The Sensitivity of Intraseasonal Variability in the NCAR CCM3 to Changes in Convective Parameterization

By E. Maloney, D. Hartmann. 2001

209 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a9b3d64d369af42fa94225ad7df141098a52ce44

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

1. E. Maloney
2. Chidong Zhang
3. Duane Waliser
4. C. DeMott
5. David A. Randall
6. A. Sobel
7. N. Klingaman
8. Daehyun Kim

In Global and Planetary Change

1. E. Maloney
2. Chidong Zhang
3. Duane Waliser
4. C. DeMott
5. David A. Randall
6. A. Sobel
7. N. Klingaman
8. Daehyun Kim

Citations in the corpus

• Application of MJO Simulation Diagnostics to Climate Models (2009, background): “Additionally, more realistic MJO may arise through an improved representation of downdrafts and rain reevaporation (Maloney and Hartmann 2001) and modified convective closures (Zhang and Mu 2005a).”
• Surface Fluxes and Tropical Intraseasonal Variability: a Reassessment (2008, methodology): “Improvement of the MJO simulation is often possible by methods which appear somewhat consistent across various studies and models (Tokioka et al. 1988; Wang and Schlesinger 1999; Maloney and Hartmann 2001); broadly, anything which makes it more difficult for the deep convective parameterization to f”
• The Tropical Subseasonal Variability Simulated in the NASA GISS General Circulation Model (2012, background): “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).”
• Predictability of the Madden–Julian Oscillation in the Intraseasonal Variability Hindcast Experiment (ISVHE)* (2014, background): “…Slingo et al. 1996; Lin et al. 2006; Kim et al. 2009; Zhang et al. 2013) have indicated that inadequacies in cumulus 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…”
• The Transition to Strong Convection (2009, background): “…indicate that representations of convection in climate and weather models have deficiencies and that the simulations are sensitive to this (e.g., Maloney and Hartmann 2001; Joseph and Nigam 2006; Biasutti et al. 2006; Dai 2006; Tost et al. 2006; Bretherton 2007), including to processes…”
• Simulations of the Madden–Julian oscillation in four pairs of coupled and uncoupled global models (2006, background): “Meanwhile, increasing evidence has emerged that suggests simulations of the MJO have recently improved in some models (e.g., Gualdi and Navarra 1998; Maloney and Hartmann 2001; KemballCook et al. 2002; Inness and Slingo 2003; Liu et al 2005; Sperber et al. 2005).”
• 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).”
• Madden‐Julian Oscillation (2005, background): “treatment of convective processes can improve simulations of the MJO beyond what can result from a switch of conventional parameterization schemes [Wang and Schlesinger, 1999; Maloney and Hartmann, 2001].”
• Forecast Skill of the Madden-Julian Oscillation in Two Canadian Atmospheric Models (2008, methodology): “It has been observed that a significant part of tropical convective activity is organized in waves that are consistent with the theory of equatorially trapped waves in the linear shallow water framework of Matsuno (1966) and Lindzen (1967).”
• MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis (2017, unknown): “…improved by making appropriate changes to parameterizations, especially that of cumulus convection (Tokioka et al. 1988; Wang and Schlesinger 1999; Maloney and Hartmann 2001; Lin et al. 2008; Zhang and Song 2009; Hannah and Maloney 2011; Kim and Kang 2012; Kim et al. 2012), as summarized in Kim…”
• MJO-like Coherent Structures: Sensitivity Simulations Using the Cloud-Resolving Convection Parameterization (CRCP) (2003, background): “However, the results are compromised by their sensitivity to the particular parameterization scheme employed and scheme parameters (e.g., Chao and Lin 1994; Slingo et al. 1994; Chao and Deng 1998; Maloney and Hartmann 2001; Lee et al. 2001).”