Mixed-phase clouds in polar regions play a crucial role in surface ice melting. To accurately predict their radiative impact in climate models, an accurate representation of their microphysical structure is required. However, cloud ice content is generally underpredicted in models, when primary ice nucleation is constrained with measurements. Apart from uncertainties in primary ice formation, another possible explanation for this discrepancy is that most models underestimate secondary ice production. In this study we implement missing secondary ice production mechanisms in the Norwegian Earth System Model version 2 and investigate their impact on the representation of Arctic clouds observed at Ny-Alesund
Clouds, with their global average spatial coverage of nearly 70%, are an important constituent in Ea...
International audienceAbstract. Observations of orographic mixed-phase clouds (MPCs) have long shown...
Atmospheric models often fail to correctly reproduce the microphysical structure of Arctic mixed-pha...
Arctic clouds are among the largest sources of uncertainty in predictions of Arctic weather and clim...
Ice formation remains among the most poorly understood and hence poorly represented cloud processes ...
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...
Mixed-phase clouds in polar regions play a crucial role in surface ice melting. To accurately predic...
International audienceThe correct representation of Antarctic clouds in atmospheric models is crucia...
Mixed-phase clouds, which are composed of both supercooled liquid droplets and ice crystals, are ubi...
In situ measurements of Arctic clouds frequently show that ice crystal number concentrations (ICNCs)...
International audienceSecondary ice production (SIP) commonly occurs in coastal Antarctic stratocumu...
Clouds, with their global average spatial coverage of nearly 70%, are an important constituent in Ea...
International audienceAbstract. Observations of orographic mixed-phase clouds (MPCs) have long shown...
Atmospheric models often fail to correctly reproduce the microphysical structure of Arctic mixed-pha...
Arctic clouds are among the largest sources of uncertainty in predictions of Arctic weather and clim...
Ice formation remains among the most poorly understood and hence poorly represented cloud processes ...
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...
Mixed-phase clouds in polar regions play a crucial role in surface ice melting. To accurately predic...
International audienceThe correct representation of Antarctic clouds in atmospheric models is crucia...
Mixed-phase clouds, which are composed of both supercooled liquid droplets and ice crystals, are ubi...
In situ measurements of Arctic clouds frequently show that ice crystal number concentrations (ICNCs)...
International audienceSecondary ice production (SIP) commonly occurs in coastal Antarctic stratocumu...
Clouds, with their global average spatial coverage of nearly 70%, are an important constituent in Ea...
International audienceAbstract. Observations of orographic mixed-phase clouds (MPCs) have long shown...
Atmospheric models often fail to correctly reproduce the microphysical structure of Arctic mixed-pha...