A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics
By R. Plant, George Craig. 2008
306 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/6292cbc5d52546fe7f56a8b9a6dcadc3212a5129
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
- Tim N. Palmer
- Martin Leutbecher
- Francisco J. Doblas-Reyes
- Roberto Buizza
- Antje Weisheimer
- G. Shutts
- T. Jung
- M. Steinheimer
In Global and Planetary Change
- Tim N. Palmer
- Martin Leutbecher
- Francisco J. Doblas-Reyes
- Roberto Buizza
- Antje Weisheimer
- G. Shutts
- T. Jung
- M. Steinheimer
Citations in the corpus
- Using a Stochastic Kinetic Energy Backscatter Scheme to Improve MOGREPS Probabilistic Forecast Skill (2011, background): “The eddy-straining hypothesis for the forcing of large-scale blocking is an example of this and involves the transfer of energy directly from me-ridionally elongated troughs embedded in diffluent flows to blocking flow dipoles (Shutts 1983).”
- CORRIGENDUM of the MJO Transition from Shallow to Deep Convection in Cloudsat-Calipso Data and GISS GCM Simulations (2012, background): “…specified, but it is often assumed for the purposes of GCM cumulus parameterizations that subgrid-scale variability, especially of boundary layer humidity, is the source of the stochastic convective response to a given thermodynamic state (e.g., Plant and Craig 2008; Tompkins and Berner 2008).”
- The Transition to Strong Convection (2009, background): “…scale convective processes for stochastic convective schemes (Buizza et al. 1999; Lin and Neelin 2000; Lin and Neelin 2003; Craig and Cohen 2006; Plant and Craig 2008; Tompkins and Berner 2008), these results point to a clear need to better characterize the transition to strong deep convection.”
- Stochastic parametrization and model uncertainty (2009, methodology): “An example of an approach where a parametrization is considered stochastic ab initio is the scheme developed by Plant and Craig (2008), where one assumes a statistical ensemble of convective plumes with inherently small sample size, leading to significant dispersion of some underlying probability…”