A stochastic multicloud model for tropical convection
By Boualem Khouider, Joseph A. Biello, Andrew J. Majda. 2010
227 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/9e4bdab8a7f729eb527a66bba2929d23b5d259d5
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
- Stephan Rasp
- G. Yacalis
- Pierre Gentine
- G. Reinaudi
- Michael S. Pritchard
- Chaopeng Shen
- Peter Dueben
- Peter Bauer
In Global and Planetary Change
- Stephan Rasp
- G. Yacalis
- Pierre Gentine
- G. Reinaudi
- Michael S. Pritchard
- Chaopeng Shen
- Peter Dueben
- Peter Bauer
Citations in the corpus
- Could Machine Learning Break the Convection Parameterization Deadlock? (2018, background): “…between different types of convection, such as the transition from shallow to deep convection [ Khouider et al. , 2003; Khouider and Majda , 2006; Khouider et al. , 2010; Peters et al. , 2013; Couvreux et al. , 2015; D'Andrea et al. , 2014; Rochetin et al. , 2014a; 2014b], which is especially…”
- Stochastic climate theory and modeling (2015, unknown): “Furthermore, Majda and colleagues developed systematic stochastic multi-cloud parameterizations for organized convection 47,67,94,95 .”