A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction

By J. Pergaud, Valéry Masson, S. Malardel, Fleur Couvreux. 2009

308 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/989d3e9f62d8bda1d362db8a3d85ac87c1a037c3

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. Andrew Gettelman
2. Hugh Morrison
3. P. Bogenschutz
4. Sandrine Bony
5. J. Dufresne
6. V. Larson
7. H. Shin
8. I. Musat

In Environmental Engineering

1. H. Shin
2. P. Bogenschutz
3. Andrew Gettelman
4. Hugh Morrison
5. Cheryl Craig
6. D. P. Schanen
7. J. Grandpeix
8. Frederic Hourdin

In Global and Planetary Change

1. Andrew Gettelman
2. Hugh Morrison
3. P. Bogenschutz
4. Sandrine Bony
5. J. Dufresne
6. V. Larson
7. I. Musat
8. Song‐You Hong

Citations in the corpus

• Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions (2015, background): “This is consistent with the performance of an eddy-diffusivity mass flux (EDMF) scheme (Pergaud et al. 2009) evaluated by Honnert et al. (2011).”
• Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model (2013, methodology): “The first is known as the eddy diffusion mass flux (EDMF) approach (Siebesma et al. 2007; Pergaud et al. 2009), which seeks to unify PBL and shallow convective processes by the marriage of traditionally used diffusion schemes in the PBL and the commonly used mass flux approach to parameterize…”
• LMDZ5B: the atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection (2013, methodology): “This approach was developed independently by two teams and since adopted in several groups (Soares et al, 2004; Siebesma et al, 2007; Pergaud et al, 2009; Angevine et al, 2010; Neggers et al, 2009; Neggers, 2009).”
• Overview of the Meso-NH model version 5.4 and its applications (2018, unknown): “Another mass flux formulation of convective mixing, proposed in the eddy-diffusivity mass flux approach (Hourdin et al., 2002; Soares et al., 2004), addresses this issue and has been introduced by Pergaud et al. (2009) into Meso-NH, called PMMC09.”
• Cloud-Resolving Ensemble Simulations of Mediterranean Heavy Precipitating Events: Uncertainty on Initial Conditions and Lateral Boundary Conditions (2011, background): “Roebber et al. (2004) highlighted the advantages and disadvantages of high-resolution modeling and ensemble fore-casts, and identified some major remaining challenges.”