https://egusphere.copernicus.org/preprints/2025/egusphere-2025-1165/

*Authors*
Ehsan Erfani and David L. Mitchell

*How to cite*. Erfani, E. and Mitchell, D. L.: Constraining a Radiative
Transfer Model with Satellite Retrievals: Implications for Cirrus Cloud
Thinning, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1165,
2025.

*Received: 11 Mar 2025 – Discussion started: 25 Mar 2025*

*Abstract*
The complex mechanisms governing the formation of cirrus clouds pose
significant challenges in the accurate simulation of cirrus clouds within
climate models, leading to uncertainties in predicting the cirrus cloud
response to aerosols and efficacy of cirrus cloud thinning (CCT), a climate
intervention method. One issue is related to the relative contributions of
homogeneous and heterogeneous ice nucleation. Recent satellite observations
from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation
(CALIPSO) suggest that cirrus clouds strongly affected by homogeneous ice
nucleation (i.e., homogeneous cirrus) play a more important role than
previously assumed. We employ a radiative transfer model to quantify the
cloud radiative effect for homogeneous and heterogeneous cirrus clouds at
the top of atmosphere (TOA), Earth's surface, and within the atmosphere.
The experiments are conducted using cirrus ice water content and effective
diameter vertical profiles from CALIPSO retrievals for homogeneous and
heterogeneous cirrus clouds across different regions (Arctic, Antarctic,
and midlatitude) and surface types (ocean and land). Results indicate that
homogeneous cirrus clouds exhibit stronger radiative effects than
heterogeneous cirrus, implying that transitioning from homogeneous to
heterogeneous cirrus, as an indicator of CCT efficacy, could induce
substantial surface cooling, particularly in polar regions during winter.
Estimated instantaneous surface cooling effects range from -0.7 to -1.0 W
m-2, with the TOA cooling reaching up to -1.6 W m⁻2. This study highlights
the need for improved representation of homogeneous cirrus in models to
better predict the climatic impacts of cirrus clouds and to assess the CCT
viability.

*Source: EGUSphere*

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