MJO-like Coherent Structures: Sensitivity Simulations Using the Cloud-Resolving Convection Parameterization (CRCP)

By Wojciech W. Grabowski. 2003

174 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/83e5ebb4f8f9dc87866218c469b5c055d399aa06

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. David A. Randall
3. A. Sobel
4. Chidong Zhang
5. Bjorn Stevens
6. Sandrine Bony
7. N. Arnold
8. Ž. Fuchs

In Global and Planetary Change

1. E. Maloney
2. David A. Randall
3. A. Sobel
4. Chidong Zhang
5. Sandrine Bony
6. Bjorn Stevens
7. N. Arnold
8. Ž. Fuchs

Citations in the corpus

• Global‐scale convective aggregation: Implications for the Madden‐Julian Oscillation (2015, background): “Rotating versions of these globally uniform simulations have developed cyclones and MJO-like phenomena [Shi and Bretherton, 2014; Grabowski, 2003].”
• Intraseasonal Variability in an Aquaplanet General Circulation Model (2010, methodology): “Grabowski (2003) also suggested a role for WISHE in MJO organization in a simulation using the multiscale modeling framework (MMF, Randall et al. 2003).”
• Surface Fluxes and Tropical Intraseasonal Variability: a Reassessment (2008, methodology): “Besides GCMs with parameterized physics, these experiments can also be done in models with resolved convection such as the multiscale modeling framework (Grabowski 2003; Randall et al. 2003; Khairoutdinov et al. 2005; Khairoutdinov et al. 2008) or global cloud resolving models (Miura et al. 2007).”
• Tropospheric water vapor, convection, and climate (2010, background): “This work suggests a strong relationship between humidity, vertical motion, large-scale flow and moist convection [Grabowski, 2003; Bony and Emanuel, 2005].”
• Moisture modes and the Madden-Julian oscillation. (2009, background): “Grabowski (2001, 2003) found that a large-scale model in which the cumulus parameterization is replaced by a small CRM in each grid box produces an MJO-like disturbance.”
• A Cumulus Parameterization with State-Dependent Entrainment Rate. Part I: Description and Sensitivity to Temperature and Humidity Profiles (2010, background): “…Bretherton et al. 2004b; Sobel et al. 2004; Biasutti et al. 2006; Peters and Neelin 2006; Takayabu et al. 2006; Neelin et al. 2008) and CRM results (Tompkins 2001; Redelsperger et al. 2002; Grabowski 2003; Derbyshire et al. 2004), which showed suppression of deep convection under dry condition.”
• ATMOSPHERIC MOIST CONVECTION (2005, background): “F or p er so na l u se o nl y. ATMOSPHERIC MOIST CONVECTION 635 Thompkins (2001) to investigate the effect of water vapor feedbacks on convection, by Grabowski (2003) to investigate the interaction of convection with larger-scale circulations, and by Emanuel & Bister (1996), Pauluis & Held…”
• Stochastic generation of subgrid‐scale cloudy columns for large‐scale models (2004, background): “While the 2D CRM framework is known to simulate deep convection well (e.g. Rotunno et al. 1988; Grabowski et al. 1998), it is not obvious that the same is true for other cloud systems.”
• Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation (2012, background): “Under the convection–humidity positive feedback (e.g., Tompkins 2001; Grabowski 2003), a dry atmosphere is not favorable for deep convection to develop in many spots.”
• Madden‐Julian Oscillation (2005, methodology): “In another model where convective processes are explicitly calculated by a cloud-resolving model, interactive radiation can help but is not essential to MJO-like intraseasonal, eastward propagating supercloud clusters [Grabowski, 2003].”