Arctic clouds are among the largest sources of uncertainty in predictions of Arctic weather and climate. This is mainly due to errors in the representation of the cloud thermodynamic phase and the associated radiative impacts, which largely depends on the parameterization of cloud microphysical processes. Secondary ice processes (SIP) are among the microphysical processes that are poorly represented, or completely absent, in climate models. In most models, including the Norwegian Earth System Model -version 2 (NorESM2), Hallet-Mossop (H-M) is the only SIP mechanism available. In this study we further improve the description of H-M and include two additional SIP mechanisms (collisional break-up and drop-shattering) in NorESM2. Our results in...
Underestimation of the proportion of supercooled liquid in mixed‐phase clouds in climate models has ...
Two types of Arctic mixed-phase clouds observed during the ISDAC and M-PACE field campaigns are simu...
This study uses large eddy simulations to test the sensitivity of single-layer mixed-phase stratocum...
Ice formation remains among the most poorly understood and hence poorly represented cloud processes ...
Mixed-phase clouds in polar regions play a crucial role in surface ice melting. To accurately predic...
For decades, measured ice crystal number concentrations have been found to be orders of magnitude hi...
The Arctic is very susceptible to climate change and thus is warming much faster than the rest of th...
In situ measurements of Arctic clouds frequently show that ice crystal number concentrations (ICNCs)...
Mixed-phase clouds, which are composed of both supercooled liquid droplets and ice crystals, are ubi...
International audienceThe correct representation of Antarctic clouds in atmospheric models is crucia...
With a nearly twice as strongly pronounced temperature increase compared to that of the Northern Hem...
The Arctic climate is changing; temperature changes in the Arctic are greater than at midlatitudes, ...
Atmospheric models often fail to correctly reproduce the microphysical structure of Arctic mixed-pha...
Underestimation of the proportion of supercooled liquid in mixed‐phase clouds in climate models has ...
Two types of Arctic mixed-phase clouds observed during the ISDAC and M-PACE field campaigns are simu...
This study uses large eddy simulations to test the sensitivity of single-layer mixed-phase stratocum...
Ice formation remains among the most poorly understood and hence poorly represented cloud processes ...
Mixed-phase clouds in polar regions play a crucial role in surface ice melting. To accurately predic...
For decades, measured ice crystal number concentrations have been found to be orders of magnitude hi...
The Arctic is very susceptible to climate change and thus is warming much faster than the rest of th...
In situ measurements of Arctic clouds frequently show that ice crystal number concentrations (ICNCs)...
Mixed-phase clouds, which are composed of both supercooled liquid droplets and ice crystals, are ubi...
International audienceThe correct representation of Antarctic clouds in atmospheric models is crucia...
With a nearly twice as strongly pronounced temperature increase compared to that of the Northern Hem...
The Arctic climate is changing; temperature changes in the Arctic are greater than at midlatitudes, ...
Atmospheric models often fail to correctly reproduce the microphysical structure of Arctic mixed-pha...
Underestimation of the proportion of supercooled liquid in mixed‐phase clouds in climate models has ...
Two types of Arctic mixed-phase clouds observed during the ISDAC and M-PACE field campaigns are simu...
This study uses large eddy simulations to test the sensitivity of single-layer mixed-phase stratocum...