. Our prior research achieved a breakthrough in the large-scale retrieval of cloud adiabatic fraction, while it only provided two-dimensional information on the adiabatic fraction, leaving the vertical variation of the in-cloud adiabatic fraction unquantified. In this study, utilizing global-scale cloud fad data derived from our previous research, we developed a predictive function for global marine low-cloud fad based on cloud geometric thickness and cloud base temperature (CBT). This enabled us to successfully estimate the vertical distributions of fad within clouds across various temperature conditions on a global scale. The fad within clouds exhibits a quadratic reduction from the cloud base to the top, which is more pronounced at higher temperatures. Specifically, as the CBT rises from 2 to 24°C, the fad at cloud base diminishes from 0.85 to 0.23. The decreasing trend of fad within clouds with increasing temperatures is expected to reduce cloud albedo and coverage potentially constituting a positive radiative cloud feedback mechanism.
UR - http://www.scopus.com/inward/record.url?scp=105000199783&partnerID=8YFLogxK
U2 - 10.1029/2024JD043178
DO - 10.1029/2024JD043178
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AN - SCOPUS:105000199783
SN - 2169-897X
VL - 130
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 5
M1 - e2024JD043178
ER -