A Cumulus Parameterization with State-Dependent Entrainment Rate. Part I: Description and Sensitivity to Temperature and Humidity Profiles

By M. Chikira, Masahiro Sugiyama. 2010

160 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0f2616459cb758770cb397433be8dd0af07652a8

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. Sungsu Park
3. Chidong Zhang
4. C. DeMott
5. N. Klingaman
6. Á. Adames
7. Hai Lin
8. Daehyun Kim

In Global and Planetary Change

1. E. Maloney
2. Chidong Zhang
3. Sungsu Park
4. C. DeMott
5. N. Klingaman
6. Á. Adames
7. Hai Lin
8. Daehyun Kim

Citations in the corpus

• Fifty Years of Research on the Madden‐Julian Oscillation: Recent Progress, Challenges, and Perspectives (2020, background): “…the effect of cumulus parameterization on the simulation of the MJO emphasized the sensitivity of parameterized convection to environmental moisture (e.g., Chikira & Sugiyama, 2010; L. Deng & Wu, 2010; Del Genio, 2012; D. Kim & Kang, 2012; D. Kim et al., 2012; L. Zhou, Neale, et al., 2012).”
• A Unified Convection Scheme (UNICON). Part I: Formulation (2014, background): “Some examples of convection-related problems in current GCMs are a double intertropical convergence zone (ITCZ) along the eastern equatorial Pacific ocean, toofrequent surface precipitation, grid storms (Williamson 2013), wrong phase and weak amplitude of the diurnal cycle of precipitation over the ”
• The double ITCZ bias in CMIP5 models: interaction between SST, large-scale circulation and precipitation (2015, background): “…be explained by a modification in the parameterization of convective entrainment that tends to supress deep convection over dry, subsiding regions: Chikira and Sugiyama (2010) used an entrainment rate that depends on the buoyancy of the convective parcel, whereas the entrainment rate was…”
• Entrainment and detrainment in cumulus convection: an overview (2013, methodology): “Finally, we apply the entrainment formulation suggested by Gregory (2001), which has also been advocated by DelGenio and Wu (2010) and Chikira and Sugiyama (2010), εGreg = βBw−2c ; B = g Tv Tv , (28) where B is the buoyancy, g is gravity, Tv and Tv are the virtual temperature and the cloudy…”
• Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity (2010, methodology): “Sugiyama (2009) and Chikira (2009). The scheme tends to produce larger entrainment 170 rate near the cloud base as compared with Pan and Randall’s scheme.”
• Atmosphere‐ocean coupled processes in the Madden‐Julian oscillation (2015, background): “…ascending convective parcel to environmental humidity, particularly in the middle troposphere [e.g., Tokioka et al., 1988; Bechtold et al., 2008; Neale et al., 2008; Chikira and Sugiyama, 2010; Hannah and Maloney, 2011; Subramanian et al., 2011; Hirons et al., 2013; Klingaman and Woolnough, 2014a].”
• Mechanisms of convective cloud organization by cold pools over tropical warm ocean during the AMIE/DYNAMO field campaign (2015, background): “Previous studies have shown that entrainment rate varies with height [Lin and Arakawa, 1997] and with thermodynamic variables such as CAPE and CIN [Cohen, 2000], relative humidity [Bechtold et al., 2008], and buoyancy [Chikira and Sugiyama, 2010].”