On the Role of Moist Processes in Tropical Intraseasonal Variability: Cloud–Radiation and Moisture–Convection Feedbacks

By Sandrine Bony, Kerry A. Emanuel. 2005

144 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ae6627354bd6f5f5c668d02826d152af6a15ed5f

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Citations in the corpus

The Formation of Wider and Deeper Clouds as a Result of Cold-Pool Dynamics (2014, background): “In contrast, in an atmosphere close to saturation, where the formation of clouds and rain is facilitated, reevaporation of precipitation will be hampered and cold pools may turn out as rather weak [see, e.g., Bony and Emanuel (2005), their Eq.”
Pairing Measurements of the Water Vapor Isotope Ratio with Humidity to Deduce Atmospheric Moistening and Dehydration in the Tropical Midtroposphere (2012, background): “Bony and Emanuel (2005) note that the precipitation efficiency, which is defined as the fraction of condensed cloud water that is converted to precipitation, is a critical parameter in setting the tropospheric humidity.”
CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models (2013, methodology): “[2012], which is schematically shown in Figure 1 . In t he control climate (CTL), sea surface tem perat ure (SST) is specified along the GCSS/WGNE Pacific Cross Section Intercomparison (GPCI) [Teixeira et al., 2011] in the northeast Pacific by using the ECMWF (European Center for Medium-Range Weathe”
Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation (2012, background): “6), for which convection–humidity feedback plays an important role (Grabowski and Moncrieff 2004; Bony and Emanuel 2005).”
Physical mechanisms controlling self‐aggregation of convection in idealized numerical modeling simulations (2013, background): “, Bony and Emanuel, 2005). These are the exact same processes that control self-aggregation. Self-aggregation could be described as the result of feedbacks between moist convection and sources of column moist static energy that cause the atmosphere to be unstable to perturbations in the column moist”
The Role of Convective Moistening in the Madden–Julian Oscillation (2009, background): “The various theories and hypotheses of the MJO involving a simple and direct relationship between precipitation and column moisture have been supported by observational studies such as that of Bretherton et al. (2004). Their study analyzes four years of gridded tropical rainfall and column vapor sat”
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].”
Global‐scale convective aggregation: Implications for the Madden‐Julian Oscillation (2015, background): “…paradigm describes the MJO as a ‘‘moisture mode,’’ essentially a selfamplifying anomaly of water vapor and precipitation [Sobel et al., 2001; Grabowski and Moncrieff, 2004; Bony and Emanuel, 2005; Fuchs and Raymond, 2002; Raymond and Fuchs, 2009; Sugiyama, 2009; Sobel and Maloney, 2012].”
Intraseasonal Variability in an Aquaplanet General Circulation Model (2010, background): “The importance of cloud-radiative feedbacks to intraseasonal variability in the tropics is a subject of ongoing debate (e.g. Lin and Mapes 2004, Bony and Emanuel 2005).”
An Idealized Semi-Empirical Framework for Modeling the Madden–Julian Oscillation (2012, background): “…that this radiative feedback will be destabilizing and assist in the development and maintenance of intraseasonal disturbances (e.g., Raymond 2001; Sobel and Gildor 2003; Bony and Emanuel 2005; ZurovacJevtic et al. 2006; Sobel et al. 2008, 2010; Andersen and Kuang 2012; Landu and Maloney 2011).”
Observed Characteristics of the MJO Relative to Maximum Rainfall (2007, methodology): “Recently, the study of Bony and Emanuel (2005), which employed a simplified atmospheric model to examine the relationships between moisture, radiation, and convection, highlighted the importance of moist processes involved in obtaining realistic wave growth and propagation speeds of intraseasonal…”