A mass‐flux convection scheme for regional and global models

By P. Bechtold, E. Bazile, F. Guichard, P. Mascart, E. Richard. 2001

619 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/eb88f61bfbc48bc557d152c76ac811557b35100d

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Citations in the corpus

Stochastic parametrization and model uncertainty (2009, background): “Shutts and Palmer (2007) sampled the coarse grid-columns by feeding temperature, humidity and wind profiles into a convective parametrization scheme (Bechtold et al., 2001) and using the predicted convective temperature tendency to group the columns into distinct ranges e.”
A Mass-Flux Scheme View of a High-Resolution Simulation of a Transition from Shallow to Deep Cumulus Convection (2006, background): “CRM studies of individual cumulus congestus clouds and deep (significantly precipitating) cumulus clouds by Carpenter et al. (1998) and Cohen (2000) reached similar conclusions to Zhao and Austin.”
Storm-Scale Numerical Rainfall Prediction for Five Precipitating Events over France: On the Importance of the Initial Humidity Field (2002, methodology): “;10 km), the subgrid-scale convection is parameterized by the Kain and Fritsch (1993) scheme, adapted to the MESO-NH model by Bechtold et al. (2001). The turbulence parameterization is based on a 1.”
A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction (2009, background): “Another historical approach is “mass flux” parameterization, first introduced in studies of cumulus convection (Ooyama 1971; Betts 1973; Yanai et al. 1973; Arakawa and Schubert 1974; Tiedtke 1989; Bechtold et al. 2001).”
An eddy‐diffusivity/mass‐flux parametrization for dry and shallow cumulus convection (2004, methodology): “…variables of the scheme are the two components, u, v, of the horizontal wind, the TKE, and the thermodynamic properties conserved in moist adiabatic processes, including water condensation and evaporation (Betts 1973): liquid-water potential temperature θl and total specific humidity, qt.”
Development and evaluation of a new regional coupled atmosphere–ocean model in the North Sea and Baltic Sea (2015, methodology): “The Kain and Fritsch (1993) convection scheme has been updated to the Bechtold Kain-Fritsch scheme (Bechtold et al., 2001) which separates the shallow and deep convection processes.”
The Kain–Fritsch Convective Parameterization: An Update (2004, methodology): “The method by which the KF scheme satisﬁes its closure assumptions is described in Bechtold et al. (2001).”
Sensitivity of moist convection to environmental humidity (2004, methodology): “The IFS was also run alternatively with ‘Meso-NH convection’ following the scheme of Bechtold et al. (2001).”
Intercomparison and evaluation of cumulus parametrizations under summertime midlatitude continental conditions (2002, background): “…Yao 1993) The deep convection scheme applicable to all types of convection McRAS Revised relaxed AS (Sud and Walker 1993) No MesoNH Bulk mass ux (Bechtold et al. 2001) The deep convection scheme applicable to all types of convection PNNL/CCM2 Bulk mass ux (Hack 1994) The deep convection scheme…”
Regional climate modelling (2008, methodology): “The moist convective adjustment scheme was replaced initially by the deep convection scheme of Kain and Fritsch [57] in [63], and later by that of Bechtold [9] in [64]).”
Satellite cloud and precipitation assimilation at operational NWP centres (2011, background): “Han and Pan, 2011) Linearized Large-scale precipitation Stiller and Ballard (2009a) Grid-scale condensation scheme, cloud (linearized Smith (1990) large-scale precipitation scheme cloud scheme + basic autoconversion) Linearized N/A Stiller and Ballard (2009b) Simplified Arakawa–Schubert convection D”
Lagrangian description of airflows using Eulerian passive tracers (2002, methodology): “The subgrid convection is parametrized with a one-dimensional (1D) mass ux scheme (Bechtold et al. 2001).”
A New Parameterization for Shallow Cumulus Convection and Its Application to Marine Subtropical Cloud-Topped Boundary Layers. Part I: Description and 1D Results (2004, methodology): “While we were in advanced stages of developing this parameterization, Bechtold et al. (2001) and von Salzen and McFarlane (2002) introduced cumulus parameterizations that each have features in common with our proposed approach.”
Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model (2011, methodology): “Among them, the Kain-Fritsch (KF) scheme (Kain and Fritsch, 1993; Bechtold et al., 2001), including more recent updates (Kain, 2004), is commonly used in regional models including the Weather Research and Forecasting (WRF) model (Skamarock et al., 2001).”
Lightning and convection parameterisations - uncertainties in global modelling (2007, methodology): “This is caused by rare, unrealistically strong convective updraft events, produced by the Bechtold et al. (2001) convection scheme. Consequently, due to the strong exponential dependency of the lightning frequency on the vertical velocity, this yields overestimated flash densities. Applying the same”