Simulation of the Madden–Julian Oscillation in the NCAR CCM3 Using a Revised Zhang–McFarlane Convection Parameterization Scheme
By G. Zhang, M. Mu. 2005
162 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/97fc1b74e80e0683d93bfd238a14e0db8a6cf6fa
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In Atmospheric Science
- David A. Randall
- E. Maloney
- Chidong Zhang
- C. DeMott
- N. Klingaman
- Duane Waliser
- Daehyun Kim
- K. Thayer‐Calder
In Global and Planetary Change
- David A. Randall
- E. Maloney
- Chidong Zhang
- C. DeMott
- N. Klingaman
- Duane Waliser
- Daehyun Kim
- K. Thayer‐Calder
In Oceanography
Citations in the corpus
- Forecast Skill of the Madden-Julian Oscillation in Two Canadian Atmospheric Models (2008, methodology): “Using the revised Zhang–McFarlane convection parameterization scheme that implements a new closure assumption and convection trigger, Zhang and Mu (2005) were able to obtain an improved simulation of the MJO in CCM3.”
- Simulations of the Madden–Julian oscillation in four pairs of coupled and uncoupled global models (2006, unknown): “In combination with other recent studies of MJO simulations (e.g., Inness et al. 2003; Liu et al 2005; Sperber et al. 2005; Zhang and Mu 2005), this demonstrates improvement from those diagnosed by Slingo et al.”
- Fifty Years of Research on the Madden‐Julian Oscillation: Recent Progress, Challenges, and Perspectives (2020, background): “…as triggering of deep convection is more severely inhibited in dry conditions (e.g., Bechtold et al., 2008; M. I. Lee et al., 2003; L.‐L. Lin et al., 2008; Ling et al., 2009; Maloney & Hartmann, 2001; G. J. Zhang & Mu, 2005; G. J. Zhang & Song, 2009; also see D. Kim & Maloney, 2017, for a review).”
- Global‐scale convective aggregation: Implications for the Madden‐Julian Oscillation (2015, result): “This is consistent with previous studies suggesting that the level of MJO activity in GCMs depends on a strong coupling between convection and tropospheric moisture [e.g., Tokioka et al., 1988; Wang and Schlesinger, 1999; Lee et al., 2003; Zhang and Mu, 2005; Kim et al., 2011].”
- Application of MJO Simulation Diagnostics to Climate Models (2009, methodology): “…convection (Tokioka et al. 1988; Wang and Schlesinger 1999; Lee et al. 2001; Maloney and Hartmann 2001; Maloney 2002; Lee et al. 2003; Zhang and Mu 2005a; Lin et al. 2008), (2) coupling to ocean models (Waliser et al. 1999; Hendon 2000; Kemball-Cook et al. 2002; Inness and Slingo 2003; Fu and…”
- Atmosphere‐ocean coupled processes in the Madden‐Julian oscillation (2015, background): “…1999]; by altering the convective parameterization to enhance shallow-convective heating and moistening east of the MJO active phase [e.g., Zhang and Mu, 2005; Li et al., 2009; Zhang and Song, 2009] or to produce more upper level heating from stratiform precipitation [Fu and Wang, 2009;…”
- Tropical Intraseasonal Variability in 14 IPCC AR4 Climate Models. Part I: Convective Signals (2006, unknown): “; Zhang and Mu 2005).”
- Surface Fluxes and Tropical Intraseasonal Variability: a Reassessment (2008, background): “For example, any model change which tends to inhibit deep convection tends to increase variability on a range of timescales, including the intraseasonal timescale (Tokioka et al. 1988; Wang and Schlesinger 1999; Zhang and Mu 2005; Lin et al. 2008).”
- The Tropical Subseasonal Variability Simulated in the NASA GISS General Circulation Model (2012, methodology): “The changes that have been made to this end differ in detail but have in common the tendency to inhibit deep cumulus convection (Tokioka et al. 1988; Wang and Schlesinger 1999; Maloney and Hartmann 2001; Lee et al. 2003; Zhang and Mu 2005; Lin et al. 2008).”