Hierarchical modelling of tropical convective systems using explicit and parametrized approaches

Citation
Ch. Liu et al., Hierarchical modelling of tropical convective systems using explicit and parametrized approaches, Q J R METEO, 127(572), 2001, pp. 493-515
Citations number
31
Categorie Soggetti
Earth Sciences
Journal title
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
ISSN journal
00359009 → ACNP
Volume
127
Issue
572
Year of publication
2001
Part
B
Pages
493 - 515
Database
ISI
SICI code
0035-9009(200101)127:572<493:HMOTCS>2.0.ZU;2-D
Abstract
Cloud systems observed during 1-7 September of GATE are examined in a hiera rchical approach, namely: a two-dimensional cloud-resolving simulation usin g a 2 km grid length; two- and three-dimensional simulations using the Kain -Fritsch convective parametrization and 10, 15 and 25 km grid lengths; and coarse-grid simulations without any convective parametrization. All simulat ions are forced by the same objectively analysed time-varying large-scale a dvection of temperature and moisture. The domain-mean winds are relaxed to the observed wind profiles. Both the cloud-resolving modelling and the lower-resolution modelling with parametrized convection realize the three observed cloud system categories (squall line, non-squall cluster and scattered convection) and transitions among them. In particular, the well-organized fast-moving squall-type cloud system observed on 4 September is realized in a three-dimensional experime nt with parametrized convection. In contrast, the lower-resolution modellin g without any convective parametrization fails to produce the squall-type c onvective system during the weakly forced period but successfully represent s the non-squall cluster during strong forcing. This lack of success is mos tly attributed to convective triggering and the absence of resolved downdra ught-enhanced surface fluxes. These issues are not as critical during stron g large-scale forcing. The observed evolutions of temperature, water vapour mixing ratio, precipit ation and surface moisture flux are realized in all simulations. A common d eficiency is the overprediction of upper-level relative humidity. The simul ation with parametrized convection features a comparatively large low-level water vapour mixing ratio, a surface and upper-level cold temperature bias and a mid-tropospheric warm bias. This is mainly attributed to deficiencie s in how the Kain-Fritsch scheme represents convective mass flux, detrainme nt and entrainment by cumulus congestus.