Cloud Resolving Modeling

High Resolution Modeling of Multi-scale Cloud and Precipitation Systems Using a Cloud-Resolving Model Group Representative

A numerical strategy for efficient modeling of the equatorial wave guide.

Convection in the tropics is observed to involve a wide-ranging hierarchy of scales from a few kilometers to the planetary scales and also has a profound impact on short-term climate. The mechanisms responsible for this behavior present a major unsolved problem. A promising emerging approach to address these issues is cloud-resolving modeling. Here a family of numerical models is introduced spe...

Cloud‐system resolving simulations with the NASA Goddard Earth Observing System global atmospheric model (GEOS‐5)

[1] The NASA Global Modeling and Assimilation Office (GMAO) has developed a global non‐hydrostatic cloud‐ system resolving capability within the NASA Goddard Earth Observing System global atmospheric model version 5 (GEOS‐5). Using a non‐hydrostatic finite‐volume dynamical core coupled with advances in the moist physics and convective parameterization the model has been used to perform cloud‐sy...

Multiscale Models with Moisture and Systematic Strategies for Superparameterization

The accurate parameterization of moist convection presents a major challenge for the accurate prediction of weather and climate through numerical models. Superparameterization is a promising recent alternative strategy for including the effects of moist convection through explicit turbulent fluxes calculated from a cloud-resolving model. Basic scales for cloud-resolving modeling are the microsc...

Evaluation of Cloud Type Occurrences and Radiative Forcings Simulated by a Cloud Resolving Model Using Observations from Satellite and Cloud Radar

Because of both the various effects clouds exert on the earth-atmospheric system and the cloud feedback, correct representations of clouds in numerical models are critical for accurate climate modeling and weather forecast. Unfortunately, determination of clouds and their radiative feedback processes is still the weakest component of current general circulation models (e.g., Senior and Mitchell...

Jp2.5 the Use of Three-dimensional Analyses of Cloud Attributes for Diabatic Initialization of Mesoscale Models

Diabatic initialization of cloud-resolving forecast models such as MM5, RAMS, ARPS, and WRF allows these models to prognose the future of precipitating cloud systems such as snowstorms and thunderstorms that are present at the initial time. This is a solution to one of the most long-standing problems in NWP: the 1to 3-h spin-up of cloud systems caused by the use of traditional dry initialization.