Sensitivity of moist convection to environmental humidity

By S. Derbyshire, I. Beau, P. Bechtold, J. Grandpeix, J. Piriou, J. Redelsperger, P. M. M. Soares. 2004

498 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/419c5ec9b54c4d8f7d920b38e7358dd24fa22847

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Citations in the corpus

CORRIGENDUM of the MJO Transition from Shallow to Deep Convection in Cloudsat-Calipso Data and GISS GCM Simulations (2012, background): “Derbyshire et al. (2004) demonstrated that these models do not produce the sensitivity of convection depth to tropospheric humidity that occurs in cloud-resolving models.”
The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, methodology): “Similar approaches have also been used in the ECMWF model and other models for improving simulations of tropical variability such as the MJO, and previous studies suggest broad support by observations and the cloud resolving model (CRM) results [e.g., Johnson, 1997; Sherwood, 1999; Tompkins, 2001; R”
Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events (2018, methodology): “7, unlike what was found for CRM simulations by Mapes et al. [2017], and possibly indicative of a ﬂaw that is common to convective parameterizations [ Derbyshire et al. , 2004].”
ATMOSPHERIC MOIST CONVECTION (2005, background): “Such effects are not evident in many theories of moist convection, and recent work has focused on better incorporating these and other effects, such as the regulating role of convective inhibition (Derbyshire et al. 2004, Mapes 2000).”
Mixing‐length controls on high‐resolution simulations of convective storms (2013, unknown): “Therefore it appears that the depth of the convection in the shower cases was limited by the moisture at mid-levels as seen in other studies (e.g. Derbyshire et al., 2004).”
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.”
Moisture modes and the Madden-Julian oscillation. (2009, background): “Thus, evidence from a variety of sources suggests that the MJO is driven at least in part by moisture mode instability.”
Influence of the subcloud layer on the development of a deep convective ensemble (2012, result): “This was confirmed in simulations (Derbyshire et al. 2006; Wu et al. 2009; Waite and Khouider 2010) and in an observational study (Holloway and Neelin 2009).”
On the Role of Moist Processes in Tropical Intraseasonal Variability: Cloud–Radiation and Moisture–Convection Feedbacks (2005, background): “2001), a lack of sensitivity of parameterized convection to atmospheric moisture (Derbyshire et al. 2004; Grandpeix et al. 2004), or to coarse vertical resolution of climate models in the free troposphere.”
Tropospheric water vapor, convection, and climate (2010, background): “…of convective heating profiles to moisture above cloud base than suggested by observations and cloud‐resolving models [Redelsperger et al., 2002; Derbyshire et al., 2004], which may help explain why simulated convection occurs too early in the day over land [e.g., Yang and Slingo, 2001].”
A Moisture-Stratiform Instability for Convectively Coupled Waves (2008, background): “…of tropical convection is well supported by observations, numerical simulations, and theoretical reasoning (Brown and Zhang, 1997;Sherwood, 1999;Parsons et al., 2000;Redelsperger et al., 2002;Ridout, 2002;Derbyshire et al., 2004;Takemi et al., 2004;Roca et al., 2005;Kuang and Bretherton, 2006).”
The Global Atmospheric Circulation Response to Tropical Diabatic Heating Associated with the Madden–Julian Oscillation during Northern Winter (2012, background): “This is mainly because model precipitation has reasonable sensitivity to environmental humidity (Derbyshire et al. 2004), and the top-heavy vertical heating profile arising from convective detrainment of moisture to the environment and stratiform condensation acts”
The Mechanics of Gross Moist Stability (2009, background): “Various cloud-resolving models show a strong sensitivity of average precipitation rate to tropospheric humidity (Lucas et al. 2000; Derbyshire et al. 2004; Raymond and Zeng 2005) as do satellite observations using passive microwave imagery (Bretherton et al.”
Evolution of convection during tropical cyclogenesis (2007, methodology): “We rst outline the use of a numerical cloud model in weak temperature gradient (WTG) mode (Sobel and Bretherton 2000; Sobel et al. 2001; Derbyshire et al. 2004; Mapes 2004; Raymond and Zeng 2005) to follow the evolution of convection in the environment characteristic of an intensifying tropical dist”