Clouds in the perturbed climate system : their relationship to energy balance, atmospheric dynamics, and precipitation

By Ernst Strüngmann Forum, J. Heintzenberg, R. Charlson. 2009

197 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3664d26ddb129c8e2da8fa829551938134d0b864

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Citations in the corpus

Aerosol- and updraft-limited regimes of cloud droplet formation: influence of particle number, size and hygroscopicity on the activation of cloud condensation nuclei (CCN) (2009, background): “…of aerosol chemical composition and hygroscopicity on a w : an effective hygroscopicity parameter (κ) Köhler model (Petters and Kreidenweis , 2007; Kreidenweis et al., 2009; Pöschl et al., 2009) and an osmotic coefficient (OS) reference model (Robinson and Stokes, 1959) which is more accurate…”
A single parameter representation of hygroscopic growth and cloud condensation nucleus activity – Part 3: Including surfactant partitioning (2012, unknown): “…asκCCN, κeffective, or κapparent(κapp) to specify that the value has been derived from CCN measurements and/or that a constant temperature-dependent surface tension was assumed in the calculation ofκ from an Sc, Dd pair (Pöschl et al., 2009; Sullivan et al., 2009a; Christensen and Petters, 2012).”
Aerosol-induced changes of convective cloud anvils produce strong climate warming (2010, background): “In numerous climate studies cloud aerosol interaction is shown to have the potential to be a key contributor to the radiative forcing (see Heintzenberg and Charlson, 2009 for detailed information).”
WRF-Solar: Description and Clear-Sky Assessment of an Augmented NWP Model for Solar Power Prediction (2016, result): “The methodology is similar to that used previously by other authors (Kinne et al. 2003, 2006; Kinne 2009; Kinne et al. 2013; Pappas et al. 2013) to develop climatologies including AeroCom, Hamburg (Pappas et al. 2013), and Max-PlanckInstitute Aerosol Climatology (MAC; Kinne et al. 2013).”
Causes of Higher Climate Sensitivity in CMIP6 Models (2020, background): “6 of 12 to be well-predicted by the product of two terms: the sensitivity of cloud properties to cloud controlling factors (CCFs; Stevens & Brenguier, 2009) and the change in the CCFs with warming (Brient & Schneider, 2016, Klein et al., 2017; Myers & Norris, 2016; McCoy et al., 2017; Qu et al.,…”
On the precipitation susceptibility of clouds to aerosol perturbations (2009, methodology): “Precipitation susceptibility therefore attempts to identify which types of clouds are most susceptible to aerosol influences, as manifested in changes in Nd [Feingold and Siebert, 2009].”
The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, background): “The results from the simulator have been used in numerous studies (Iga et al. 2007a; Suzuki et al. 2008; Collins and Satoh 2009; Noda et al. 2010; Sohn et al. 2010; Satoh et al. 2012b; Miyamoto et al. 2013; Tsushima et al. 2014).”