2020
DOI: 10.5194/acp-2020-571
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The nature of ice-nucleating particles affects the radiative properties of tropical convective cloud systems

Abstract: Abstract. Convective cloud systems in the maritime tropics play a critical role in global climate, but accurately representing aerosol interactions within these clouds persists as a major challenge for weather and climate modelling. We quantify the effect of ice-nucleating particles (INP) on the radiative properties of a complex Tropical Atlantic deep convective cloud field using a regional model with an advanced double-moment microphysics scheme. Our results show that the domain-mean daylight outgoing… Show more

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Cited by 4 publications
(7 citation statements)
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“…As forecasts of convective situations often have a low intrinsic predictability (e.g. Hohenegger and Schär, 2007), it is particularly interesting to use ensemble simulations with perturbed initial conditions as context for sensitivity experiments regarding the model formulation. Here, we use high-resolution ensemble simulations for the COPE case, which were already used by Miltenberger et al (2018b) to provide context for sensitivity experiments regarding the background aerosol concentration.…”
Section: Comparison To the Sensitivity To Initial Condition Perturbatmentioning
confidence: 99%
See 1 more Smart Citation
“…As forecasts of convective situations often have a low intrinsic predictability (e.g. Hohenegger and Schär, 2007), it is particularly interesting to use ensemble simulations with perturbed initial conditions as context for sensitivity experiments regarding the model formulation. Here, we use high-resolution ensemble simulations for the COPE case, which were already used by Miltenberger et al (2018b) to provide context for sensitivity experiments regarding the background aerosol concentration.…”
Section: Comparison To the Sensitivity To Initial Condition Perturbatmentioning
confidence: 99%
“…The latter is particularly important for convective situations with a small intrinsic predictability, as any small perturbation may rapidly amplify under these conditions (e.g. Hohenegger and Schär, 2007;Dey et al, 2014). The relevance of taking the predictability of different situations into account when assessing the sensitivity to parameterization changes is gaining increasing attention (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Climate models tend to oversimplify and poorly represent the ice-related processes such as ice formation triggered by the presence of INPs. INPs and ice production are important in deep convective clouds, 4,5 as well as shallow clouds, 3 but it is becoming increasingly clear that the representation of iceprocesses is particularly important in dening the amount of water and ice that models produce in shallow clouds. [6][7][8] This difficulty in properly representing the amount of supercooled water in shallow mid-and high-latitude mixed-phase clouds is a key cause of the large uncertainty in the negative cloud-phase feedback.…”
Section: Introductionmentioning
confidence: 99%
“…Dust, acting as cloud condensation nuclei (CCN) and ice nucleating particles (INPs), indirectly affects the Earth's energy balance by influencing cloud microphysical properties (DeMott et al, 2003;Atkinson et al, 2013;Hawker et al, 2021).…”
Section: Interaction With Cloudsmentioning
confidence: 99%
“…Dust is also a prominent source of INPs, exerting considerable influence on cold cloud processes all around the planet from the surface to the top of the troposphere (Murray et al, 2012;Vergara-Temprado et al, 2017;Froyd et al, 2022). The activation of INPs is influenced by various factors, including the properties of dust such as its composition, size, and surface defects, as well as environmental factors such as particle concentration, temperature and humidity (Möhler et al, 2006;Yakobi-Hancock et al, 2013;Takeishi and Storelvmo, 2018;Hawker et al, 2021). Recent modelling studies have analyzed the impact of INPs on convective clouds (Takeishi and Storelvmo, 2018;Hawker et al, 2021).…”
Section: Interaction With Cloudsmentioning
confidence: 99%