2011
DOI: 10.1175/mwr-d-10-05013.1
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Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities

Abstract: Since April 2007, the numerical weather prediction model, COSMO (Consortium for Small Scale Modelling), has been used operationally in a convection-permitting configuration, named COSMO-DE, at the Deutscher Wetterdienst (DWD; German weather service). Here the authors discuss the model changes that were necessary for the convective scale, and report on the experience from the first years of operational application of the model. For COSMO-DE the ability of the numerical solver to treat small-scale structures has… Show more

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Cited by 1,039 publications
(963 citation statements)
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“…Staniforth and Wood, 2008;Weisman, 2008;Baldauf et al, 2011;Seity et al, 2011). At these resolutions, cumulus convection is partly resolved but still needs partial parametrisations.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Staniforth and Wood, 2008;Weisman, 2008;Baldauf et al, 2011;Seity et al, 2011). At these resolutions, cumulus convection is partly resolved but still needs partial parametrisations.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…The CCLM is a versatile limited-area atmospheric modelling system including a whole suite of model parametrizations (Steppeler et al, 2003;Doms and Förstner, 2004;Baldauf et al, 2011). It is based on the non-hydrostatic compressible atmospheric equations, uses the split-explicit time-stepping scheme (Klemp and Wilhelmson, 1978;Wicker and Skamarock, 2002), and is suited to applications with horizontal grid spacings from about 100 m to 100 km.…”
Section: Model Descriptionmentioning
confidence: 99%
“…The limitations of convection parameterised RCMs in the representation of the diurnal cycle of precipitation and the atmospheric conditions leading to convection are well-known and documented (e.g. Brockhaus et al 2008;Baldauf et al 2011;Fosser et al 2015). Reaching convection-permitting resolutions allows not only to eliminate a major source of uncertainties and errors, but also to improve the representation of hourly precipitation intensity and spatial distribution (Prein et al 2013;Fosser et al 2015) as well as the representation of surface fluxes (Tölle et al 2014).…”
Section: Introductionmentioning
confidence: 99%