Entrainment and detrainment in cumulus convection: an overview
By W. D. Rooy, P. Bechtold, K. Fröhlich, C. Hohenegger, Harm J. J. Jonker, D. Mironov, A. P. Siebesma, João Paulo Ramos Teixeira, J. Yano. 2013
347 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5f6d59a08c009459c73a65cb5552b89207582bc0
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In Atmospheric Science
- Alexander Khain
- Bjorn Stevens
- V. Phillips
- C. Hohenegger
- Hugh Morrison
- S. C. Heever
- L. Harris
- A. Semie
In Global and Planetary Change
- Alexander Khain
- V. Phillips
- Hugh Morrison
- Bjorn Stevens
- S. C. Heever
- C. Hohenegger
- Klaus D. Beheng
- A. Semie
Citations in the corpus
- An Analytical Model for Tropical Relative Humidity (2014, background): “…been many studies that have simulated theRHover the entire tropics using reanalyzed winds and an advection–condensation model (e.g., Yang and Pierrehumbert 1994; Sherwood 1996; Pierrehumbert 1998; Galewsky et al. 2005; Dessler and Minschwaner 2007; Pierrehumbert et al. 2007; Sherwood et al. 2010b).”
- Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, background): “248 Methods for convective parameterization development in LAMs and GCMs have been discussed in several studies [e.g., Arakawa, 2004; Yano et al., 2005, 2013; Plant, 2010; De Rooy et al., 2013].”
- Factors controlling the position of the Intertropical Convergence Zone on an aquaplanet (2012, result): “This mixing rate formula is adaptation of Equation 22 from de Rooy et al. (2012) without the height dependent scale to have a better comparability to the other mixing rate experiments discussed here.”
- The Formation of Wider and Deeper Clouds as a Result of Cold-Pool Dynamics (2014, background): “Thereby the positively buoyant cloud cores are shielded from dilution through entrainment and clouds can grow deeper [e.g., de Rooy et al. (2013), and references therein].”
- The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, result): “…studies suggest broad support by observations and the cloud resolving model (CRM) results (e.g., Bechtold et al., 2008; DelGenio, 2012; Derbyshire et al., 2004; de Rooy et al., 2013; Johnson, 1997; Raymond, 2000; Raymond & Zeng, 2000; Redelsperger et al., 2002; Sherwood, 1999; Tompkins, 2001).”
- Could Machine Learning Break the Convection Parameterization Deadlock? (2018, background): “A challenge in convective parameterization is the specification of the plume lateral entrainment [ Cohen , 2000; De Rooy et al. , 2013; Sherwood and Hernández-Deckers , 2013; Yeo and Romps , 2013; Tian and Kuang , 2016], its dependence on environmental conditions (e.g., free tropospheric dryness) […”
- Organization of tropical convection in low vertical wind shears: Role of updraft entrainment (2017, background): “…that the TKE or 3D Smagorinsky schemes represent mixing with more fidelity, but evaluating the respective schemes is not straightforward as even the definition of entrainment is still debated [Romps, 2010; Sherwood et al., 2013; Yeo and Romps, 2013; Dawe and Austin, 2013; De Rooy et al., 2013].”
- Representing Equilibrium and Nonequilibrium Convection in Large-Scale Models (2014, methodology): “To achieve this, two important properties of the convection scheme were required: an adaptive adjustment time scale for the CAPE and a realistic strong entrainment rate (Derbyshire et al. 2004; de Rooy et al. 2013).”