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

Gu, B.; Ren, Tong; Kuo, C. P.; Yang, Ping; Bowman, Kenneth P.

doi:10.1029/2020jd033968

Cited by 4 publications

(6 citation statements)

References 162 publications

(255 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the LW, MC6 has a smaller ω but a larger g than THM. The LW CRE is determined by both cloud LW absorption and scattering (Gu et al., 2021; Kuo et al., 2017; Ren, Yang, Schumacher, et al., 2020; Tang et al., 2018). As shown in Ren et al.…”

Section: Resultsmentioning

confidence: 99%

“…The LW CRE is determined by both cloud LW absorption and scattering (Gu et al, 2021;Kuo et al, 2017;Ren, Yang, Schumacher, et al, 2020;Tang et al, 2018). As shown in Ren et al (2021), given the same cloud description, the MC6 radiation scheme also yields a weaker LW CRE than the THM radiation scheme.…”

Section: Radiation Simulationsmentioning

confidence: 91%

“…The cooling and warming effects of clouds are often referred to as the shortwave (SW) and longwave (LW) cloud radiative forcings or effects (CREs; Ramanathan, 1987; Ramanathan et al., 1989; Stephens, 2005). Ice cloud SW and LW effects play a crucial role in the characteristics of atmospheric motions (e.g., Gu et al., 2021; A. Slingo & Slingo, 1988; J. Slingo & Slingo, 1991; Tian & Ramanathan, 2002, 2003) and the life cycle of these clouds (e.g., Dinh et al., 2010; Gasparini et al., 2019, 2022; Wall et al., 2018, 2020). These effects typically refer to the differences between clear‐sky and cloudy‐sky radiative fluxes exiting the top of the atmosphere (TOA).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations

Ren,

Yang,

Loeb

et al. 2023

JGR Atmospheres

Self Cite

View full text Add to dashboard Cite

Aqua satellite Moderate Resolution Imaging Spectroradiometer (MODIS) 1‐km observations are collocated with Clouds and the Earth's Radiant Energy System (CERES) fields of view taken during July 2008 afternoon satellite passes over the equatorial western Pacific Ocean. Radiation simulations are compared with collocated CERES observations to better understand the sensitivity of computed fluxes to two ice cloud broadband radiation parameterization schemes and inferred ice cloud characteristics. In particular, the radiation computational schemes and ice cloud property retrievals are based on two respective ice particle models, the MODIS Collection 6 (MC6) aggregate model and a more microphysically consistent two‐habit model (THM). The simulation results show that both MC6 and THM overestimate the shortwave (SW) and longwave (LW) cloud radiative effects at the top of the atmosphere, as compared to the CERES observations; the difference between the MC6 and THM‐based ice cloud retrievals is too small to compensate for the differences between the two model‐based radiation schemes. Therefore, the present finding suggests that broadband radiative simulations are more sensitive to the radiation parameterization scheme than to the input cloud properties retrieved using the corresponding ice cloud particle optical property model.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Radiation Simulationsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations

Ren,

Yang,

Loeb

et al. 2023

JGR Atmospheres

Self Cite

View full text Add to dashboard Cite

show abstract

“…The RRTMG computations in longwave bands explicitly consider cloud multiple scattering effects. Previous studies (e.g., Gu et al., 2021; Kuo et al., 2017) have shown the significance of accounting for cloud multiple scattering in longwave radiative flux computations. The 2/4‐stream approximation method (Fu et al., 1997; Kuo et al., 2020; Toon et al., 1989) is incorporated into the RRTMG_LW runs to account for cloud multiple scattering.…”

Section: Methods and Datamentioning

confidence: 99%

Quantification of Global Cloud Properties With Use of Spherical Harmonic Functions

Ding

Yang

Wang

et al. 2023

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

Spherical harmonic (SH) expansion is a useful tool to study any variable that has valid values at all latitudes and longitudes. The variable can be quantified as a sum of different spherical harmonic components, which are the spherical harmonic functions multiplied by their expansion coefficients. We find that the SH components of cloud radiative effect (CRE) have correlations with El Niño‐Southern Oscillation (ENSO) and the Hadley Circulation (HC). In particular, the expansion degree 2 (l=2 $l=2$) SH power spectrum component anomaly of CRE is strongly correlated with ENSO. The two dipole patterns appearing in the l=2 $l=2$ SH component anomaly map can be reasonably explained by a known mechanism of ENSO's impact on cloud properties. The l=3 $l=3$ and l=5 $l=5$ SH power spectrum components are correlated with HC intensity, whereas the l=6 $l=6$ and l=8 $l=8$ components are correlated with HC latitudinal widths. In ENSO warm and cold phases, the HC‐correlated SH components have opposite anomalies, which suggests the impact of ENSO on HC. This study illustrates that the SH expansion technique provides a different perspective to study the impacts of large‐scale atmospheric circulation on global cloud properties and radiative effects.

show abstract

“…As in previous studies (Chen et al., 2019, 2020; Gu et al., 2021; Huang et al., 2018), we chose a relatively coarse atmospheric horizontal resolution of 1.9° latitude by 2.5° longitude for computational efficiency. Each run simulates the 35‐year period of monthly mean from 1980 to 2014, and the last 30 years of simulations (1985–2014) are analyzed, discarding the first 5 years as a model spin‐up.…”

Section: Model Modification and Observational Datamentioning

confidence: 99%

Sensitivity of Arctic Surface Temperature to Including a Comprehensive Ocean Interior Reflectance to the Ocean Surface Albedo Within the Fully Coupled CESM2

Wei,

Ren,

Yang

et al. 2023

J Adv Model Earth Syst

Self Cite

View full text Add to dashboard Cite

Almost all current climate models simplify the ocean surface albedo (OSA) by assuming the reflected solar energy without the ocean interior contribution. In this study, an improved ocean surface albedo scheme is incorporated into the Community Earth System Model version 2 (CESM2) to assess the sensitivity of Arctic surface temperature to including ocean interior reflectance to the OSA. Fully coupled CESM2 simulations with and without ocean interior reflectance are subsequently performed, we focus on the analysis of Arctic surface temperature responses. Incorporating ocean interior reflectance increases absorbed solar radiation and warms the ocean, enhancing seasonal heat storage and release across the Arctic Ocean, and increasing sea ice reduction and positive climate feedbacks that elevates Arctic surface temperature. Seasonal variations in air‐surface temperature differences induce changes in turbulent heat flux patterns, concurrently modifying dynamic advection and moisture processes that affect boundary layer humidity and low clouds, especially in winter. Based on partitioning physical processes in the thermodynamic energy equation, surface air warming is induced primarily through positive heating anomalies of vertical advection, latent heat release, and longwave radiative forcing. Through an examination of the surface energy budget, skin temperature warming is driven predominantly by increased downward longwave radiation, positive surface albedo feedback in summer, and increased conductive heat transport from the ocean particularly in winter. Significant effects of ocean interior reflectance on the Arctic Ocean, including sea surface warming and sea ice reduction, justify the importance of ocean interior reflectance in climate models for better understanding of ongoing Arctic climate changes.

show abstract

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

Cited by 4 publications

References 162 publications

On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations

On the Consistency of Ice Cloud Optical Models for Spaceborne Remote Sensing Applications and Broadband Radiative Transfer Simulations

Quantification of Global Cloud Properties With Use of Spherical Harmonic Functions

Sensitivity of Arctic Surface Temperature to Including a Comprehensive Ocean Interior Reflectance to the Ocean Surface Albedo Within the Fully Coupled CESM2

Contact Info

Product

Resources

About