Phenomenology of convection-parameterization closure

Yano, Jun–Ichi; Bister, M.; Fuchs, Željka; Gerard, Luc; Phillips, Vaughan T. J.; Barkidija, S.; Piriou, Jean‐Marcel

doi:10.5194/acp-13-4111-2013

Cited by 50 publications

(50 citation statements)

References 125 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9. A common approach for the closure of convective parametrization consists in relating the cloud-base mass flux to the large-scale convective available potential energy (CAPE) -see Yano et al (2013) for a review of existing closures.…”

Section: Notesmentioning

confidence: 99%

A short review of numerical cloud-resolving models

Guichard

Couvreux

2017

Tellus A: Dynamic Meteorology and Oceanography

View full text Add to dashboard Cite

A cloud-resolving model (CRM) allows performing numerical simulations of convective clouds, such as shallow cumulus and stratocumulus, or storms and squall-lines with a resolution on the order of a few tens of metres to a few kilometres over a limited-area 4D (time and space) domain. The development of such models over the past decades is reviewed and their specific features are presented. The latter include a non-hydrostatic dynamic and parameterizations of sub-grid turbulence, microphysical and radiative processes. The capabilities of such models are discussed based on comparisons with observations and model-intercomparison studies. CRMs are used in a variety of ways, from the exploration of cloud phenomenology and process-understanding studies to the development of algorithms for satellite products, as well as to address climate issues and to develop convective and cloud parametrizations for large-scale weather and climate models. A few results illustrating this wide utilization are presented. The continuous increase of computer power induces rapid changes in modelling perspectives and therefore, influences the developments and applications of CRMs. This is discussed together with emerging scientific questions which will further benefit from CRM simulations.

show abstract

Section: Notesmentioning

confidence: 99%

A short review of numerical cloud-resolving models

Guichard

Couvreux

2017

Tellus A: Dynamic Meteorology and Oceanography

View full text Add to dashboard Cite

show abstract

“…In reviewing the closure problem [20], the difficulties were striking for the apparently simple task of identifying convection objectively from observations. Most of the observational analyses that we have reviewed use the precipitation rate as a measure of convection.…”

Section: How Can Observations Be Used For Convection Parameterizationmentioning

confidence: 99%

“…In this manner, an evolution of parameterized convection not influenced by noisy boundary-layer processes is obtained. The review by Yano et al emphasizes the superiority of the parcel-environment based closure against the boundary-layer controlled closure [20]. After its completion, this parcel-environment based closure is actually adopted at ECMWF.…”

Section: T11: Review Of Current State-of-the-art Of Closure Hypothesismentioning

confidence: 99%

“…Note that the modifications of entrainment-detrainment also achieves this goal, but typically in expense of deteriorating the model climatology. Our effort for a systematic investigation on the closure problem [20] has greatly contributed in identifying this key issue. Bechtold et al [10], in turn, have actually implemented our key conclusion into operation.…”

Section: T11: Review Of Current State-of-the-art Of Closure Hypothesismentioning

confidence: 99%

“…Our review on the closure [20] has facilitated in resolving the afternoon convection problem [10]: the question of onset of convection in late afternoon rather than in early afternoon, as found globally over land, by following the sun with the maximum of conditional instability as conventionally measured by CAPE (convective available potential energy). Many efforts were invested on modifying entrainment-detrainment parameters (e.g., [21,22]), because they appeared to control the transformation from shallow to deep convection (cf.…”

Section: T11: Review Of Current State-of-the-art Of Closure Hypothesismentioning

confidence: 99%

See 2 more Smart Citations

Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models: COST Action ES0905 Final Report

et al. 2014

View full text Add to dashboard Cite

The research network "Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models" was organized with European funding (COST Action ES0905) for the period of 2010-2014. Its extensive brainstorming suggests how the subgrid-scale parameterization problem in atmospheric modeling, especially for convection, Atmosphere 2015, 6 89 can be examined and developed from the point of view of a robust theoretical basis. Our main cautions are current emphasis on massive observational data analyses and process studies. The closure and the entrainment-detrainment problems are identified as the two highest priorities for convection parameterization under the mass-flux formulation. The need for a drastic change of the current European research culture as concerns policies and funding in order not to further deplete the visions of the European researchers focusing on those basic issues is emphasized.

show abstract

Evaluating convective parameterization closures using cloud‐resolving model simulation of tropical deep convection

Suhas

Zhang

2015

JGR Atmospheres

View full text Add to dashboard Cite

Closure is an important component of a mass flux-based convective parameterization scheme, and it determines the amount of convection with the aid of a large-scale variable (closure variable) that is sensitive to convection. In this study, we have evaluated and quantified the relationship between commonly used closure variables and convection for a range of global climate model (GCM) horizontal resolutions, taking convective precipitation and mass flux at 600 hPa as measures for deep convection. We have used cloud-resolving model simulation data to create domain averages representing GCM horizontal resolutions of 128 km, 64 km, 32 km, 16 km, 8 km, and 4 km. Lead-lag correlation analysis shows that except moisture convergence and turbulent kinetic energy, none of the other closure variables evaluated in this study show any relationship with convection for the six subdomain sizes. It is found that the correlation between moisture convergence and convective precipitation is largest when moisture convergence leads convection. This correlation weakens as the subdomain size decreases to 8 km or smaller. Although convective precipitation and mass flux increase with moisture convergence at a given subdomain size, as the subdomain size increases, the rate at which they increase becomes smaller. This suggests that moisture convergence-based closure should scale down the predicted mass flux for a given moisture convergence as GCM resolution increases.

show abstract

Phenomenology of convection-parameterization closure

Cited by 50 publications

References 125 publications

A short review of numerical cloud-resolving models

A short review of numerical cloud-resolving models

Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models: COST Action ES0905 Final Report

Evaluating convective parameterization closures using cloud‐resolving model simulation of tropical deep convection

Contact Info

Product

Resources

About