Javascript must be enabled to continue!
Resolution Dependence of Southern Ocean Mixed-Phase Clouds in ICON
View through CrossRef
<p><span>Extratropical low-level mixed-phase clouds are difficult to represent in global climate models and generate substantial uncertainty in global climate projections (</span><span>Zelinka </span><span>et al. 2020</span><span>).</span><span> In this study we evaluate the simulated properties of Southern Ocean (SO) boundary layer mixed-phase clouds for August 2016 in the ICOsahedral Nonhydrostatic (ICON) model </span><span>(Z&#228;ngl et al. 2015)</span><span>. The bulk of the simulations are part of the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domain (DYAMOND) initiative (Stevens et al. 2020). Within DYAMOND, ICON was run with the German Weather Service (DWD) physics packages at resolutions ranging from the global climate scale to the convection-permitting scale. All simulations are evaluated with respect to their radiative and cloud properties using Clouds and the Earth&#8217;s Radiant Energy System (CERES, </span>Su et al. 2015<span>), Moderate Resolution Imaging Spectroradiometer (MODIS), and the raDAR-liDAR (DARDAR) version 2 </span><span>(Ceccaldi et al. 2013)</span><span> retrievals.</span></p><p>The analysis shows that previous and current versions of ICON overestimate cloud ice occurrence in low-level clouds across all latitudes in the SO. Furthermore, ICON, like many other global climate models, underestimates the reflectivity of SO boundary layer clouds. We can show that this effect is resolution dependent and largely due to an underestimation in cloud occurrence, rather than optical depth. Additional sensitivity experiments with respect to temporal model resolution and convection scheme assumptions were performed. We find a stronger model sensitivity with respect to spatial versus temporal resolution. Assumptions made within the convection scheme with respect to detrained cloud ice were found to impact the simulated total ice water content, but had a marginal impact on cloud-radiative properties.</p><p>In summary, while increases in model resolution increase cloud water content, cloud occurrence and cloud optical depth, considerable radiative biases remain in SO clouds in ICON at the convection-permitting scale. Furthermore, cloud ice forms to readily in state-of-the-art DWD ICON simulations at all spatio-temporal resolutions analysed.</p>
Title: Resolution Dependence of Southern Ocean Mixed-Phase Clouds in ICON
Description:
<p><span>Extratropical low-level mixed-phase clouds are difficult to represent in global climate models and generate substantial uncertainty in global climate projections (</span><span>Zelinka </span><span>et al.
2020</span><span>).
</span><span> In this study we evaluate the simulated properties of Southern Ocean (SO) boundary layer mixed-phase clouds for August 2016 in the ICOsahedral Nonhydrostatic (ICON) model </span><span>(Z&#228;ngl et al.
2015)</span><span>.
The bulk of the simulations are part of the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domain (DYAMOND) initiative (Stevens et al.
2020).
Within DYAMOND, ICON was run with the German Weather Service (DWD) physics packages at resolutions ranging from the global climate scale to the convection-permitting scale.
All simulations are evaluated with respect to their radiative and cloud properties using Clouds and the Earth&#8217;s Radiant Energy System (CERES, </span>Su et al.
2015<span>), Moderate Resolution Imaging Spectroradiometer (MODIS), and the raDAR-liDAR (DARDAR) version 2 </span><span>(Ceccaldi et al.
2013)</span><span> retrievals.
</span></p><p>The analysis shows that previous and current versions of ICON overestimate cloud ice occurrence in low-level clouds across all latitudes in the SO.
Furthermore, ICON, like many other global climate models, underestimates the reflectivity of SO boundary layer clouds.
We can show that this effect is resolution dependent and largely due to an underestimation in cloud occurrence, rather than optical depth.
Additional sensitivity experiments with respect to temporal model resolution and convection scheme assumptions were performed.
We find a stronger model sensitivity with respect to spatial versus temporal resolution.
Assumptions made within the convection scheme with respect to detrained cloud ice were found to impact the simulated total ice water content, but had a marginal impact on cloud-radiative properties.
</p><p>In summary, while increases in model resolution increase cloud water content, cloud occurrence and cloud optical depth, considerable radiative biases remain in SO clouds in ICON at the convection-permitting scale.
Furthermore, cloud ice forms to readily in state-of-the-art DWD ICON simulations at all spatio-temporal resolutions analysed.
</p>.
Related Results
Access impact of observations
Access impact of observations
The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be as...
Realistic representation of mixed-phase clouds increases projected climate warming
Realistic representation of mixed-phase clouds increases projected climate warming
Abstract
Clouds are the main source of uncertainties when projecting climate change. Mixed-phase clouds that contain ice and supercooled-liqu...
Transportation of Gaussian light beam in two-layer clouds by Monte Carlo simulation
Transportation of Gaussian light beam in two-layer clouds by Monte Carlo simulation
Based on the radiative transfer theory, the backscattering characteristics of water clouds and ice-water two layers clouds irradiated by infinite narrow collimated light beam are s...
Physical processes in polar stratospheric ice clouds
Physical processes in polar stratospheric ice clouds
A one‐dimensional model of cloud microphysics has been used to simulate the formation and evolution of polar stratospheric ice clouds. The model results are in general agreement wi...
Mid-level clouds are frequent above the southeast Atlantic stratocumulus clouds
Mid-level clouds are frequent above the southeast Atlantic stratocumulus clouds
Abstract. Shortwave-absorbing aerosols seasonally overlay extensive low-level stratocumulus clouds over the southeast Atlantic. While a lot of attention has been focused on the int...
Environmental History of Oceanic Noise Pollution
Environmental History of Oceanic Noise Pollution
The concept of “ocean noise” precedes the concept of “ocean noise pollution” by about half a century. Those seeking a body of scholarly literature on ocean noise as an environmenta...
Assessing the potential composition of Europa’s subsurface ocean from water-rock interactions.
Assessing the potential composition of Europa’s subsurface ocean from water-rock interactions.
<p><strong>Introduction:</strong> Constraining the composition of Europa&#8217;s ocean is critical to understanding whether it cou...
Resolution Dependence of Southern Ocean Mixed-Phase Clouds in ICON
Resolution Dependence of Southern Ocean Mixed-Phase Clouds in ICON
Extratropical low-level mixed-phase clouds (MPCs) are difficult to
represent in global climate models and generate substantial uncertainty
in global climate projections. In this st...

