Observed Links Between Atmospheric Cloud Radiative Effects and Mesoscale Organization of Deep Convection

Abstract Recent research suggests atmospheric cloud radiative effect (ACRE) acts as an important feedback mechanism for enhancing the development of convective self‐aggregation in idealized numerical simulations. Here, we seek observational relationships between longwave (LW) ACRE and the spatial organization of mesoscale convective systems (MCSs) in the tropics. Three convective organization metrics that are positively correlated with the area of MCS, that is, convective organization potential, the area fraction of precipitating MCS, and the precipitation fraction of MCS, are used to indicate the degree of convective organization. Our results show that the contrast in the LW ACRE inside and outside an MCS is consistent across different MCS precipitation intensities throughout the life cycle of an MCS, typically 90–100 W/m 2 , and provides important positive feedback to the circulation of the given MCS. However, the LW ACRE inside and outside an MCS as well as their difference are not strongly related to the degree of organization, suggesting that the LW cloud radiative feedback may be supportive of MCS formation and maintenance without necessarily being a dominant factor for spatial organization of MCSs. The domain average vertical velocity does tend to be related to the measures of convective organization, suggesting that factors that favor large‐scale low‐level convergence may exert a leading effect in creating an environment favorable for mesoscale organization of deep convection.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-04-23
DOI
https://doi.org/10.1029/2024jd041030
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

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article

Observed Links Between Atmospheric Cloud Radiative Effects and Mesoscale Organization of Deep Convection

Hui Su, Yi‐Hung Kuo, Ni Dai, J. David Neelin et al.
Journal of Geophysical Research Atmospheres
Meteorological Phenomena and Simulations
article

Observed Links Between Atmospheric Cloud Radiative Effects and Mesoscale Organization of Deep Convection

Hui Su, Yi‐Hung Kuo, Ni Dai, J. David Neelin, Brian J. Soden
article en

Abstract

Abstract Recent research suggests atmospheric cloud radiative effect (ACRE) acts as an important feedback mechanism for enhancing the development of convective self‐aggregation in idealized numerical simulations. Here, we seek observational relationships between longwave (LW) ACRE and the spatial organization of mesoscale convective systems (MCSs) in the tropics. Three convective organization metrics that are positively correlated with the area of MCS, that is, convective organization potential, the area fraction of precipitating MCS, and the precipitation fraction of MCS, are used to indicate the degree of convective organization. Our results show that the contrast in the LW ACRE inside and outside an MCS is consistent across different MCS precipitation intensities throughout the life cycle of an MCS, typically 90–100 W/m 2 , and provides important positive feedback to the circulation of the given MCS. However, the LW ACRE inside and outside an MCS as well as their difference are not strongly related to the degree of organization, suggesting that the LW cloud radiative feedback may be supportive of MCS formation and maintenance without necessarily being a dominant factor for spatial organization of MCSs. The domain average vertical velocity does tend to be related to the measures of convective organization, suggesting that factors that favor large‐scale low‐level convergence may exert a leading effect in creating an environment favorable for mesoscale organization of deep convection.

Journal of Geophysical Research AtmospheresVol. 130(8)
University of Miami (US), University of California, Los Angeles (US), Hong Kong University of Science and Technology (HK), Princeton University (US)
National Science Foundation, U.S. Department of Energy, National Oceanic and Atmospheric Administration
Openalex Percentile: Top 87%
Meteorological Phenomena and Simulations
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