Impact of the convection triggering function on single‐column model simulations

By S. Xie, Minghua Zhang. 2000

135 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/dedc284b25b633328c0de92dac85b4f49bec2de6

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In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

A mass-flux cumulus parameterization scheme for large-scale models: description and test with observations (2012, methodology): “5b also exist in the simulations from the NCAR CCM3 SCM (Xie and Zhang 2000).”
Intercomparison and evaluation of cumulus parametrizations under summertime midlatitude continental conditions (2002, methodology): “CCM3/SUNY uses a triggering mechanism proposed by Xie and Zhang (2000).”
Convective quasi-equilibrium in midlatitude continental environment and its effect on convective parameterization (2002, methodology): “Xie and Zhang (2000) found similar results when they used the Zhang and McFarlane (1995) convection scheme to simulate the precipitation time series in the SGP site of the ARM program with a single column model.”
Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements (2005, methodology): “An empirical convection triggering condition was imposed based on measurements of the large-scale atmospheric dynamics and SCM simulations at the ARM SGP site [Xie and Zhang, 2000].”
Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function (2019, methodology): “As described in Xie and Zhang (2000) and Suhas and Zhang (2014), the dCAPE is defined as”
Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems (2016, background): “JRA-25 and JRA-55 both use variations of the same prognostic mass-flux type Arakawa–Schubert convection scheme (Arakawa and Schubert, 1974), but JRA-55 implements a new triggering mechanism (Xie and Zhang, 2000).”
Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction (2004, methodology): “Some effects of introducing a new GCM parameterization can be assessed, for example, within the framework of single-column models (SCMs) or cloud-resolving models (CRMs) (e.g. Betts and Miller 1986, Krueger 1988, Krueger et al. 1995, Randall et al. 1996, Xie et al. 2002, Xu et al. 2002, Randall et a”
Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model (2018, background): “Earlier studies showed that the CAPE trigger caused the model convection to be triggered too easily and too frequently (e.g., Xie et al., 2004; Xie & Zhang, 2000).”