Aerosol–Cloud Interactions in the Climate System

Michibata, Takuro

doi:10.1007/978-981-15-2527-8_35-1

Cited by 2 publications

(2 citation statements)

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“…If snow is converted into rain that is less radiatively opaque as the climate warms, the incoming solar radiation at the surface and outgoing long‐wave radiation will increase, driving a positive and negative feedback, respectively. This is one possible hypothesis based on a few limited models, but there is no consensus on the magnitude of these feedbacks and their mechanisms (Cesana et al., 2021; Hirota et al., 2022), due to uncertainties in our understanding and representation of aerosol‐cloud‐precipitation interactions (Michibata, 2022). However, the introduction of the PROG scheme increases the equilibrium climate sensitivity (ECS; e.g., Gettelman, Hannay, et al., 2019; Hirota et al., 2022).…”

Section: Summary and Discussionmentioning

confidence: 99%

Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM

Imura

Michibata

2022

J Adv Model Earth Syst

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Cloud and precipitation processes that interact in a nonlinear manner with aerosols have an important role in Earth's energy budget, hydrological cycle, and climate feedbacks (e.g., Goosse et al., 2018;Hartmann & Short, 1980;Schär et al., 1999). However, the nature of these processes remains unclear and is difficult to represent due to their physical complexity and large spatiotemporal variations. The representation of cloud and precipitation phases is important in robustly reproducing feedbacks in a future climate scenario (

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Section: Summary and Discussionmentioning

confidence: 99%

Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM

Imura

Michibata

2022

J Adv Model Earth Syst

Self Cite

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“…Given the complexity and interdipendence of ACI, advanced observational techniques combined with modeling approaches are thus required to disentangle the mixing of factors, unravel underlying mechanisms and quantify the impacts of aerosol on climate and the environment. In recent years, ACI has been the subject of many review articles [1][2][3][4][5][6] and its effects on the climate system has also been extensively surveyed [7][8][9][10][11]. While we refer the interested readers to these works for an in-depth overview of the current understanding of ACI, in this review we will focus our interest on the contributions of lidar techniques to this field.…”

Section: Introductionmentioning

confidence: 99%

Understanding Aerosol-Cloud Interactions Through Lidar Techniques: A Review

Cairo,

Di Liberto,

Dionisi

et al. 2024

Preprint

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

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Aerosol–Cloud Interactions in the Climate System

Cited by 2 publications

References 69 publications

Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM

Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM

Understanding Aerosol-Cloud Interactions Through Lidar Techniques: A Review

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