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dc.contributor.authorGerard, Luc
dc.date2007-04
dc.date.accessioned2019-04-17T13:33:20Z
dc.date.available2019-04-17T13:33:20Z
dc.identifier.citationGerard, L. (2007), An integrated package for subgrid convection, clouds and precipitation compatible with meso‐gamma scales. Q.J.R. Meteorol. Soc., 133: 711-730. doi:10.1002/qj.58en_US
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/7219
dc.descriptionThe integration into a coherent package of the main ”moist” parametrizations – deep convection, resolved condensation, microphysics – of a limited area model is presented. The development of the package is aimed at solving efficiently the problem of combining ’resolved’ and ’subgrid’ condensation at all resolutions, in particular the range between 10 km and 2 km where deep convection is partly resolved, partly subgrid. The different schemes of the package are called in cascade, with intermediate updating of internal variables, so that for instance the initial profiles passed to the deep-convection scheme are already balanced with respect to resolved condensation effects. Further on, the clean separation of the contributions to the closure of the updraught and downdraught from the initial vertical profile from which they evolve prevents double counting. The convective parametrization works with a prognostic mass-flux scheme, and acts on the resolved variables through condensation and convective transport. It detrains condensates that are added to the prognostic resolved condensates. A sensitivity study in a single-column model, and further validation in three-dimensional experiments at different resolutions, are presented.en_US
dc.languageengen_US
dc.titleAn integrated package for subgrid convec- tion, clouds and precipitation compatible with the meso- gamma scales.en_US
dc.typeArticleen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.audienceScientificen_US
dc.subject.freeNumerical Weather Prediction - Deep Convection - Parameterization - Local area modelling; grey-zone resolutions; prognostic convection; prognostic microphysics.en_US
dc.source.titleQuarterly Journam of the Royal Meteorological Societyen_US
dc.source.volume133en_US
dc.source.issue624en_US
dc.source.page711-730en_US
Orfeo.peerreviewedYesen_US
dc.identifier.doi10.1002/qj.58
dc.source.editorRoyal Meteorological Societyen_US


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