Climate impacts of ice nucleation
By Andrew Gettelman, Xiaohong Liu, D. Barahona, Ulrike Lohmann, Celia Chen. 2012
180 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c514bf92d76832b2d9f1efea85409c7c72678298
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Hugh Morrison
- Jason A. Milbrandt
- C. Hoose
- Xiaohong Liu
- Jiwen Fan
- Wojciech W. Grabowski
- Steven Ghan
- Olivier P. Prat
In Global and Planetary Change
- Hugh Morrison
- Jason A. Milbrandt
- Xiaohong Liu
- C. Hoose
- Jiwen Fan
- Wojciech W. Grabowski
- A. Fridlind
- Steven Ghan
Citations in the corpus
- Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges (2016, background): “For example, the implementation of prognostic equations for raindrops in cloud microphysics of GCMs (Posselt and Lohmann 2009; Gettelman and Morrison 2015) reduces aerosol indirect radiative forcing from 0.5 to 0.9Wm22 owing to the increased accretion rates and shifted distribution of raindrops.”
- Bounding Global Aerosol Radiative Forcing of Climate Change (2020, background): “Gettelman et al. (2012) found a positive RFaci[ice] of +0.3 W m−2, or about1328 a 20% offset of RFaci[liquid].”
- Technical Note: Estimating aerosol effects on cloud radiative forcing (2013, background): “20 Estimates of anthropogenic aerosol effects through the aerosol influence on clouds are often approximated (Rotstayn and Liu, 2005; Hoose et al., 2009; Chen et al., 2010; Gettelman et al., 2012) by the change in the cloud radiative forcing when anthropogenic emissions are introduced in simulations”
- Cloud feedback mechanisms and their representation in global climate models (2017, unknown): “While the representation of microphysical processes is much more refined in large-scale microphysics schemes, icephase processes remain diversely represented due to limitations in our understanding, particularly with regard to ice formation processes.(134,135) In models explicitly representing aeros”
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “the simulated global‐mean liquid water path, cloud forcing, cloud feedback, and for some even the climate sensitivity were found to depend strongly on the choice of the ice nucleation scheme (e.g., Barahona et al., 2010; DeMott et al., 2010; Garimella et al., 2018; Gettelman et al., 2012; Liu et al.”