Solutions are obtained for convective regions in a continuously stratified, linearized primitive equation model using a smoothly posed moist convective adjustment parameterization of cumulus convection. In the approximation in which the convective adjustment time is fast compared to other processes, the vertical structure of the temperature field is constrained to be close to the quasi-equilibr...

In this study, optimal parameter estimations are performed for both physical and computational parameters in a mesoscale meteorological model, and their impacts on the quantitative precipitation forecasting (QPF) are assessed for a heavy rainfall case occurred at the Korean Peninsula in June 2005. Experiments are carried out using the PSU/NCAR MM5 model and the genetic algorithm (GA) for two pa...

Abstract The simulated radar reflectivity used by current mesoscale numerical weather prediction models can reflect the grid precipitation but cannot subgrid generated a cumulus parameterization scheme. To solve this problem, study developed new calculation method to obtain corresponding subgrid-scale and grid-scale based on Global/Regional Assimilation Prediction System (GRAPES) model of China...

Abstract Performance of global climate models (GCMs) is strongly affected by the cumulus parameterization (CP) used. Similar to approach in GFDL AM4, a double-plume CP, which unifies deep and shallow convection one framework, implemented tested NCAR Community Atmospheric Model version 5 (CAM5). Based on University Washington (UW) scheme, an additional plume was added represent convection. The p...

The sensitivity of nested WRF simulations of precipitating shallow marine cumuli and cold pools to microphysical parameterization is examined. The simulations differ only in their use of two widely used doublemoment rain microphysical schemes: the Thompson andMorrison schemes. Both simulations produce similar mesoscale variability, with the Thompson scheme producing more weak cold pools and the...