A Simple Multicloud Parameterization for Convectively Coupled Tropical Waves. Part I: Linear Analysis

By Boualem Khouider, Andrew J. Majda. 2006

295 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/eef6f903cd227d55f4c95517737891d30935e185

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. A. Sobel
3. Daehyun Kim
4. D. Frierson
5. C. DeMott
6. N. Klingaman
7. Chidong Zhang
8. G. Bellon

In Global and Planetary Change

1. E. Maloney
2. A. Sobel
3. Daehyun Kim
4. D. Frierson
5. C. DeMott
6. N. Klingaman
7. Chidong Zhang
8. G. Bellon

In Oceanography

1. D. Frierson
2. E. Maloney
3. A. Sobel
4. Chidong Zhang
5. G. Bellon
6. Z. Kuang
7. Andrew J. Majda
8. Daehyun Kim

Citations in the corpus

• Surface Fluxes and Tropical Intraseasonal Variability: a Reassessment (2008, background): “Many of these include a second baroclinic mode in addition to the first (Mapes 2000; Majda and Shefter 2001a; Khouider and Majda 2006a,b; Kuang 2008), and some include non-equilibrium effects in their convective closures.”
• Fifty Years of Research on the Madden‐Julian Oscillation: Recent Progress, Challenges, and Perspectives (2020, background): “…with warm anomalies in the upper troposphere and cold anomalies in the lower troposphere, strong top‐heavy radiative heating may also destabilize the MJO by the stratiform instability mechanism (Del Genio & Chen, 2015; Khouider & Majda, 2006; Kuang, 2008; Mapes, 2000; K. H. Seo & Wang, 2010).”
• CORRIGENDUM of the MJO Transition from Shallow to Deep Convection in Cloudsat-Calipso Data and GISS GCM Simulations (2012, methodology): “Simple dynamical models that utilize an assumed interaction between tropospheric moisture and precipitation or the diabatic heating profile have had success producing MJO-like behavior (e.g., Khouider and Majda 2006; Kuang 2008; Raymond et al. 2009).”
• Could Machine Learning Break the Convection Parameterization Deadlock? (2018, background): “…understanding of entrainment has defied a unified theory even though important progresses have been made in recent years [ Khouider et al. , 2003; Khouider and Majda , 2006; De Rooy and Siebesma , 2010; Khouider et al. , 2010; Romps , 2010; Dawe and Austin , 2013; De Rooy et al. , 2013; Peters…”
• Challenges in Climate Science and Contemporary Applied Mathematics (2012, background): “Examples include the first theories and models for large-scale behavior of clouds in the tropics consistent with observations [91, 92, 63, 93, 85, 13, 61, 62], the development and use of ideas from empirical information theory to quantify and improve long range forecasting skill and climate sensitiv”
• The Mechanics of Gross Moist Stability (2009, unknown): “An alternative class of convectively coupled wave models was originated by Mapes (2000) and expanded upon by Majda and Shefter (2001a,b), Majda et al. (2004), Khouider and Majda (2006, 2007, 2008), Kuang (2008a,b), Andersen and Kuang (2008), etc.”
• Tropospheric water vapor, convection, and climate (2010, methodology): “The finding is supported by the MJO‐like behavior of more idealized models when midlevel moistening by congestus is given an explicit role in modulating deep convection [Khouider and Majda, 2006; Raymond and Fuchs, 2009; Kuang, 2008].”
• A Moisture-Stratiform Instability for Convectively Coupled Waves (2008, background): “While considerable analyses have been done on the linear stability of this model (KM06; Khouider and Majda, 2006b), its convective parameterization is rather complicated and an instability mechanism involving moisture was not clearly identified.”