A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing

Yang, Ping; Hioki, Souichiro; Saito, Masanori; Kuo, C. P.; Baum, Bryan A.; Liou, Kuo‐Nan

doi:10.3390/atmos9120499

Cited by 54 publications

(43 citation statements)

References 124 publications

(135 reference statements)

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“…Both liquid and ice cloud models assume gamma size distributions with an effective variance of 0.1. The MC6 ice cloud model has good spectral consistency of cloud optical thickness retrievals using the solar and thermal infrared bands (e.g., Yang et al., 2018). Bulk single scattering properties of cloud particles—including mass extinction coefficient, single scattering albedo, and asymmetry factor—are parameterized as a function of effective particle diameter in individual RRTMG LW bands (Kuo et al., 2020).…”

Section: Experimental Designmentioning

confidence: 99%

Global Impact of Cloud Longwave Scattering in an Atmosphere‐Only General Circulation Model Simulation

Ren

Kuo

et al. 2021

JGR Atmospheres

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Most general circulation models (GCMs) neglect cloud longwave scattering in pursuit of computational efficiency. This study implements the 2‐/4‐stream (2/4S) method, a relatively fast cloud longwave scattering treatment, in Community Atmospheric Model version 5 (CAM5) to analyze the impact of cloud longwave scattering on the large‐scale circulation. Two 45‐years‐long integrations are performed with prescribed sea surface temperature (SST). In the experiment run, cloud longwave scattering is included using the 2/4S method; in the control run, clouds only absorb in the longwave. The results show that cloud longwave scattering acts to enhance the cloud longwave (greenhouse) effect by reducing outgoing longwave radiation (OLR) and enhancing downward longwave irradiance at the surface. The OLR reduction is most significant over the tropics, where surface temperatures and cloud elevations are high. The surface downward irradiance increase is most significant over polar areas and the Tibetan Plateau, where cloud elevations are low and the air below clouds is dry. Inclusion of cloud longwave scattering enhances the Walker circulation, suggestive of the importance of diabatic radiative heating in the tropical circulation. Inclusion of cloud longwave scattering also appears to shift the eddy‐driven jet poleward in the austral summer in the Southern Hemisphere, suggesting that the cloud longwave effect plays a role in shaping the jet position. Persistent equatorward jet biases in GCMs may be reduced if cloud longwave scattering is considered.

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Section: Experimental Designmentioning

confidence: 99%

Global Impact of Cloud Longwave Scattering in an Atmosphere‐Only General Circulation Model Simulation

Ren

Kuo

et al. 2021

JGR Atmospheres

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“…Satellite-derived measurements of cirrus properties have become vastly more sophisticated with the advent of increased spatial and temporal resolution, a broader array of spectral channels, specialized detectors, and advances in scattering theory (e.g. Baum 2011;Sun 2011;Mauno 2011;Cole 2014;Tang 2017, Yang et al 2018.…”

Section: Introductionmentioning

confidence: 99%

Captured Cirrus Ice Particles in High Definition

Magee¹,

Boaggio²,

Staskiewicz³

et al. 2020

Preprint

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Abstract. Cirrus clouds composed of small ice crystals are often the first solid matter encountered by sunlight as it streams into Earth’s atmosphere. A broad array of recent research has emphasized that photon-particle scattering calculations are very sensitive to ice particle morphology, complexity, and surface roughness. Uncertain variations in these parameters have major implications for successfully parameterizing the radiative ramifications of cirrus clouds in climate models. To date, characterization of the microscale details of cirrus particle morphology has been limited by the particles’ inaccessibility and technical difficulty in capturing imagery with sufficient resolution. Results from a new experimental system achieve much higher resolution images of cirrus ice particles than existing airborne particle imaging systems. The novel system (Ice Cryo-Encapsulation by Balloon, ICE-Ball) employs a balloon-borne payload with environmental sensors and hermetically-sealed cryo-encapsulation cells. The payload captures ice particles from cirrus clouds, seals them, and returns them via parachute for vapor-locked transfer onto a cryo-scanning electron microscopy stage (cryo-SEM). From 2016–2019, the ICE-Ball system has successfully yielded high resolution particle images on nine cirrus-penetrating flights. On several flights, including one highlighted here in detail, thousands of cirrus particles were retrieved and imaged, revealing unanticipated particle morphologies, extensive habit heterogeneity, multiple scales of mesoscale roughening, a wide array of embedded aerosol particles, and even greater complexity than expected.

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“…Accurate estimation of ice cloud optical thickness (τ) and cloud particle effective radius ( R eff ) is fundamental to the study of parameterizing and constraining cloud radiative effects in global climate models (GCMs) (Baran, ; Liou & Yang, ; Loeb et al, ; Platnick & Oreopoulos, ) and for understanding the Earth's radiation budget (Chen et al, ; Liou, ; Stephens et al, ; Yang et al, ). In particular, the product of optical thickness and the effective particle size is proportional to the ice water path (IWP; Hansen & Travis, ; Yang et al, ). To infer these parameters from satellite sensor data, an ice particle model is necessary for the forward light scattering calculations involved in generating the look‐up tables in implementing a retrieval algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…To infer these parameters from satellite sensor data, an ice particle model is necessary for the forward light scattering calculations involved in generating the look‐up tables in implementing a retrieval algorithm. Recent studies indicate that the adoption of a forward ice cloud optical property model has a significant impact on cloud property retrievals (Baran , ; Baum et al, ; Loeb et al, ; Mishchenko et al, ; Platnick et al, ; Yang et al, ; Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model

et al. 2019

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The Multi-angle Imaging SpectroRadiometer (MISR) provides measurements over a wider scattering-angle range for a given location than a cross-track scanning sensor such as the MODerate resolution Imaging Spectroradiometer (MODIS). Based on a full year (2013) of fused MISR-MODIS datasets, we develop a variable surface roughness model for ice particles with the goal of identifying the optimal degree of roughness in the ice model for a given pixel containing single-layer ice clouds. For the MISR-MODIS observations over oceans, severe roughness values are often selected for a pixel when optical thickness (τ) and particle effective radius (R eff ) are large in conjunction with larger cloud heterogeneity index (H σ ) or a warmer cloud top temperature. Furthermore, τ, R eff , and ice water path are retrieved with the optimal model and compared to operational MODIS Collection 6 (MC6) products that assume a constant roughness. In general, the retrievals based on the present optimal model lead to greater consistency with MISR measurements, and result in larger median τ by 10.1% and smaller median R eff by 6.5% but almost identical ice water path in comparison with the MC6 counterparts. The higher average τ value is caused by a slightly larger number of large τ cases, but the smaller average R eff value is due to the shifting of the retrieved R eff value toward smaller values by approximately 2-4 μm in comparison to the MC6 distribution over all seasons. Both τ retrievals have similar regional and monthly variations, but a larger annual cycle of R eff is associated with the optimal model.

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A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing

Cited by 54 publications

References 124 publications

Global Impact of Cloud Longwave Scattering in an Atmosphere‐Only General Circulation Model Simulation

Global Impact of Cloud Longwave Scattering in an Atmosphere‐Only General Circulation Model Simulation

Captured Cirrus Ice Particles in High Definition

Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model

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