A new convective cloud field model based on principles of self-organisation

Nober, F. J.; Graf, Hans‐F.

doi:10.5194/acp-5-2749-2005

Cited by 38 publications

(38 citation statements)

References 36 publications

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“…This self-organisation cannot be simulated with most of the present convection parameterisations, even though some approaches to include such effects have already been undertaken (e.g. Donner et al, 2001;Nober and Graf, 2005). Only few previous comparisons of convection schemes focusing on the global scale imPublished by Copernicus GmbH on behalf of the European Geosciences Union.…”

Section: Considerable Efforts In Parameterising Convection Have Beenmentioning

confidence: 99%

“…They are often based on different assumptions, (e.g. Arakawa and Schubert, 1974;Kuo, 1974;Tiedtke, 1989;Hack, 1994;Zhang and McFarlane, 1995;Emanuel and Zivkovic-Rothman, 1999;Donner et al, 2001;Bechtold et al, 2001;Lin and Neelin, 2002;Nober and Graf, 2005), each of them having strengths and weaknesses (Arakawa, 2004). The so-called "superparameterisation" approach (Grabowski and Smolarkiewicz, 1999;Grabowski, 2004) might overcome some of the weaknesses (Randall et al, 2003), but since significantly more computational effort is required, hence application in atmospheric chemistry general circulation models (AC-GCM) is not feasible.…”

Section: Considerable Efforts In Parameterising Convection Have Beenmentioning

confidence: 99%

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Influence of different convection parameterisations in a GCM

2006

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Abstract. In global models of the atmosphere convection is parameterised, since the typical scale of this process is smaller than the model resolution. Here we address some of the uncertainties arising from the selection of different algorithms to simulate this process. Four different parameterisations for atmospheric convection, all used in state-of-the-art models, are implemented in the model system ECHAM5/MESSy for a consistent inter-comparison and evaluation against observations. Relatively large differences are found in the simulated precipitation patterns, whereas simulated water vapour columns distributions are quite similar and close to observations. The effects on the hydrological cycle and on the simulated meteorological conditions are discussed.

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Section: Considerable Efforts In Parameterising Convection Have Beenmentioning

confidence: 99%

Section: Considerable Efforts In Parameterising Convection Have Beenmentioning

confidence: 99%

Influence of different convection parameterisations in a GCM

2006

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“…Recently Nober and Graf (2005) published a new approach to convective cloud field parameterisation based on a full spectral Convective Cloud Field Model (CCFM, see their publication for details of the model). CCFM is based on a concept from population dynamics (specifically the LotkaVolterra equation is applied to determine the resulting cloud spectrum) to the field of convective cloud parameterisation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a new convective cloud field model: precipitation over the maritime continent

Graf

Yang

2007

Atmos. Chem. Phys.

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Abstract.A convective cloud field model (CCFM) is substituted for a standard mass flux parameterisation of convective clouds in a limited area atmospheric model (REMO) and is tested for a whole annual cycle (July 1997 to June 1998) over the West Pacific Maritime Continent. REMO with CCFM is run in 0.5-degree resolution and the model at the lateral boundaries is forced 6-hourly by ECMWF reanalysis data. Simulated precipitation from runs with the standard convection parameterisation and with CCFM is compared against two sets of observations. The use of CCFM clearly improves the simulated precipitation patterns and total rainfall over the whole model domain. The distribution between large-scale and convective precipitation becomes more realistic. CCFM shows to be a useful concept to describe convective cloud spectra in atmospheric models, although there are still similar problems with occasionally extreme precipitation as in the original set-up of REMO.

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“…For convective clouds, the vertical wind velocity in cloud can be of the order of 1.0 m s −1 or more (e.g. Nober and Graf, 2005).…”

Section: Model Configurationmentioning

confidence: 99%

On the discrepancies between theoretical and measured below-cloud particle scavenging coefficients for rain – a numerical investigation using a detailed one-dimensional cloud microphysics model

Wang¹,

Zhang

Moran

2011

Atmos. Chem. Phys.

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Abstract.Existing theoretical formulations for the size-resolved scavenging coefficient (d) for atmospheric aerosol particles scavenged by rain predict values lower by one to two orders of magnitude than those estimated from field measurements of particle-concentration changes for particles smaller than 3 µm in diameter. Vertical turbulence is not accounted for in the theoretical formulations of (d) but does contribute to the field-derived estimates of (d) due to its influence on the overall concentration changes of aerosol particles in the layers undergoing impaction scavenging. A detailed one-dimensional cloud microphysics model has been used to simulate rain production and below-cloud particle scavenging, and to quantify the contribution of turbulent diffusion to the overall (d) values calculated from particle concentration changes. The relative contribution of vertical diffusion to below-cloud scavenging is found to be largest for submicron particles under weak precipitation conditions. The discrepancies between theoretical and fieldderived (d) values can largely be explained by the contribution of vertical diffusion to below-cloud particle scavenging for all particles larger than 0.01 µm in diameter for which field data are available. The results presented here suggest that the current theoretical framework for (d) can provide a reasonable approximation of below-cloud aerosol particle scavenging by rain in size-resolved aerosol transport models if vertical diffusion is also considered by the models.

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A new convective cloud field model based on principles of self-organisation

Cited by 38 publications

References 36 publications

Influence of different convection parameterisations in a GCM

Influence of different convection parameterisations in a GCM

Evaluation of a new convective cloud field model: precipitation over the maritime continent

On the discrepancies between theoretical and measured below-cloud particle scavenging coefficients for rain – a numerical investigation using a detailed one-dimensional cloud microphysics model

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