The Impact of Temperature on the Adiabaticity and Coverage of a Single Shallow Cumulus Cloud DOI Open Access
Kang‐En Huang, Minghuai Wang, Daniel Rosenfeld

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: June 8, 2024

The uncertainty of climate projection is significantly contributed by warm cloud feedback, which involves a complex interplay various mechanisms. However, it hard to unentangle temperature’s impact on single with experiments, since the dynamics always covaries environmental thermodynamical conditions. In this study, we investigate simulated shallow cumulus cloud’s response temperature using two perturbation methods, namely “uniform” and “buoyancy-fixed”, latter keeps buoyancy profile unchanged in perturbation. High-resolution large eddy simulation shows that uniform warming increases buoyancy, reducing adiabaticity. If fixed, only reduces area, leaving adiabatic fraction almost unchanged. Such can be explained Clausius-Clapeyron effect an idealized 1D diffusion model, showing cloud-environment absolute humidity difference more than increase liquid water content, resulting faster loss both coverage total solely lateral mixing. responses counteract, making insensitive change. Our works fraction’s sensitive perturbed structure boundary layer, reduction acts as positive feedback mechanism addition adjustment processes layer.

Language: Английский

Satellite Retrievals Show Adiabatic Fraction of Marine Low Clouds Decreasing With Increasing Temperature and Height Above Cloud Base DOI Creative Commons
Xin Lü, Daniel Rosenfeld, Yannian Zhu

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(5)

Published: March 8, 2025

Abstract Cloud adiabatic fraction (f ad ) is an important metric that quantitatively characterizes the impact of atmospheric mixing on cloud thermodynamic properties. Due to lack vertical profiling water, previous studies variability f within clouds have been confined single scales. Our prior research achieved a breakthrough in large‐scale retrieval fraction, while it only provided two‐dimensional information leaving variation in‐cloud unquantified. In this study, utilizing global‐scale data derived from our research, we developed predictive function for global marine low‐cloud based geometric thickness and base temperature (CBT). This enabled us successfully estimate distributions across various conditions scale. The exhibits quadratic reduction top, which more pronounced at higher temperatures. Specifically, as CBT rises 2 24°C, diminishes 0.85 0.23. decreasing trend with increasing temperatures expected reduce albedo coverage potentially constituting positive radiative feedback mechanism.

Language: Английский

Citations

0
Understanding Aerosol-Cloud Interactions Through Lidar Techniques: A Review DOI Open Access
Francesco Cairo, Luca Di Liberto, Davide Dionisi

et al.

Published: June 21, 2024

Aerosol-cloud interactions play a crucial role in shaping Earth’s climate and hydrological 1 cycle. Observing these with high precision accuracy is of the utmost importance 2 for improving models predicting climate. Over past few decades, lidar 3 techniques have emerged as powerful tools investigating aerosol-cloud due to their 4 ability provide detailed vertical profiles aerosol particles clouds spatial 5 temporal resolutions. This review paper provides an overview recent advancements study 6 using techniques. The begins description 7 different cloud microphysical processes that are affected by presence aerosol, 8 outline remote sensing application characterizing clouds. 9 subsequent sections delve into key findings insights gained from lidar-based studies 10 interactions. includes investigations 11 formation, evolution, properties. Finally, concludes outlook 12 on future research. By reporting latest methodologies, this aims 13 valuable researchers engaged science atmospheric

Language: Английский

Citations

1
Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review DOI Creative Commons
Francesco Cairo, Luca Di Liberto, Davide Dionisi

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(15), P. 2788 - 2788

Published: July 30, 2024

Aerosol–cloud interactions play a crucial role in shaping Earth’s climate and hydrological cycle. Observing these with high precision accuracy is of the utmost importance for improving models predicting climate. Over past few decades, lidar techniques have emerged as powerful tools investigating aerosol–cloud due to their ability provide detailed vertical profiles aerosol particles clouds spatial temporal resolutions. This review paper provides an overview recent advancements study ACI using techniques. The begins description different cloud microphysical processes that are affected by presence aerosol, outline remote sensing application characterizing clouds. subsequent sections delve into key findings insights gained from lidar-based studies interactions. includes investigations formation, evolution, properties. Finally, concludes outlook on future research. By reporting latest methodologies, this aims valuable researchers engaged science atmospheric

Language: Английский

Citations

1
The Impact of Temperature on the Adiabaticity and Coverage of a Single Shallow Cumulus Cloud DOI Creative Commons
Kang‐En Huang, Minghuai Wang, Daniel Rosenfeld

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(22)

Published: Nov. 16, 2024

Abstract The uncertainty of climate projection is significantly related to warm cloud feedback, which involves a complex interplay various mechanisms. However, it hard unentangle temperature's impact on single with experiments, since the dynamics always covary environmental thermodynamical conditions. In this study, we investigate simulated shallow cumulus cloud's response temperature using two perturbation methods, namely “uniform” and “buoyancy‐fixed”, latter keeps buoyancy profile unchanged in perturbation. High‐resolution large eddy simulations show that uniform warming increases buoyancy, reducing adiabaticity. If fixed, only reduces area, leaving adiabatic fraction almost unchanged. Such can be explained by Clausius‐Clapeyron effect an idealized 1D diffusion model, showing cloud‐environment absolute humidity difference more than increase liquid water content, resulting faster loss both coverage total solely lateral mixing. responses counteract, making insensitive change. Our work shows fraction's sensitive perturbed structure boundary layer, reduction acts as positive feedback mechanism addition adjustment processes layer.

Language: Английский

Citations

1
The Impact of Temperature on the Adiabaticity and Coverage of a Single Shallow Cumulus Cloud DOI Open Access
Kang‐En Huang, Minghuai Wang, Daniel Rosenfeld

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: June 8, 2024

The uncertainty of climate projection is significantly contributed by warm cloud feedback, which involves a complex interplay various mechanisms. However, it hard to unentangle temperature’s impact on single with experiments, since the dynamics always covaries environmental thermodynamical conditions. In this study, we investigate simulated shallow cumulus cloud’s response temperature using two perturbation methods, namely “uniform” and “buoyancy-fixed”, latter keeps buoyancy profile unchanged in perturbation. High-resolution large eddy simulation shows that uniform warming increases buoyancy, reducing adiabaticity. If fixed, only reduces area, leaving adiabatic fraction almost unchanged. Such can be explained Clausius-Clapeyron effect an idealized 1D diffusion model, showing cloud-environment absolute humidity difference more than increase liquid water content, resulting faster loss both coverage total solely lateral mixing. responses counteract, making insensitive change. Our works fraction’s sensitive perturbed structure boundary layer, reduction acts as positive feedback mechanism addition adjustment processes layer.

Language: Английский

Citations

0