1988
DOI: 10.1256/smsqj.48105
|View full text |Cite
|
Sign up to set email alerts
|

Tropical forecasting at ECMWF: The influence of physical parametrization on the mean structure of forecasts and analyses

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
53
0

Year Published

1990
1990
2021
2021

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 71 publications
(55 citation statements)
references
References 0 publications
2
53
0
Order By: Relevance
“…To overcome this deficiency, the diffusive processes in the shallow convection were added to the TDK scheme. This scheme is described by the following diffusive terms for large scale (grid mean) dry static energy S and specific humidity q (Tiedtke et al 1988):…”
Section: A Bottom-heavy Diffusivity In the Shallow Convection Schemementioning
confidence: 99%
“…To overcome this deficiency, the diffusive processes in the shallow convection were added to the TDK scheme. This scheme is described by the following diffusive terms for large scale (grid mean) dry static energy S and specific humidity q (Tiedtke et al 1988):…”
Section: A Bottom-heavy Diffusivity In the Shallow Convection Schemementioning
confidence: 99%
“…The thermodynamic structure of the cloud is given by (4). The cloud-base closure needs particular care since it prescribes the initial cloudy plume properties and represents the ventilation of the sub-cloud layer (Tiedtke et al 1988). Betts (1976) introduced a closure of the mass flux at cloud base to describe the coupling between two layers.…”
Section: The Edmf Parametrizationmentioning
confidence: 99%
“…Because the mass-flux term is always active, one avoids discontinuities in model integration associated with switching between the turbulence and convection parametrizations. It also avoids the need of making rather ad hoc extrapolations of the mass flux at cloud base towards the surface (Tiedtke et al 1988).…”
Section: Introductionmentioning
confidence: 99%
“…Moist processes are obviously important for the modeling of clouds, precipitation, radiation, and latent heat release. The moisture field depends on parameterized physical processes (Tiedtke et al 1988;Gregory 1996;Tiedke 1993;Jakob and Klein 1999;Beljaars and Viterbo 1998), which can have substantial uncertainties, but it also depends on the large-scale motion, particularly the vertical motion. One way of assessing the model is by looking at systematic differences between forecasts and analyses.…”
Section: Modeling Aspects and Validationmentioning
confidence: 99%