Organization of tropical convection in a GCM with varying vertical resolution; implications for the simulation of the Madden-Julian Oscillation
By P. Inness, J. Slingo, S. Woolnough, Richard B. Neale, V. Pope. 2001
148 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/67f68e0bfc43cf11efc2ff1c48c1ac0d0acfd22d
How researchers see this paper
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In Atmospheric Science
- Chidong Zhang
- E. Maloney
- Duane Waliser
- David A. Randall
- C. DeMott
- Daehyun Kim
- M. Moncrieff
- N. Klingaman
In Global and Planetary Change
- Chidong Zhang
- E. Maloney
- David A. Randall
- Duane Waliser
- C. DeMott
- Daehyun Kim
- M. Moncrieff
- N. Klingaman
Citations in the corpus
- Moisture–convection feedback in the tropics (2004, methodology): “Interactions between moist convection and free-tropospheric humidity were shown to impact significantly the Madden–Julian Oscillation (MJO) simulated by climate models (Inness et al. 2001; Slingo et al. 2003).”
- MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models (2013, background): “This does not necessarily exclude the possible effect of convection scheme since sometimes the performance of a convection scheme is resolution dependent (Inness et al. 2001).”
- Atmosphere‐ocean coupled processes in the Madden‐Julian oscillation (2015, background): “First, it implies that intraseasonal air-sea interactions are primarily driven by the atmosphere.”
- Sensitivity of Simulated Climate to Horizontal and Vertical Resolution in the ECHAM5 Atmosphere Model (2006, background): “Although moistening by midtropospheric convective detrainment was also identified in HadAM3 L30 simulations (Pope et al. 2001; Inness et al. 2001), this was masked by other processes so that drying relative to L19 was simulated throughout the low-latitude troposphere.”
- Predictability of the Madden–Julian Oscillation in the Intraseasonal Variability Hindcast Experiment (ISVHE)* (2014, background): “…parameterization schemes (e.g., Maloney and Hartmann 2001; Liu et al. 2005; Vitart et al. 2007), coarse vertical resolution (Slingo et al. 1996; Inness et al. 2001), and lack of air–sea coupling (e.g., Hendon 2000; Fu et al. 2007; Woolnough et al. 2007) were some of the factors limiting the…”
- Simulations of the Madden–Julian oscillation in four pairs of coupled and uncoupled global models (2006, background): “Other possible factors include model resolutions (e.g., Hayashi and Golder 1986; Slingo et al. 1996, Gualdi et al. 1997; Inness et al. 2001; Duffy et al 2003), background state (e.”
- Application of MJO Simulation Diagnostics to Climate Models (2009, methodology): “2 hPa) Mass flux (Hong and Pan 1998) 20 yr Wang et al. (2005) CM2.1*–GFDL 28 lat 3 2.58 lon 24 (4.5 hPa) Mass flux (RAS, Moorthi and Suarez 1992) 20 yr Delworth et al. (2006) ECHAM4/ OPYC*–MPI T42 (2.”
- A New Multiscale Model for the MaddenJulian Oscillation (2005, background): “Both of these processes are important for the potential capability of GCMs in capturing the MJO (Inness et al. 2001; Slingo et al. 2003).”
- The Tropical Warm Pool International Cloud Experiment (2008, unknown): “The various meteorological and aerosol regimes that were sampled will provide an additional challenge: Can the models represent these differences, and how do they compare with observations? For example, it has been shown that models have particular difficulties representing convection reaching to th”
- Scale interactions on diurnal toseasonal timescales and their relevanceto model systematic errors (2003, background): “The results of Inness et al. (2001) have emphasized the importance of vertical resolution, in line with the recent study of Tompkins and Emanuel (2000), as well as the need to properly represent the tri-modal structure of tropical convection.”
- Madden‐Julian Oscillation (2005, background): “, 1999] may moisten the lower to middle troposphere and create a favorable condition for the upcoming active phase [Inness et al., 2001].”
- Assessing the vulnerability of food crop systems in Africa to climate change (2007, background): “The resolution of climate models has an impact on the skill of the simulations in reproducing observed climate (e.g. Inness et al. 2001 ).”