Intercomparison and evaluation of cumulus parametrizations under summertime midlatitude continental conditions

By S. Xie, Kuan Xu, R. Cederwall, P. Bechtold, A. D. Del Genio, Stephen A. Klein, D. Cripe, Steven Ghan, D. Gregory, S. Iacobellis and 13 more. 2002

150 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/25d09fb177e414e8d9395bea36174e4c041a171b

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Citations in the corpus

An intercomparison of cloud‐resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data (2002, methodology): “It is probably essential that cloud-related parametrizations capture this feature for a proper representation of these convective systems (Xie et al. 2001).”
Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function (2019, background): “The model errors over land are thought to be associated with unrealistically strong coupling of convection to the surface heating, which is largely controlled by solar insolation in summer (Lee et al., 2007; Xie et al., 2002; Xie & Zhang, 2000; Zhang, 2002, 2003).”
Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction (2004, methodology): “…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 al. 2003).”
Evaluation of cloud‐resolving and limited area model intercomparison simulations using TWP‐ICE observations: 1. Deep convective updraft properties (2014, methodology): “This approach has also been extensively used for single-column models [e.g., Bechtold et al., 2000; Ghan et al., 2000; Wu and Moncrieff, 2001; Xie et al., 2002; Davies et al., 2013] and has recently been extended to limited area models (LAMs) for TWP-ICE [Zhu et al., 2012].”
Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period (2005, unknown): “A multimodel intercomparison has proven useful to identify strengths and weaknesses of model parameterizations by comparing results among different models and with observations [e.g., Ghan et al. , 2000; Xie et al. , 2002; Xu et al. , 2002].”
Confronting Models with Data: The Gewex Cloud Systems Study (2003, unknown): “WG4 has conducted extensive studies based on the ), and more recently on ARM data (Xu et al. 2002; Xie et al. 2002).”